Santosh Kumar

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Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Mediation and Spillover Effects in Group-Randomized Trials: A Case Study of the 4Rs Educational Intervention 2013 Tyler J. VanderWeele
Guanglei Hong
Stephanie M. Jones
Joshua L. Brown
2
+ PDF Chat Causal inference in statistics: An overview 2009 Judea Pearl
2
+ PDF Chat Bayesian Inference for Causal Effects: The Role of Randomization 1978 Donald B. Rubin
2
+ Longitudinal data analysis using generalized linear models 1986 Kung‐Yee Liang
Scott L. Zeger
2
+ A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect 1986 James M. Robins
2
+ PDF Chat Assessing Time-Varying Causal Effect Moderation in Mobile Health 2017 Audrey Boruvka
Daniel Almirall
Katie Witkiewitz
Susan A. Murphy
2
+ Analysis of Longitudinal Data 2001 Peter J. Diggle
Patrick J. Heagerty
Kung‐Yee Liang
Scott L. Zeger
1
+ PDF Chat Sample size calculations for micro‐randomized trials in mHealth 2015 Peng Liao
Predrag Klasnja
Ambuj Tewari
Susan A. Murphy
1
+ Efficiency of Regression Estimates for Clustered Data 1996 Lloyd Mancl
Brian G. Leroux
1
+ Support Vector Machine 2015 Shan Suthaharan
1
+ Intelligent Notification Systems: A Survey of the State of the Art and Research Challenges. 2017 Abhinav Mehrotra
Mirco Musolesi
1
+ PDF Chat Randomization: The forgotten component of the randomized clinical trial 2018 William F. Rosenberger
Diane Uschner
Yanying Wang
1
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
1
+ PDF Chat Compliance with ecological momentary assessment protocols in substance users: a meta‐analysis 2018 Andrew Jones
Daniëlle Remmerswaal
Ilse Verveer
Eric Robinson
Ingmar H. A. Franken
Cheng Wen
Matt Field
1
+ PDF Chat Attend and Diagnose: Clinical Time Series Analysis Using Attention Models 2018 Huan Song
Deepta Rajan
Jayaraman J. Thiagarajan
Andreas Spanias
1
+ PDF Chat Video Action Transformer Network 2019 Rohit Girdhar
JoĂŁo Carreira
Carl Doersch
Andrew Zisserman
1
+ Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel. 2019 Yao-Hung Hubert Tsai
Shaojie Bai
Makoto Yamada
Louis‐Philippe Morency
Ruslan Salakhutdinov
1
+ PDF Chat The stratified micro-randomized trial design: Sample size considerations for testing nested causal effects of time-varying treatments 2020 Walter Dempsey
Peng Liao
Santosh Kumar
Susan A. Murphy
1
+ Quick Question: Interrupting Users for Microtasks with Reinforcement Learning 2020 Bo-Jhang Ho
Bharathan Balaji
Mehmet Köseoglu
Sandeep Singh Sandha
Siyou Pei
Mani Srivastava
1
+ PDF Chat Efficient Transformers: A Survey 2022 Yi Tay
Mostafa Dehghani
Dara Bahri
Donald Metzler
1
+ PDF Chat Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading 2019 Iavor Bojinov
Neil Shephard
1
+ Transformers in Vision: A Survey 2021 Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
Mubarak Shah
1
+ Vision Transformers for Dense Prediction 2021 René Ranftl
Alexey Bochkovskiy
Vladlen Koltun
1
+ PDF Chat Causal Inference for Statistics, Social, and Biomedical Sciences 2015 Guido W. Imbens
Donald B. Rubin
1
+ PDF Chat Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use 2021 Xianghua Ding
Shuhan Wei
Xinning Gui
Ning Gu
Peng Zhang
1
+ Micro-Randomized Trials in mHealth 2015 Peng Liao
Predrag Klasnja
Ambuj Tewari
Susan A. Murphy
1
+ Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction 2015 Guido W. Imbens
Donald B. Rubin
1
+ A Covariance Estimator for GEE with Improved Small‐Sample Properties 2001 Lloyd Mancl
Timothy A. DeRouen
1
+ PDF Chat Capturing Patient-Reported Outcome (PRO) Data Electronically: The Past, Present, and Promise of ePRO Measurement in Clinical Trials 2014 Stephen Joel Coons
Sonya Eremenco
J. Jason Lundy
Paul O’Donohoe
Hannah O’Gorman
William Malizia
1
+ A cautionary note on inference for marginal regression models with longitudinal data and general correlated response data 1994 Margaret S. Pepe
Garnet L. Anderson
1
+ Specifying the Correlation Structure in Inverse-Probability- Weighting Estimation for Repeated Measures 2012 Eric J. Tchetgen Tchetgen
M. Maria Glymour
Jennifer Weuve
James M. Robins
1
+ On Confounding, Prediction and Efficiency in the Analysis of Longitudinal and Cross‐sectional Clustered Data 2007 Stijn Vansteelandt
1