Andrea Rotnitzky : Citation Profile


Are you Andrea Rotnitzky?

Universidad Torcuato Di Tella

10

H index

11

i10 index

244

Citations

RESEARCH PRODUCTION:

29

Articles

RESEARCH ACTIVITY:

   26 years (1996 - 2022). See details.
   Cites by year: 9
   Journals where Andrea Rotnitzky has often published
   Relations with other researchers
   Recent citing documents: 38.    Total self citations: 3 (1.21 %)

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   Permalink: http://citec.repec.org/pro788
   Updated: 2024-11-04    RAS profile: 2023-07-08    
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Relations with other researchers


Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Andrea Rotnitzky.

Is cited by:

Windmeijer, Frank (5)

Oka, Tatsushi (4)

Huber, Martin (3)

Lee, Sokbae (Simon) (3)

Jun, Sung Jae (3)

Frölich, Markus (2)

Henderson, R (2)

Lamiraud, Karine (2)

GAO, Jiti (2)

Hoshino, Takahiro (2)

Chernozhukov, Victor (2)

Cites to:

Abadie, Alberto (1)

Hansen, Lars (1)

Newey, Whitney (1)

Main data


Where Andrea Rotnitzky has published?


Journals with more than one article published# docs
Biometrika8
Biometrics6
Journal of the American Statistical Association3
Journal of the Royal Statistical Society Series B3
American Journal of Public Health2
Journal of the American Statistical Association2
The International Journal of Biostatistics2

Recent works citing Andrea Rotnitzky (2024 and 2023)


YearTitle of citing document
2023Causal Inference in Case-Control Studies. (2020). Lee, Sokbae ; Jun, Sung Jae. In: Papers. RePEc:arx:papers:2004.08318.

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2023Stochastic Treatment Recommendation with Deep Survival Dose Response Function (DeepSDRF). (2021). Gallego, Blanca ; Zhu, Jie. In: Papers. RePEc:arx:papers:2108.10453.

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2023High-dimensional Inference for Dynamic Treatment Effects. (2021). Zhang, Yuqian ; Ji, Weijie ; Bradic, Jelena. In: Papers. RePEc:arx:papers:2110.04924.

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2023Dynamic treatment effects: high-dimensional inference under model misspecification. (2021). Bradic, Jelena ; Ji, Weijie ; Zhang, Yuqian. In: Papers. RePEc:arx:papers:2111.06818.

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2024A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects. (2021). Singh, Rahul. In: Papers. RePEc:arx:papers:2112.14249.

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2023Automatic Debiased Machine Learning for Dynamic Treatment Effects. (2022). Syrgkanis, Vasilis ; Singh, Rahul ; Newey, Whitney ; Chernozhukov, Victor. In: Papers. RePEc:arx:papers:2203.13887.

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2023Average Adjusted Association: Efficient Estimation with High Dimensional Confounders. (2022). Lee, Sokbae ; Jun, Sung Jae. In: Papers. RePEc:arx:papers:2205.14048.

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2024Semiparametric Single-Index Estimation for Average Treatment Effects. (2022). Oka, Tatsushi ; Gao, Jiti ; Huang, Difang. In: Papers. RePEc:arx:papers:2206.08503.

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2024Double Robust Bayesian Inference on Average Treatment Effects. (2022). Yu, Zhengfei ; Liu, Ruixuan ; Breunig, Christoph. In: Papers. RePEc:arx:papers:2211.16298.

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2023New $\sqrt{n}$-consistent, numerically stable higher-order influence function estimators. (2023). Li, Chang ; Liu, Lin. In: Papers. RePEc:arx:papers:2302.08097.

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2024Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation. (2024). Syrgkanis, Vasilis ; Jin, Jikai. In: Papers. RePEc:arx:papers:2402.14264.

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2023Outcome†adaptive lasso: Variable selection for causal inference. (2017). Shortreed, Susan M ; Ertefaie, Ashkan. In: Biometrics. RePEc:bla:biomet:v:73:y:2017:i:4:p:1111-1122.

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2024Resampling?based confidence intervals for model?free robust inference on optimal treatment regimes. (2021). Wang, Lan ; Wu, Yunan. In: Biometrics. RePEc:bla:biomet:v:77:y:2021:i:2:p:465-476.

