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Citation Profile [Updated: 2025-11-20 18:08:17]
5 Years H Index
17
Impact Factor (IF)
0.15
5 Years IF
0.25
Data available in this report

[Raw data] [50 most cited papers] [50 most relevant papers] [cites used to compute IF] [Recent citations ][Frequent citing series ] [more data in EconPapers] [trace new citations] [Missing citations? Add them now] [Incorrect content? Let us know]

Main indicators
Raw Data

 

IF AIF CIF IF5 DOC CDO CIT NCI CCU D2Y C2Y D5Y C5Y SC %SC CiY II AII
2012 0 0.5 0 0 30 30 102 1 0 0 0 0 0.21
2013 0.13 0.54 0.07 0.13 43 73 64 5 6 30 4 30 4 0 1 0.02 0.24
2014 0.18 0.53 0.11 0.18 56 129 114 14 20 73 13 73 13 4 28.6 1 0.02 0.22
2015 0.14 0.53 0.15 0.18 58 187 84 28 48 99 14 129 23 3 10.7 2 0.03 0.22
2016 0.17 0.5 0.17 0.19 60 247 280 43 91 114 19 187 36 2 4.7 6 0.1 0.2
2017 0.26 0.52 0.21 0.19 63 310 52 63 155 118 31 247 47 23 36.5 2 0.03 0.21
2018 0.26 0.53 0.23 0.22 57 367 223 84 240 123 32 280 62 8 9.5 5 0.09 0.22
2019 0.14 0.54 0.24 0.25 109 476 337 113 353 120 17 294 74 0 26 0.24 0.21
2020 0.47 0.64 0.34 0.37 70 546 35 185 538 166 78 347 128 0 3 0.04 0.3
2021 0.37 0.74 0.34 0.37 59 605 45 207 745 179 66 359 134 0 7 0.12 0.27
2022 0.13 0.74 0.32 0.35 63 668 36 217 962 129 17 358 126 0 6 0.1 0.22
2023 0.21 0.7 0.29 0.34 60 728 14 210 1172 122 26 358 122 0 5 0.08 0.2
2024 0.15 0.82 0.27 0.25 57 785 9 209 1381 123 18 361 91 0 4 0.07 0.24
IF: Two years Impact Factor: C2Y / D2Y
AIF: Average Impact Factor for all series in RePEc in year y
CIF: Cumulative impact factor
IF5: Five years Impact Factor: C5Y / D5Y
DOC: Number of documents published in year y
CDO: Cumulative number of documents published until year y
CIT: Number of citations to papers published in year y
NCI: Number of citations in year y
CCU: Cumulative number of citations to papers published until year y
D2Y: Number of articles published in y-1 plus y-2
C2Y: Cites in y to articles published in y-1 plus y-2
D5Y: Number of articles published in y-1 until y-5
C5Y: Cites in y to articles published in y-1 until y-5
SC: selft citations in y to articles published in y-1 plus y-2
%SC: Percentage of selft citations in y to articles published in y-1 plus y-2
CiY: Cites in year y to documents published in year y
II: Immediacy Index: CiY / Documents.
AII: Average Immediacy Index for series in RePEc in year y
50 most cited documents in this series
#YearTitleCited
12016The ASAs Statement on p -Values: Context, Process, and Purpose. (2016). Wasserstein, Ronald L ; Lazar, Nicole A. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:2:p:129-133.

Full description at Econpapers || Download paper

146
22018Forecasting at Scale. (2018). Taylor, Sean J ; Letham, Benjamin. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:1:p:37-45.

Full description at Econpapers || Download paper

133
32019Moving to a World Beyond “p. (2019). Wasserstein, Ronald L ; Lazar, Nicole A ; Schirm, Allen L. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:1-19.

Full description at Econpapers || Download paper

76
42019Abandon Statistical Significance. (2019). Tackett, Jennifer L ; Gal, David ; Robert, Christian ; McShane, Blakeley B ; Gelman, Andrew. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:235-245.

Full description at Econpapers || Download paper

38
52016On the Conditional Distribution of the Multivariate Distribution. (2016). Ding, Peng. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:3:p:293-295.

Full description at Econpapers || Download paper

32
62019Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication. (2019). Amrhein, Valentin ; Greenland, Sander ; Trafimow, David. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:262-270.

Full description at Econpapers || Download paper

30
72014Kurtosis as Peakedness, 1905-2014. R.I.P.. (2014). Westfall, Peter H.. In: The American Statistician. RePEc:taf:amstat:v:68:y:2014:i:3:p:191-195.

