Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders

Type: Article

Publication Date: 2021-03-17

Citations: 6

DOI: https://doi.org/10.1111/biom.13455

Locations

Similar Works

Action Title Year Authors
+ Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes: Sensitivity Analysis and Identification Results 2021 Daniel O. Scharfstein
Jaron J. R. Lee
Aidan McDermott
Aimee N. C. Campbell
Edward V. Nunes
Abigail Matthews
Ilya Shpitser
+ Markov-Restricted Analysis of Randomized Trials with Non-Monotone Missing Binary Outcomes: Sensitivity Analysis and Identification Results 2021 Daniel O. Scharfstein
Jaron J. R. Lee
Aidan McDermott
Aimee N. C. Campbell
Edward V. Nunes
Abigail G. Matthews
Ilya Shpitser
+ PDF Chat Global sensitivity analysis of clinical trials with missing patient-reported outcomes 2018 Daniel O. Scharfstein
Aidan McDermott
+ Sensitivity analysis for non-monotone missing binary data in longitudinal studies: Application to the NIDA collaborative cocaine treatment study 2018 Garrett M. Fitzmaurice
Stuart R. Lipsitz
Roger D. Weiss
+ Conducting Sensitivity Analyses to Identify and Buffer Power Vulnerabilities in Studies Examining Substance Use over Time 2018 Sean P. Lane
Erin P. Hennes
+ Sensitivity analysis for randomized trials with missing outcome data 2011 Ian R. White
+ Sensitivity analysis for randomized trials with missing outcome data 2011 Ian R. White
+ A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome 2020 Liangyuan Hu
Jungang Zou
Chenyang Gu
Jiayi Ji
Michael J. Lopez
Minal Kale
+ Conducting sensitivity analyses to identify and buffer power vulnerabilities in studies examining substance use over time 2018 Sean P. Lane
Erin P. Hennes
+ A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data 2020 Liangyuan Hu
Jungang Zou
Chenyang Gu
Jiayi Ji
Michael J. Lopez
Minal Kale
+ A flexible sensitivity analysis approach for unmeasured confounding with multiple treatments and a binary outcome with application to SEER-Medicare lung cancer data 2022 Liangyuan Hu
Jungang Zou
Chenyang Gu
Jiayi Ji
Michael J. Lopez
Minal Kale
+ PDF Chat Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies 2024 D Wu
Xinran Li
+ PDF Chat Information-Anchored Sensitivity Analysis: Theory and Application 2018 Suzie Cro
James R. Carpenter
Michael G. Kenward
+ PDF Chat Bayesian Sensitivity Analysis for Non-ignorable Missing Data in Longitudinal Studies 2019 Tian Li
Julian M. Somers
X. Joan Hu
Lawrence C. McCandless
+ Sensitivity analysis for an unobserved moderator in RCT-to-target-population generalization of treatment effects 2017 Trang Quynh Nguyen
Cyrus Ebnesajjad
Stephen R. Cole
Elizabeth A. Stuart
+ Information-Anchored Sensitivity Analysis: Theory and Application 2018 Suzie Cro
James R. Carpenter
Michael G. Kenward
+ Information-Anchored Sensitivity Analysis: Theory and Application 2018 Suzie Cro
James R. Carpenter
Michael G. Kenward
+ Sensitivity Analysis for Quantiles of Hidden Biases in Matched Observational Studies 2023 Dongxiao Wu
Xinran Li
+ Sample size estimation for comparing dynamic treatment regimens in a SMART: a Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes 2021 Jamie Yap
John J. Dziak
Raju Maiti
Kevin G. Lynch
James R. McKay
Bibhas Chakraborty
Inbal Nahum‐Shani
+ PDF Chat Sample size estimation for comparing dynamic treatment regimens in a SMART: A Monte Carlo-based approach and case study with longitudinal overdispersed count outcomes 2023 Jamie Yap
John J. Dziak
Raju Maiti
Kevin G. Lynch
James R. McKay
Bibhas Chakraborty
Inbal Nahum‐Shani