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2024Sensitivity analysis for subsequent treatments in confirmatory oncology clinical trials: A two?stage stochastic dynamic treatment regime approach. (2021). Matsuyama, Yutaka ; Mukai, Hirofumi ; Shinozaki, Tomohiro ; Hagiwara, Yasuhiro. In: Biometrics. RePEc:bla:biomet:v:77:y:2021:i:2:p:702-714.

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2023SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale. (2023). Guan, Qian ; Liu, Guanghan Frank ; Zhang, Yilong ; Yang, Shu. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:1:p:230-240.

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2023Causal inference with outcomes truncated by death in multiarm studies. (2023). He, Yangbo ; Li, Wei ; Luo, Shanshan. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:1:p:502-513.

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2023Coherent modeling of longitudinal causal effects on binary outcomes. (2023). Robins, James M ; Richardson, Thomas S ; Meng, Xiang ; Wang, Linbo. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:2:p:775-787.

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2023.

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2023Bayesian sample size calculations for comparing two strategies in SMART studies. (2023). Lambert, Sylvie D ; Stephens, David A ; Turchetta, Armando. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:3:p:2489-2502.

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2023Interim monitoring of sequential multiple assignment randomized trials using partial information. (2023). Laber, Eric ; Manschot, Cole ; Davidian, Marie. In: Biometrics. RePEc:bla:biomet:v:79:y:2023:i:4:p:2881-2894.

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2023Optimal Treatment Regimes: A Review and Empirical Comparison. (2023). Chen, Jie ; Li, Zhen ; Baumgartner, Richard ; Liu, Fang ; Laber, Eric. In: International Statistical Review. RePEc:bla:istatr:v:91:y:2023:i:3:p:427-463.

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2023Conditional average treatment effect estimation with marginally constrained models. (2023). Rajesh, Ranganath ; Wouter, Van Amsterdam. In: Journal of Causal Inference. RePEc:bpj:causin:v:11:y:2023:i:1:p:26:n:1.

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2023Neighborhood-based cross fitting approach to treatment effects with high-dimensional data. (2023). Yu, Han ; Agboola, Oluwagbenga David. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:186:y:2023:i:c:s0167947323000919.

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2024Calibrated regression estimation using empirical likelihood under data fusion. (2024). Xu, Wangli ; Luo, Shanshan ; Li, Wei. In: Computational Statistics & Data Analysis. RePEc:eee:csdana:v:190:y:2024:i:c:s0167947323001822.

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2023Flexible inflation targeting and stock market volatility: Evidence from emerging market economies. (2023). Boughrara, Adel ; Dridi, Ichrak. In: Economic Modelling. RePEc:eee:ecmode:v:126:y:2023:i:c:s0264999323002328.

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2024Causal inference of general treatment effects using neural networks with a diverging number of confounders. (2024). Ma, Shujie ; Liu, Ying ; Chen, Xiaohong ; Zhang, Zheng. In: Journal of Econometrics. RePEc:eee:econom:v:238:y:2024:i:1:s0304407623002713.

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2024Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators. (2024). Robins, James M ; Mukherjee, Rajarshi ; Liu, Lin. In: Journal of Econometrics. RePEc:eee:econom:v:240:y:2024:i:2:s0304407623002166.

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2024A Dirichlet process mixture regression model for the analysis of competing risk events. (2024). van den Heuvel, Edwin R ; Ungolo, Francesco. In: Insurance: Mathematics and Economics. RePEc:eee:insuma:v:116:y:2024:i:c:p:95-113.

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2023SMART-EXAM: Incorporating Participants Welfare into Sequential Multiple Assignment Randomized Trials. (2023). Chakraborty, Bibhas ; Yusuke, Narita ; Deliu, Nina ; Wang, Xinru. In: Discussion papers. RePEc:eti:dpaper:23081.

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2023Firm-Level Innovations in an Emerging Economy: Do Perceived Policy Instability and Legal Institutional Conditions Matter?. (2023). Odei, Samuel Amponsah ; Dunyo, Samuel Kwesi. In: Sustainability. RePEc:gam:jsusta:v:15:y:2023:i:2:p:1570-:d:1034974.