Full description at Econpapers || Download paper

29
82012Measurement Error and the Hot Hand. (2012). Stone, Daniel. In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:1:p:61-66.

Full description at Econpapers || Download paper

28
92014Comment: Understanding Simpsons Paradox. (2014). Pearl, Judea. In: The American Statistician. RePEc:taf:amstat:v:68:y:2014:i:1:p:8-13.

Full description at Econpapers || Download paper

24
102019R-squared for Bayesian Regression Models. (2019). Gabry, Jonah ; Goodrich, Ben ; Gelman, Andrew ; Vehtari, Aki. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:3:p:307-309.

Full description at Econpapers || Download paper

24
112019The Perils of Balance Testing in Experimental Design: Messy Analyses of Clean Data. (2019). Pemantle, Robin ; Pham, Philip ; Mutz, Diana C. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:1:p:32-42.

Full description at Econpapers || Download paper

23
122016Visualizing Count Data Regressions Using Rootograms. (2016). Zeileis, Achim ; Kleiber, Christian. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:3:p:296-303.

Full description at Econpapers || Download paper

21
132015What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum. (2015). Hesterberg, Tim C. In: The American Statistician. RePEc:taf:amstat:v:69:y:2015:i:4:p:371-386.

Full description at Econpapers || Download paper

19
142018Structural Equation Models for Dealing With Spatial Confounding. (2018). Kneib, Thomas ; Thaden, Hauke. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:3:p:239-252.

Full description at Econpapers || Download paper

18
152019Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing. (2019). Manski, Charles. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:296-304.

Full description at Econpapers || Download paper

17
162019Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values. (2019). Greenland, Sander. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:106-114.

Full description at Econpapers || Download paper

17
172015Bayesian Variable Selection Under Collinearity. (2015). Ghosh, Joyee ; Ghattas, Andrew E. In: The American Statistician. RePEc:taf:amstat:v:69:y:2015:i:3:p:165-173.

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17
182018Optimal Whitening and Decorrelation. (2018). Strimmer, Korbinian ; Lewin, Alex ; Kessy, Agnan. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:4:p:309-314.

Full description at Econpapers || Download paper

15
192019Three Recommendations for Improving the Use of p-Values. (2019). Benjamin, Daniel ; Berger, James O. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:186-191.

Full description at Econpapers || Download paper

15
202016Understanding the Ensemble Kalman Filter. (2016). Katzfuss, Matthias ; Stroud, Jonathan R ; Wikle, Christopher K. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:4:p:350-357.

Full description at Econpapers || Download paper

15
212012Who Invented the Delta Method?. (2012). Jay M. Ver Hoef, . In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:2:p:124-127.

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14
222019Trial Size for Near-Optimal Choice Between Surveillance and Aggressive Treatment: Reconsidering MSLT-II. (2019). Tetenov, Aleksey ; Manski, Charles. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:305-311.

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11
232013The Power to See: A New Graphical Test of Normality. (2013). Rolke, Wolfgang ; Aldor-Noiman, Sivan ; Stine, Robert A. ; Brown, Lawrence D. ; Buja, Andreas. In: The American Statistician. RePEc:taf:amstat:v:67:y:2013:i:4:p:249-260.

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11
242019Assessing the Statistical Analyses Used in Basic and Applied Social Psychology After Their p-Value Ban. (2019). Han, Xiaoyan ; Woodall, William H ; Fricker, Ronald D ; Burke, Katherine. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:374-384.

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11
252014Dissonant Conclusions When Testing the Validity of an Instrumental Variable. (2014). Lorch, Scott ; Rosenbaum, Paul R. ; Zubizarreta, Jos R. ; Yang, Fan ; Small, Dylan S.. In: The American Statistician. RePEc:taf:amstat:v:68:y:2014:i:4:p:253-263.

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11
262013Closed Likelihood Ratio Testing Procedures to Assess Similarity of Covariance Matrices. (2013). Punzo, Antonio ; Greselin, Francesca. In: The American Statistician. RePEc:taf:amstat:v:67:y:2013:i:3:p:117-128.

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10
272019The p-Value Requires Context, Not a Threshold. (2019). Betensky, Rebecca A. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:115-117.

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10
282012A Default Bayesian Hypothesis Test for ANOVA Designs. (2012). Wetzels, Ruud ; Raoul P. P. P. Grasman, ; Wagenmakers, Eric-Jan. In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:2:p:104-111.

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10
292016Mean, What do You Mean?. (2016). de Carvalho, Miguel. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:3:p:270-274.

