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Citation Profile [Updated: 2026-05-04 07:00:09]
5 Years H Index
17
Impact Factor (IF)
0.09
5 Years IF
0.1
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 30 104 1 0 0 0 0 0.21
2013 0.13 0.54 0.07 0.13 43 73 65 5 6 30 4 30 4 0 1 0.02 0.23
2014 0.18 0.53 0.11 0.18 56 129 116 14 20 73 13 73 13 4 28.6 1 0.02 0.22
2015 0.14 0.52 0.15 0.18 58 187 85 28 48 99 14 129 23 3 10.7 2 0.03 0.22
2016 0.17 0.5 0.17 0.19 60 247 295 43 91 114 19 187 36 2 4.7 6 0.1 0.2
2017 0.26 0.51 0.21 0.19 63 310 56 63 155 118 31 247 47 23 36.5 2 0.03 0.2
2018 0.26 0.52 0.23 0.22 57 367 240 84 240 123 32 280 62 8 9.5 5 0.09 0.22
2019 0.14 0.53 0.24 0.25 109 476 361 113 353 120 17 294 74 0 26 0.24 0.21
2020 0.47 0.63 0.34 0.37 70 546 37 186 539 166 78 347 129 0 3 0.04 0.3
2021 0.37 0.73 0.34 0.38 59 605 48 208 747 179 66 359 135 0 7 0.12 0.27
2022 0.12 0.72 0.32 0.35 63 668 42 216 963 129 16 358 125 0 6 0.1 0.22
2023 0.21 0.67 0.29 0.34 60 728 17 211 1174 122 26 358 123 0 5 0.08 0.19
2024 0.16 0.73 0.27 0.26 57 785 16 211 1385 123 20 361 93 0 4 0.07 0.22
2025 0.09 0.96 0.22 0.1 59 844 3 183 1568 117 11 309 32 0 0 0.28
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

155
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

146
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

84
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

40
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.

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31
72012Measurement Error and the Hot Hand. (2012). Stone, Daniel. In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:1:p:61-66.

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29
82014Kurtosis 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
92019The 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.

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27
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.

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25
112014Comment: 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
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

22
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.

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20
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.

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18
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.

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16
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.

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16
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.

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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
222019Assessing 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
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
242014Dissonant 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
252019Trial 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
262022Demystifying 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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11
272016Mean, 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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11
282013Closed 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
292017Closed-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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10
302012A 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
312015Mere 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
322019The 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
332019The 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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9
342017An 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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9
352022Myths 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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9
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
372019Demystifying 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.

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8
382016The 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
392012On 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
402013Not 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
412013Applications 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
422018The 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
432014The 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
442013Simulation-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
452012Hidden Dangers of Specifying Noninformative Priors. (2012). Stamey, James ; Seaman, John W.. In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:2:p:77-84.

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7
462019Why 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
472016k -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
482019Large-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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7
492012Histogram-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
502012Estimating the Correlation in Bivariate Normal Data With Known Variances and Small Sample Sizes. (2012). Fosdick, Bailey K. ; Raftery, Adrian E.. In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:1:p:34-41.

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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

68
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

36
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
42019The 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
52019R-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

9
62019Abandon 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

9
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

8
82022Demystifying 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
92019Three 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
102022Myths 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
112014Comment: 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

7
122015What 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
132018Structural 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

5
142018Optimal 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

5
152016On 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

4
162016Visualizing 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.

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4
172024Out-of-Sample R2: Estimation and Inference. (2024). Waegeman, Willem ; Hawinkel, Stijn ; Maere, Steven. In: The American Statistician. RePEc:taf:amstat:v:78:y:2024:i:1:p:15-25.

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4
182019Treatment 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

4
192017Closed-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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4
202021Visually 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
212019Bias 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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3
222019Valid 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.

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3
232022A 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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3
242016How 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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3
252024Likelihood-Free Parameter Estimation with Neural Bayes Estimators. (2024). Huser, Raphael ; Sainsbury-Dale, Matthew ; Zammit-Mangion, Andrew. In: The American Statistician. RePEc:taf:amstat:v:78:y:2024:i:1:p:1-14.

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3
262016Mean, 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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3
272019The 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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3
282014Kurtosis 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

3
292013The 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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3
302019The 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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3
312020Big 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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3
322017An 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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3
332021Learning 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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342016k -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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352021A 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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362019The 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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372019Demystifying 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.

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382016Understanding 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.

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392015Data 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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402016How Robust Are Multirater Interrater Reliability Indices to Changes in Frequency Distribution?. (2016). Levine, Richard A ; Quarfoot, David. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:4:p:373-384.

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412018A Simple and Effective Inequality Measure. (2018). Staudte, Robert G ; Prendergast, Luke A. In: The American Statistician. RePEc:taf:amstat:v:72:y:2018:i:4:p:328-343.