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2024Tailored inference for finite populations: conditional validity and transfer across distributions. (2024). Rothenhausler, Dominik ; Jin, Ying. In: Biometrika. RePEc:oup:biomet:v:111:y:2024:i:1:p:215-233..

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2023On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects. (2023). Scheike, Thomas ; Holt, Anders ; Blanche, Paul Frederic. In: Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data. RePEc:spr:lifeda:v:29:y:2023:i:2:d:10.1007_s10985-022-09564-6.

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2023Simultaneous Confidence Regions and Weighted Hypotheses on Parameter Arrays. (2023). Chen, John T ; Yeh, Arthur B ; Ma, Yehan. In: Methodology and Computing in Applied Probability. RePEc:spr:metcap:v:25:y:2023:i:2:d:10.1007_s11009-023-10030-5.

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Works by Andrea Rotnitzky:


YearTitleTypeCited
1996Can physical activity minimize weight gain in women after smoking cessation? In: American Journal of Public Health.
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article0
1999Lead and hypertension in a sample of middle-aged women In: American Journal of Public Health.
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article1
2006Doubly Robust Estimation of the Area Under the Receiver-Operating Characteristic Curve in the Presence of Verification Bias In: Journal of the American Statistical Association.
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article6
2010Nonparametric Regression With Missing Outcomes Using Weighted Kernel Estimating Equations In: Journal of the American Statistical Association.
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article13
2001Discussion of the Frangakis and Rubin Article In: Biometrics.
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article1
2001Inference in Randomized Studies with Informative Censoring and Discrete Time-to-Event Endpoints In: Biometrics.
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article8
2006Sensitivity Analyses Comparing Outcomes Only Existing in a Subset Selected Post-Randomization, Conditional on Covariates, with Application to HIV Vaccine Trials In: Biometrics.
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article15
2007Discussions In: Biometrics.
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article23
2009Semiparametric Theory and Missing Data by TSIATIS, A. A. In: Biometrics.
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article0
2013Targeted Learning by VAN DER LAAN, M. and ROSE, S. In: Biometrics.
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article0
2003Pattern-mixture and selection models for analysing longitudinal data with monotone missing patterns In: Journal of the Royal Statistical Society Series B.
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article9
2007Analysis of failure time data under competing censoring mechanisms In: Journal of the Royal Statistical Society Series B.
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article6
2007Semiparametric estimation of treatment effects given base-line covariates on an outcome measured after a post-randomization event occurs In: Journal of the Royal Statistical Society Series B.
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article8
2022A note on efficient minimum cost adjustment sets in causal graphical models In: Journal of Causal Inference.
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article0
2010Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part I: Main Content In: The International Journal of Biostatistics.
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article22
2010Dynamic Regime Marginal Structural Mean Models for Estimation of Optimal Dynamic Treatment Regimes, Part II: Proofs of Results In: The International Journal of Biostatistics.
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article20
2009Estimation of the disease-specific diagnostic marker distribution under verification bias In: Computational Statistics & Data Analysis.
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article3
1997Efficiency Comparisons in Multivariate Multiple Regression with Missing Outcomes In: Journal of Multivariate Analysis.
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article1
2021Characterization of parameters with a mixed bias property In: Biometrika.
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article7
2022Efficient adjustment sets in causal graphical models with hidden variables In: Biometrika.
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article0
2004Estimation of treatment effects in randomised trials with non-compliance and a dichotomous outcome using structural mean models In: Biometrika.
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article20
2007Estimation of Regression Models for the Mean of Repeated Outcomes Under Nonignorable Nonmonotone Nonresponse In: Biometrika.
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article11
2010On doubly robust estimation in a semiparametric odds ratio model In: Biometrika.
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article11
2010A note on overadjustment in inverse probability weighted estimation In: Biometrika.
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article10
2011On protected estimation of an odds ratio model with missing binary exposure and confounders In: Biometrika.
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article1
2012Improved double-robust estimation in missing data and causal inference models In: Biometrika.
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article33
2012Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer In: Journal of the American Statistical Association.
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article15
2012Rejoinder In: Journal of the American Statistical Association.
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article0
2021Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption In: Journal of the American Statistical Association.
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