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10
302015Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up. (2015). Cobb, George. In: The American Statistician. RePEc:taf:amstat:v:69:y:2015:i:4:p:266-282.

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10
312017An Empirical Comparison of Multiple Imputation Methods for Categorical Data. (2017). Akande, Olanrewaju ; Reiter, Jerome ; Li, Fan. In: The American Statistician. RePEc:taf:amstat:v:71:y:2017:i:2:p:162-170.

Full description at Econpapers || Download paper

9
322022Demystifying Statistical Learning Based on Efficient Influence Functions. (2022). Vansteelandt, Stijn ; Hines, Oliver ; Dukes, Oliver ; Diaz-Ordaz, Karla. In: The American Statistician. RePEc:taf:amstat:v:76:y:2022:i:3:p:292-304.

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9
332019Demystifying the Integrated Tail Probability Expectation Formula. (2019). Lo, Ambrose. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:4:p:367-374.

Full description at Econpapers || Download paper

8
342022Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ. (2022). Zhan, Zhuozhao ; van den Heuvel, Edwin. In: The American Statistician. RePEc:taf:amstat:v:76:y:2022:i:1:p:44-52.

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8
352016The Advantages of Using Group Means in Estimating the Lorenz Curve and Gini Index From Grouped Data. (2016). Lyon, Merritt ; Gastwirth, Joseph L. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:1:p:25-32.

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8
362019The False Positive Risk: A Proposal Concerning What to Do About p-Values. (2019). Colquhoun, David. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:192-201.

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8
372019The Role of Expert Judgment in Statistical Inference and Evidence-Based Decision-Making. (2019). Louis, Thomas A ; Brownstein, Naomi C ; Pendergast, Jane ; Ohagan, Anthony. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:56-68.

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8
382012On the Interrelation Between the Sample Mean and the Sample Variance. (2012). Sen, Ananda. In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:2:p:112-117.

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7
392019Why is Getting Rid of P-Values So Hard? Musings on Science and Statistics. (2019). Goodman, Steven N. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:26-30.

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7
402018The Wilcoxon–Mann–Whitney Procedure Fails as a Test of Medians. (2018). Norton, James H ; Divine, George W ; Juarez-Colunga, Elizabeth ; Baron, Anna E. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:3:p:278-286.

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7
412013Not Only Defended But Also Applied: The Perceived Absurdity of Bayesian Inference. (2013). Robert, Christian P. ; Gelman, Andrew. In: The American Statistician. RePEc:taf:amstat:v:67:y:2013:i:1:p:1-5.

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7
422013Applications of Multiple Systems Estimation in Human Rights Research. (2013). Price, Megan Emily ; Lum, Kristian ; Banks, David. In: The American Statistician. RePEc:taf:amstat:v:67:y:2013:i:4:p:191-200.

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7
432016k -POD: A Method for k -Means Clustering of Missing Data. (2016). Baraniuk, Richard G ; Chi, Jocelyn T. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:1:p:91-99.

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7
442014The Promise of Prediction Contests. (2014). Grushka-Cockayne, Yael ; Pfeifer, Phillip E. ; Lichtendahl, Kenneth C.. In: The American Statistician. RePEc:taf:amstat:v:68:y:2014:i:4:p:264-270.

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7
452013Simulation-Based Confidence Intervals for Functions With Complicated Derivatives. (2013). Mandel, Micha. In: The American Statistician. RePEc:taf:amstat:v:67:y:2013:i:2:p:76-81.

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7
462012Histogram-Based Interpolation of the Lorenz Curve and Gini Index for Grouped Data. (2012). Tillé, Yves ; Langel, Matti . In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:4:p:225-231.

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7
472016How the Maximal Evidence of -Values Against Point Null Hypotheses Depends on Sample Size. (2016). Ott, Manuela ; Held, Leonhard. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:4:p:335-341.

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6
482015Data Science in Statistics Curricula: Preparing Students to “Think with Data”. (2015). Horton, Nicholas ; Hall-Holt, O ; Ward, M D ; Hardin, J ; Nolan, D ; Baumer, B ; Lang, Temple D ; Peng, R ; Hoerl, R ; Roback, P ; Murrell, P. In: The American Statistician. RePEc:taf:amstat:v:69:y:2015:i:4:p:343-353.

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6
492017Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations. (2017). Ye, Zhi-Sheng ; Chen, Nan. In: The American Statistician. RePEc:taf:amstat:v:71:y:2017:i:2:p:177-181.

