Citations (39)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (14)
Alberto García-Hernandez, Teresa Pérez, María del Carmen Pardo & Dimitris Rizopoulos. (2023) A Flexible Analytical Framework for Reference-Based Imputation, Delta Adjustment and Tipping-Point Stress-Testing. Statistics in Biopharmaceutical Research 15:4, pages 781-793.
Read now
Read now
Man Jin & Guanghan Liu. (2023) Estimands and estimators of two-level methods using return to baseline strategy for longitudinal clinical trials with incomplete daily patient reported outcomes. Journal of Biopharmaceutical Statistics 33:4, pages 425-438.
Read now
Read now
Man Jin & Yixin Fang. (2023) Methods for Informative Censoring in Time-to-Event Data Analysis. Statistics in Biopharmaceutical Research 0:0, pages 1-8.
Read now
Read now
Jonathan W. Bartlett. (2023) Reference-Based Multiple Imputation—What is the Right Variance and How to Estimate It. Statistics in Biopharmaceutical Research 15:1, pages 178-186.
Read now
Read now
G. Frank Liu, Jiajun Liu, Fang Chen, Roee Gutman & Kaifeng Lu. (2022) Bayesian Approaches for Handling Hypothetical Estimands in Longitudinal Clinical Trials With Gaussian Outcomes. Statistics in Biopharmaceutical Research 14:4, pages 626-635.
Read now
Read now
Man Jin & Yixin Fang. (2022) On Reference-based Imputation for Analysis of Incomplete Repeated Binary Endpoints. Journal of Biopharmaceutical Statistics 32:5, pages 692-704.
Read now
Read now
Rolando Uranga, Geert Molenberghs & Sira Allende. (2022) A multiple regression imputation method with application to sensitivity analysis under intermittent missingness. Communications in Statistics - Theory and Methods 51:15, pages 5146-5161.
Read now
Read now
Yilong Zhang, Zachary Zimmer, Lei Xu, Raymond L. H. Lam, Susan Huyck & Gregory Golm. (2022) Missing Data Imputation With Baseline Information in Longitudinal Clinical Trials. Statistics in Biopharmaceutical Research 14:2, pages 242-248.
Read now
Read now
Kaifeng Lu. (2021) An Alternative Implementation of Reference-Based Controlled Imputation Procedures. Statistics in Biopharmaceutical Research 13:4, pages 483-491.
Read now
Read now
Ian White, Royes Joseph & Nicky Best. (2020) A causal modelling framework for reference-based imputation and tipping point analysis in clinical trials with quantitative outcome. Journal of Biopharmaceutical Statistics 30:2, pages 334-350.
Read now
Read now
G. Frank Liu, Fang Liu & Devan V. Mehrotra. (2020) Model Averaging Using Likelihoods That Reflect Poor Outcomes for Clinical Trial Dropouts. Statistics in Biopharmaceutical Research 12:1, pages 79-89.
Read now
Read now
Melanie L Bell, Lysbeth Floden, Brooke A Rabe, Stacie Hudgens, Haryana M Dhillon, Victoria J Bray & Janette L Vardy. (2019) Analytical approaches and estimands to take account of missing patient-reported data in longitudinal studies. Patient Related Outcome Measures 10, pages 129-140.
Read now
Read now
Fei Gao, Guanghan Liu, Donglin Zeng, Guoqing Diao, Joseph F. Heyse & Joseph G. Ibrahim. (2017) On inference of control-based imputation for analysis of repeated binary outcomes with missing data. Journal of Biopharmaceutical Statistics 27:3, pages 358-372.
Read now
Read now
G. Frank Liu & Lei Pang. (2017) Control-Based Imputation and Delta-Adjustment Stress Test for Missing Data Analysis in Longitudinal Clinical Trials. Statistics in Biopharmaceutical Research 9:2, pages 186-194.
Read now
Read now
Articles from other publishers (25)
Man Jin. (2024) Imputation methods for informative censoring in survival analysis with time dependent covariates. Contemporary Clinical Trials 136, pages 107401.
Crossref
Crossref
Alberto García‐Hernandez, Teresa Pérez, María del Carmen Pardo & Dimitris Rizopoulos. (2023) An illness–death multistate model to implement delta adjustment and reference‐based imputation with time‐to‐event endpoints. Pharmaceutical Statistics.
Crossref
Crossref
Shu Yang, Yilong Zhang, Guanghan Frank Liu & Qian Guan. (2021) SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale. Biometrics 79:1, pages 230-240.
Crossref
Crossref
Siyi Liu, Shu Yang, Yilong Zhang & Guanghan (Frank) Liu. (2022) Sensitivity analyses in longitudinal clinical trials via distributional imputation. Statistical Methods in Medical Research 32:1, pages 181-194.
Crossref
Crossref
Marcel Wolbers, Alessandro Noci, Paul Delmar, Craig Gower‐Page, Sean Yiu & Jonathan W. Bartlett. (2022) Standard and reference‐based conditional mean imputation. Pharmaceutical Statistics 21:6, pages 1246-1257.