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422016Sojourning With the Homogeneous Poisson Process. (2016). Liu, Piaomu ; Pea, Edsel A. In: The American Statistician. RePEc:taf:amstat:v:70:y:2016:i:4:p:413-423.

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432013Bayesian Multimodel Inference by RJMCMC: A Gibbs Sampling Approach. (2013). Link, William A. ; Barker, Richard J.. In: The American Statistician. RePEc:taf:amstat:v:67:y:2013:i:3:p:150-156.

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442012Measurement Error and the Hot Hand. (2012). Stone, Daniel. In: The American Statistician. RePEc:taf:amstat:v:66:y:2012:i:1:p:61-66.

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452024On Misuses of the Kolmogorov–Smirnov Test for One-Sample Goodness-of-Fit. (2024). Yan, Jun ; Schifano, Elizabeth D ; Zeimbekakis, Anthony. In: The American Statistician. RePEc:taf:amstat:v:78:y:2024:i:4:p:481-487.

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462023Quantifying the Inspection Paradox with Random Time. (2023). Kamps, Udo ; Rauwolf, Diana. In: The American Statistician. RePEc:taf:amstat:v:77:y:2023:i:3:p:274-282.

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472019The New Statistics for Better Science: Ask How Much, How Uncertain, and What Else Is Known. (2019). Calin-Jageman, Robert J ; Cumming, Geoff. In: The American Statistician. RePEc:taf:amstat:v:73:y:2019:i:s1:p:271-280.

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482019Trial 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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492023Estimating Knee Movement Patterns of Recreational Runners Across Training Sessions Using Multilevel Functional Regression Models. (2023). Riazati, Sherveen ; Hayes, Philip R ; Caplan, Nick ; Karas, Marta ; Matabuena, Marcos. In: The American Statistician. RePEc:taf:amstat:v:77:y:2023:i:2:p:169-181.

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502016The 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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Citing documents used to compute impact factor: 11
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2025ARMA-Design: Optimal Treatment Allocation Strategies for A/B Testing in Partially Observable Time Series Experiments. (2025). Kong, Linglong ; Sun, KE ; Zhu, Hongtu ; Shi, Chengchun. In: Papers. RePEc:arx:papers:2408.05342.

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2025ChromatinHD connects single-cell DNA accessibility and conformation to gene expression through scale-adaptive machine learning. (2025). Pushkarev, Olga ; Deplancke, Bart ; Saelens, Wouter. In: Nature Communications. RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55447-9.

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2025Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting. (2025). Hirsch, Simon. In: Papers. RePEc:arx:papers:2504.02518.

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2025The evolution of stigmas facing Chinese MNEs abroad: From latecomer stigma to geopolitical stigma. (2025). Liu, Haijian ; Zhou, Fengkai ; Prudhomme, Dan. In: International Business Review. RePEc:eee:iburev:v:34:y:2025:i:6:s0969593125000691.

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2025Towards black-box parameter estimation. (2025). Rue, Haavard ; Lenzi, Amanda. In: Computational Statistics. RePEc:spr:compst:v:40:y:2025:i:8:d:10.1007_s00180-025-01623-4.

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2025Impact of intelligent learning assistants on creativity of university students: a self-determination theory perspective. (2025). Ab, Azira ; Singh, Harman Preet. In: Future Business Journal. RePEc:spr:futbus:v:11:y:2025:i:1:d:10.1186_s43093-025-00544-4.

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2025On the Moments of the Nonnegative Adjusted Estimator of Squared Multiple Correlation. (2025). Nawa, Victor ; Nadarajah, Saralees. In: Sankhya A: The Indian Journal of Statistics. RePEc:spr:sankha:v:87:y:2025:i:2:d:10.1007_s13171-025-00407-8.

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2025Analysing kinematic data from recreational runners using functional data analysis. (2025). Simpkin, Andrew J ; Burke, Aoife ; Moran, Kieran ; Gore, Shane ; Dillon, Sarah ; Oconnor, Siobhan ; White, Enda ; Bargary, Norma ; Gunning, Edward ; Golovkine, Steven. In: Computational Statistics. RePEc:spr:compst:v:40:y:2025:i:4:d:10.1007_s00180-024-01591-1.

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2025Functional time transformation model with applications to digital health. (2025). Ghosal, Rahul ; Ghosh, Sujit K ; Matabuena, Marcos. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:207:y:2025:i:c:s0167947325000076.

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2025On estimation of a partitioned covariance matrix with linearly structured blocks. (2025). Filipiak, Katarzyna ; Mieldzioc, Adam ; Markiewicz, Augustyn ; Mrowiska, Malwina. In: Statistical Papers. RePEc:spr:stpapr:v:66:y:2025:i:4:d:10.1007_s00362-025-01718-6.

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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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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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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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