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6
502019Large-Scale Replication Projects in Contemporary Psychological Research. (2019). Bockenholt, Ulf ; Tackett, Jennifer L ; McShane, Blakeley B ; Gelman, Andrew. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:99-105.

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6
50 most relevant documents in this series (papers most cited in the last two years)
#YearTitleCited
12018Forecasting at Scale. (2018). Taylor, Sean J ; Letham, Benjamin. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:1:p:37-45.

Full description at Econpapers || Download paper

79
22016The ASAs Statement on p -Values: Context, Process, and Purpose. (2016). Wasserstein, Ronald L ; Lazar, Nicole A. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:2:p:129-133.

Full description at Econpapers || Download paper

38
32019Moving to a World Beyond “p. (2019). Wasserstein, Ronald L ; Lazar, Nicole A ; Schirm, Allen L. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:1-19.

Full description at Econpapers || Download paper

31
42019R-squared for Bayesian Regression Models. (2019). Gabry, Jonah ; Goodrich, Ben ; Gelman, Andrew ; Vehtari, Aki. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:3:p:307-309.

Full description at Econpapers || Download paper

16
52019Abandon Statistical Significance. (2019). Tackett, Jennifer L ; Gal, David ; Robert, Christian ; McShane, Blakeley B ; Gelman, Andrew. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:235-245.

Full description at Econpapers || Download paper

14
62019The Perils of Balance Testing in Experimental Design: Messy Analyses of Clean Data. (2019). Pemantle, Robin ; Pham, Philip ; Mutz, Diana C. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:1:p:32-42.

Full description at Econpapers || Download paper

13
72019Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication. (2019). Amrhein, Valentin ; Greenland, Sander ; Trafimow, David. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:262-270.

Full description at Econpapers || Download paper

11
82019Treatment Choice With Trial Data: Statistical Decision Theory Should Supplant Hypothesis Testing. (2019). Manski, Charles. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:296-304.

Full description at Econpapers || Download paper

10
92014Comment: Understanding Simpsons Paradox. (2014). Pearl, Judea. In: The American Statistician. RePEc:taf:amstat:v:68:y:2014:i:1:p:8-13.

Full description at Econpapers || Download paper

8
102019Valid P-Values Behave Exactly as They Should: Some Misleading Criticisms of P-Values and Their Resolution With S-Values. (2019). Greenland, Sander. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:106-114.

Full description at Econpapers || Download paper

8
112018Optimal Whitening and Decorrelation. (2018). Strimmer, Korbinian ; Lewin, Alex ; Kessy, Agnan. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:4:p:309-314.

Full description at Econpapers || Download paper

8
122019Three Recommendations for Improving the Use of p-Values. (2019). Benjamin, Daniel ; Berger, James O. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:186-191.

Full description at Econpapers || Download paper

7
132022Demystifying Statistical Learning Based on Efficient Influence Functions. (2022). Vansteelandt, Stijn ; Hines, Oliver ; Dukes, Oliver ; Diaz-Ordaz, Karla. In: The American Statistician. RePEc:taf:amstat:v:76:y:2022:i:3:p:292-304.

Full description at Econpapers || Download paper

7
142016Understanding the Ensemble Kalman Filter. (2016). Katzfuss, Matthias ; Stroud, Jonathan R ; Wikle, Christopher K. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:4:p:350-357.

Full description at Econpapers || Download paper

7
152022Myths About Linear and Monotonic Associations: Pearson’s r, Spearman’s ρ, and Kendall’s τ. (2022). Zhan, Zhuozhao ; van den Heuvel, Edwin. In: The American Statistician. RePEc:taf:amstat:v:76:y:2022:i:1:p:44-52.

Full description at Econpapers || Download paper

7
162012Measurement Error and the Hot Hand. (2012). Stone, Daniel. In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:1:p:61-66.

Full description at Econpapers || Download paper

6
172016On the Conditional Distribution of the Multivariate Distribution. (2016). Ding, Peng. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:3:p:293-295.

Full description at Econpapers || Download paper

6
182015What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics Curriculum. (2015). Hesterberg, Tim C. In: The American Statistician. RePEc:taf:amstat:v:69:y:2015:i:4:p:371-386.

Full description at Econpapers || Download paper

6
192016Visualizing Count Data Regressions Using Rootograms. (2016). Zeileis, Achim ; Kleiber, Christian. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:3:p:296-303.

Full description at Econpapers || Download paper

6
202014Kurtosis as Peakedness, 1905-2014. R.I.P.. (2014). Westfall, Peter H.. In: The American Statistician. RePEc:taf:amstat:v:68:y:2014:i:3:p:191-195.