Crossref
Crossref
Man Jin. (2022) A hybrid return to baseline imputation method to incorporate MAR and MNAR dropout missingness. Contemporary Clinical Trials 120, pages 106859.
Crossref
Crossref
Marian Mitroiu, Steven Teerenstra, Katrien Oude Rengerink, Frank Pétavy & Kit C. B. Roes. (2022)
Estimation of treatment effects in short‐term depression studies. An evaluation based on the
ICH E9
(
R1
) estimands framework
. Pharmaceutical Statistics 21:5, pages 1037-1057.
Crossref
Crossref
Yixin Fang & Man Jin. (2022) Sequential modeling for a class of reference‐based imputation methods in clinical trials with quantitative or binary outcomes. Statistics in Medicine 41:8, pages 1525-1540.
Crossref
Crossref
G. Frank Liu & Fang Chen. 2022. Bayesian Inference and Computation in Reliability and Survival Analysis. Bayesian Inference and Computation in Reliability and Survival Analysis
239
259
.
Torfinn S. Madssen, Guro F. Giskeødegård, Age K. Smilde & Johan A. Westerhuis. (2021) Repeated measures ASCA+ for analysis of longitudinal intervention studies with multivariate outcome data. PLOS Computational Biology 17:11, pages e1009585.
Crossref
Crossref
Andrew Atkinson, Suzie Cro, James R. Carpenter & Michael G. Kenward. (2021) Information anchored reference‐based sensitivity analysis for truncated normal data with application to survival analysis. Statistica Neerlandica 75:4, pages 500-523.
Crossref
Crossref
Man Jin, Ran Liu & Weining Robieson. (2021) Modified reference based imputation and tipping point analysis in the presence of missing data due to COVID-19. Contemporary Clinical Trials 110, pages 106575.
Crossref
Crossref
Yixin Fang & Man Jin. (2021) Sample Size Calculation When Planning Clinical Trials with Intercurrent Events. Therapeutic Innovation & Regulatory Science 55:4, pages 779-785.
Crossref
Crossref
M. Mitroiu, K. Oude Rengerink, S. Teerenstra, F. Pétavy & K. C. B. Roes. (2020) A narrative review of estimands in drug development and regulatory evaluation: old wine in new barrels?. Trials 21:1.
Crossref
Crossref
Man Jin & Guanghan Liu. (2020) Estimand framework: Delineating what to be estimated with clinical questions of interest in clinical trials. Contemporary Clinical Trials 96, pages 106093.
Crossref
Crossref
Man Jin, Dai Feng, Guanghan Liu & Shuyan Wan. (2019) Two-level approaches to missing data in longitudinal trials with daily patient-reported outcomes. Statistical Methods in Medical Research 29:7, pages 1935-1949.
Crossref
Crossref
Yilong Zhang, Gregory Golm & Guanghan Liu. (2020) A Likelihood-Based Approach for the Analysis of Longitudinal Clinical Trials with Return-to-Baseline Imputation. Statistics in Biosciences 12:1, pages 23-36.
Crossref
Crossref
Guanghan Liu, Man Jin & Lei Pang. (2020) Discussion on the paper “Considerations of multiple imputation approaches for handling missing data in clinical trials”, by H Quan, L Qi, X Luo, and L Darchy. Contemporary Clinical Trials 89, pages 105917.
Crossref
Crossref
Devan V Mehrotra. (2019) A note on the draft International Council for Harmonisation guidance on estimands and sensitivity analysis. Clinical Trials 16:4, pages 339-344.
Crossref
Crossref
C. H. Mallinckrodt, J. Bell, G. Liu, B. Ratitch, M. O’Kelly, I. Lipkovich, P. Singh, L. Xu & G. Molenberghs. (2019) Aligning Estimators With Estimands in Clinical Trials: Putting the ICH E9(R1) Guidelines Into Practice. Therapeutic Innovation & Regulatory Science, pages 216847901983697.
Crossref
Crossref
Suzie Cro, James R. Carpenter & Michael G. Kenward. (2019) Information-Anchored Sensitivity Analysis: Theory and Application. Journal of the Royal Statistical Society Series A: Statistics in Society 182:2, pages 623-645.
Crossref
Crossref
Hui Quan, Li Qi, Xiaodong Luo & Loic Darchy. (2018) Considerations of multiple imputation approaches for handling missing data in clinical trials. Contemporary Clinical Trials 70, pages 62-71.
Crossref
Crossref
Yongqiang Tang. (2017) On the multiple imputation variance estimator for control‐based and delta‐adjusted pattern mixture models. Biometrics 73:4, pages 1379-1387.
Crossref
Crossref
Devan V. Mehrotra, Fang Liu & Thomas Permutt. (2017) Missing data in clinical trials: control-based mean imputation and sensitivity analysis. Pharmaceutical Statistics 16:5, pages 378-392.
Crossref
Crossref
G. Frank Liu & James Kost. 2017. Monte-Carlo Simulation-Based Statistical Modeling. Monte-Carlo Simulation-Based Statistical Modeling
211
232
.