Full description at Econpapers || Download paper

6
212016k -POD: A Method for k -Means Clustering of Missing Data. (2016). Baraniuk, Richard G ; Chi, Jocelyn T. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:1:p:91-99.

Full description at Econpapers || Download paper

6
222018Structural Equation Models for Dealing With Spatial Confounding. (2018). Kneib, Thomas ; Thaden, Hauke. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:3:p:239-252.

Full description at Econpapers || Download paper

6
232019The p-value Function and Statistical Inference. (2019). D. A. S. Fraser, . In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:135-147.

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5
242019Trial Size for Near-Optimal Choice Between Surveillance and Aggressive Treatment: Reconsidering MSLT-II. (2019). Tetenov, Aleksey ; Manski, Charles. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:305-311.

Full description at Econpapers || Download paper

5
252021Response to Letter to the Editor: Zhang, J. (2021). (2021). Zhang, Jin. In: The American Statistician. RePEc:taf:amstat:v:75:y:2021:i:4:p:458-458.

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4
262019Demystifying the Integrated Tail Probability Expectation Formula. (2019). Lo, Ambrose. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:4:p:367-374.

Full description at Econpapers || Download paper

4
272017An Empirical Comparison of Multiple Imputation Methods for Categorical Data. (2017). Akande, Olanrewaju ; Reiter, Jerome ; Li, Fan. In: The American Statistician. RePEc:taf:amstat:v:71:y:2017:i:2:p:162-170.

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4
282021Visually Communicating and Teaching Intuition for Influence Functions. (2021). Kennedy, Edward H ; Fisher, Aaron. In: The American Statistician. RePEc:taf:amstat:v:75:y:2021:i:2:p:162-172.

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4
292016How the Maximal Evidence of -Values Against Point Null Hypotheses Depends on Sample Size. (2016). Ott, Manuela ; Held, Leonhard. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:4:p:335-341.

Full description at Econpapers || Download paper

4
302023The State of Play of Reproducibility in Statistics: An Empirical Analysis. (2023). Xiong, Xin ; Cribben, Ivor. In: The American Statistician. RePEc:taf:amstat:v:77:y:2023:i:2:p:115-126.

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4
312018The Wilcoxon–Mann–Whitney Procedure Fails as a Test of Medians. (2018). Norton, James H ; Divine, George W ; Juarez-Colunga, Elizabeth ; Baron, Anna E. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:3:p:278-286.

Full description at Econpapers || Download paper

4
322021A Review of Bayesian Perspectives on Sample Size Derivation for Confirmatory Trials. (2021). Lee, Kim May ; Kunzmann, Kevin ; Rufibach, Kaspar ; Robertson, David S ; Grayling, Michael J. In: The American Statistician. RePEc:taf:amstat:v:75:y:2021:i:4:p:424-432.

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4
332022A Survey of Bias in Machine Learning Through the Prism of Statistical Parity. (2022). Besse, Philippe ; Gordaliza, Paula ; Risser, Laurent ; Loubes, Jean-Michel ; del Barrio, Eustasio. In: The American Statistician. RePEc:taf:amstat:v:76:y:2022:i:2:p:188-198.

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342017A Coefficient of Determination for Generalized Linear Models. (2017). Zhang, Dabao. In: The American Statistician. RePEc:taf:amstat:v:71:y:2017:i:4:p:310-316.

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352017Closed-Form Estimators for the Gamma Distribution Derived From Likelihood Equations. (2017). Ye, Zhi-Sheng ; Chen, Nan. In: The American Statistician. RePEc:taf:amstat:v:71:y:2017:i:2:p:177-181.

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362016Mean, What do You Mean?. (2016). de Carvalho, Miguel. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:3:p:270-274.

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372019Bias Reduction in Logistic Regression with Missing Responses When the Missing Data Mechanism is Nonignorable. (2019). Pradhan, Vivek ; Das, Ujjwal ; Maity, Arnab Kumar. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:4:p:340-349.

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382020Big Data? Statistical Process Control Can Help!. (2020). Qiu, Peihua. In: The American Statistician. RePEc:taf:amstat:v:74:y:2020:i:4:p:329-344.

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392021Making Recursive Bayesian Inference Accessible. (2021). Hooten, Mevin B ; Johnson, Devin S ; Brost, Brian M. In: The American Statistician. RePEc:taf:amstat:v:75:y:2021:i:2:p:185-194.

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402021Learning Hamiltonian Monte Carlo in R. (2021). Tu, Wanzhu ; Thomas, Samuel. In: The American Statistician. RePEc:taf:amstat:v:75:y:2021:i:4:p:403-413.

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412019The p-Value Requires Context, Not a Threshold. (2019). Betensky, Rebecca A. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:115-117.

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422014Dissonant Conclusions When Testing the Validity of an Instrumental Variable. (2014). Lorch, Scott ; Rosenbaum, Paul R. ; Zubizarreta, Jos R. ; Yang, Fan ; Small, Dylan S.. In: The American Statistician. RePEc:taf:amstat:v:68:y:2014:i:4:p:253-263.

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432021Null Hypothesis Significance Testing Defended and Calibrated by Bayesian Model Checking. (2021). Bickel, David R. In: The American Statistician. RePEc:taf:amstat:v:75:y:2021:i:3:p:249-255.

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442023Coherent Tests for Interval Null Hypotheses. (2023). Hansen, Spencer ; Rice, Ken. In: The American Statistician. RePEc:taf:amstat:v:77:y:2023:i:1:p:20-28.

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452013The Mean Value Theorem and Taylors Expansion in Statistics. (2013). Han, YU ; Xia, Yinglin ; Tu, Xin M. ; Wang, Hongyue ; Feng, Changyong. In: The American Statistician. RePEc:taf:amstat:v:67:y:2013:i:4:p:245-248.

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462018Modeling Offensive Player Movement in Professional Basketball. (2018). Wu, Steven ; Bornn, Luke. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:1:p:72-79.

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472019Why is Getting Rid of P-Values So Hard? Musings on Science and Statistics. (2019). Goodman, Steven N. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:26-30.

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482019Why are p-Values Controversial?. (2019). Kuffner, Todd A ; Walker, Stephen G. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:1:p:1-3.

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492014The Promise of Prediction Contests. (2014). Grushka-Cockayne, Yael ; Pfeifer, Phillip E. ; Lichtendahl, Kenneth C.. In: The American Statistician. RePEc:taf:amstat:v:68:y:2014:i:4:p:264-270.

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502015Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up. (2015). Cobb, George. In: The American Statistician. RePEc:taf:amstat:v:69:y:2015:i:4:p:266-282.

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Citing documents used to compute impact factor: 18
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2024Quarto the Assassin. (2024). Racine, Jeffrey. In: Department of Economics Working Papers. RePEc:mcm:deptwp:2024-11.

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2024Identification of structural shocks in Bayesian VEC models with two-state Markov-switching heteroskedasticity. (2024). Kwiatkowski, Lukasz ; Wr, Justyna. In: Papers. RePEc:arx:papers:2406.03053.

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2024Mathematical optimization modelling for group counterfactual explanations. (2024). Ramirez-Ayerbe, Jasone ; Carrizosa, Emilio ; Morales, Dolores Romero. In: European Journal of Operational Research. RePEc:eee:ejores:v:319:y:2024:i:2:p:399-412.

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2024Reproducibility in Management Science. (2024). Ozkes, Ali ; Merkle, Christoph ; Huber, Christoph ; Greiner, Ben ; Fišar, Miloš ; Fiar, Milo ; Katok, Elena. In: Post-Print. RePEc:hal:journl:hal-04370984.

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2024High-Dimensional Mean-Variance Spanning Tests. (2024). Ardia, David ; Laurent, S'Ebastien ; Sessinou, Rosnel. In: Papers. RePEc:arx:papers:2403.17127.

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2024Adaptive rank-based tests for high dimensional mean problems. (2024). Zhang, YU ; Feng, Long. In: Statistics & Probability Letters. RePEc:eee:stapro:v:214:y:2024:i:c:s0167715224001950.

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2024The distribution of power-related random variables (and their use in clinical trials). (2024). Gubbiotti, Stefania ; de Santis, Fulvio ; Mariani, Francesco. In: Statistical Papers. RePEc:spr:stpapr:v:65:y:2024:i:9:d:10.1007_s00362-024-01599-1.

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2024Classical p-values and the Bayesian posterior probability that the hypothesis is approximately true. (2024). Kline, Brendan. In: Journal of Econometrics. RePEc:eee:econom:v:240:y:2024:i:1:s030440762400023x.

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2024On the impact of preferential sampling on ecological status and trend assessment. (2024). Aubry, Philippe ; Guillemain, Matthieu ; Francesiaz, Charlotte. In: Ecological Modelling. RePEc:eee:ecomod:v:492:y:2024:i:c:s0304380024000954.

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2024Elastic functional changepoint detection of climate impacts from localized sources. (2024). Yarger, Drew ; Tucker, Derek J. In: Environmetrics. RePEc:wly:envmet:v:35:y:2024:i:1:n:e2826.

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2024Anytime-Valid Inference for Double/Debiased Machine Learning of Causal Parameters. (2024). Kasiviswanathan, Shiva ; Blobaum, Patrick ; Dalal, Abhinandan ; Ramdas, Aaditya. In: Papers. RePEc:arx:papers:2408.09598.

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2024Treatment Evaluation at the Intensive and Extensive Margins. (2024). Veliyev, Bezirgen ; Heiler, Phillip ; Kaufmann, Asbjorn. In: Papers. RePEc:arx:papers:2412.11179.

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2024Estimation of treatment effect among treatment responders with a time‐to‐event endpoint. (2024). Nordland, Andreas ; Martinussen, Torben. In: Scandinavian Journal of Statistics. RePEc:bla:scjsta:v:51:y:2024:i:3:p:1161-1180.

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2024Shifting Cryptocurrency Influence: A High-Resolution Network Analysis of Market Leaders. (2024). Chava, Sudheer ; Hiray, Arnav ; Shah, Agam. In: Papers. RePEc:arx:papers:2307.16874.

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2024Effect of Soil Moisture Content on Condensation Water in Typical Loess and Sandy Soil. (2024). Jia, Zhifeng ; Ren, Yuze ; Zhao, Lingke ; Li, GE ; Jin, Cheng. In: Land. RePEc:gam:jlands:v:13:y:2024:i:7:p:934-:d:1423619.

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2024A hybrid approach integrating case mining (CM) and the Copula Bayesian Network (CBN) for accident causation probabilistic reasoning of building construction collapses. (2024). Zheng, Xiazhong ; Nie, Benwu ; Jin, Lianghai ; Wang, Jie ; Chen, Yun. In: Reliability Engineering and System Safety. RePEc:eee:reensy:v:252:y:2024:i:c:s0951832024005416.

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2024The p-value interpreted as the posterior probability of explaining the data: Applications to multiple testing and to restricted parameter spaces. (2024). Bickel, David R. In: Sankhya A: The Indian Journal of Statistics. RePEc:spr:sankha:v:86:y:2024:i:1:d:10.1007_s13171-023-00328-4.

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2024Bayesian and frequentist inference derived from the maximum entropy principle with applications to propagating uncertainty about statistical methods. (2024). Bickel, David R. In: Statistical Papers. RePEc:spr:stpapr:v:65:y:2024:i:8:d:10.1007_s00362-024-01597-3.

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Recent citations
Recent citations received in 2024

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2024Max-convolution processes with random shape indicator kernels. (2024). Huser, Raphael ; Krupskii, Pavel. In: Journal of Multivariate Analysis. RePEc:eee:jmvana:v:203:y:2024:i:c:s0047259x24000472.

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2024Artificial Neural Network-Based Data-Driven Parameter Estimation Approach: Applications in PMDC Motors. (2024). Lee, Seung Won ; Zafar, Amad ; Ali, Muhammad Umair ; Akram, Tallha ; Ahmad, Sadiq ; Ul, Faheem. In: Mathematics. RePEc:gam:jmathe:v:12:y:2024:i:21:p:3407-:d:1511247.

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2024Mapping the structure-function relationship along macroscale gradients in the human brain. (2024). Zaveri, Hitten P ; McGrath, Hari ; Collins, Evan ; Spencer, Dennis D ; King, Alex ; Shen, Xilin ; Papademetris, Xenophon ; Constable, Todd R ; Obaid, Sami ; Chishti, Omar ; Arora, Jagriti. In: Nature Communications. RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-51395-6.

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2024Bayes Estimator Under Neutrosophic Statistics: A Robust Approach for Handling Uncertainty and Imprecise Data. (2024). Aslam, Muhammad. In: Methodology and Computing in Applied Probability. RePEc:spr:metcap:v:26:y:2024:i:4:d:10.1007_s11009-024-10126-6.

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Recent citations received in 2023

YearCiting document
2023Divergence versus decision P‐values: A distinction worth making in theory and keeping in practice: Or, how divergence P‐values measure evidence even when decision P‐values do not. (2023). Greenland, Sander. In: Scandinavian Journal of Statistics. RePEc:bla:scjsta:v:50:y:2023:i:1:p:54-88.

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2023Discussion of “Divergence vs. Decision P$$ P $$‐values: A Distinction Worth Making in Theory and Keeping in Practice – or, How Divergence P$$ P $$‐values Measure Evidence Even When Decision P$$ P $$‐values Do Not” by Sander Greenland. (2023). Rice, Kenneth. In: Scandinavian Journal of Statistics. RePEc:bla:scjsta:v:50:y:2023:i:3:p:931-933.

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2023Reproducibility in Management Science. (2023). Ozkes, Ali ; Huber, Christoph ; Greiner, Ben ; Fišar, Miloš ; Bao, Te ; Fiar, Milo ; Reproducibility, Management Science ; Katok, Elena. In: OSF Preprints. RePEc:osf:osfxxx:mydzv.

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2023Reproducibility in Management Science. (2023). Ozkes, Ali ; Huber, Christoph ; Greiner, Ben ; Katok, Elena ; Fiar, Milo ; Reproducibility, Management Science. In: OSF Preprints. RePEc:osf:osfxxx:mydzv_v1.

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2023Reproducibility in Management Science. (2023). Ozkes, Ali ; Huber, Christoph ; Greiner, Ben ; Fišar, Miloš ; Bao, Te ; Reproducibility, Management Science ; Katok, Elena ; Fiar, Milo. In: Department for Strategy and Innovation Working Paper Series. RePEc:wiw:wus055:57814527.

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Recent citations received in 2022

YearCiting document
2022The role of the geometric mean in case-control studies. (2022). Kennedy, Edward H ; Coston, Amanda. In: Papers. RePEc:arx:papers:2207.09016.

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2022What Estimators Are Unbiased For Linear Models?. (2022). Wooldridge, Jeffrey ; Lei, Lihua. In: Papers. RePEc:arx:papers:2212.14185.

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2022A statistical test to reject the structural interpretation of a latent factor model. (2022). Vanderweele, Tyler J ; Vansteelandt, Stijn. In: Journal of the Royal Statistical Society Series B. RePEc:bla:jorssb:v:84:y:2022:i:5:p:2032-2054.

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2022Correlation analysis and prediction of PEM fuel cell voltage during start-stop operation based on real-world driving data. (2022). Peng, Yiqiang ; Xu, Xiaohui ; Huang, Ruike ; Deng, Pengyi ; Yang, Jibin. In: Energy. RePEc:eee:energy:v:260:y:2022:i:c:s036054422201831x.

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2022Canonical Concordance Correlation Analysis. (2022). Lipovetsky, Stan. In: Mathematics. RePEc:gam:jmathe:v:11:y:2022:i:1:p:99-:d:1015387.

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2022A Modern Gauss-Markov Theorem? Really?. (2022). Pötscher, Benedikt ; Preinerstorfer, David ; Potscher, Benedikt M. In: MPRA Paper. RePEc:pra:mprapa:112607.

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Recent citations received in 2021

YearCiting document
2021Entropy balancing as an estimation command. (2021). Jann, Ben. In: University of Bern Social Sciences Working Papers. RePEc:bss:wpaper:39.

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2021Cyberbullying Analysis in Intercultural Educational Environments Using Binary Logistic Regressions. (2021). Tome-Fernandez, Maria ; Ortiz-Marcos, Jose Manuel ; Fernandez-Leyva, Christian. In: Future Internet. RePEc:gam:jftint:v:13:y:2021:i:1:p:15-:d:477691.

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2021Decisions in Risk and Reliability: An Explanatory Perspective. (2021). Wilson, Simon ; Soyer, Refik ; Ruggeri, Fabrizio ; Pievatolo, Antonio. In: Stats. RePEc:gam:jstats:v:4:y:2021:i:2:p:17-250:d:524624.

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2021The capitalization of school quality in rents in the Beijing housing market: A propensity score method. (2021). Song, Zisheng. In: Working Paper Series. RePEc:hhs:kthrec:2021_007.

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2021The Effects of Reforming a Federal Employment Agency on Labor Demand. (2021). Kraft, Kornelius ; Lammers, Alexander. In: IZA Discussion Papers. RePEc:iza:izadps:dp14629.

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2021Data-driven Covariate Selection for Confounding Adjustment by Focusing on the Stability of the Effect Estimator. (2021). Loh, Wen Wei ; Ren, Dongning. In: OSF Preprints. RePEc:osf:osfxxx:yve6u.

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2021Data-driven Covariate Selection for Confounding Adjustment by Focusing on the Stability of the Effect Estimator. (2021). Ren, Dongning ; Loh, Wen Wei. In: OSF Preprints. RePEc:osf:osfxxx:yve6u_v1.

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