MULTIPLE IMPUTATION COMPARED WITH SOME INFORMATIVE DROPOUT PROCEDURES IN THE ESTIMATION AND COMPARISON OF RATES OF CHANGE IN LONGITUDINAL CLINICAL TRIALS WITH DROPOUTS

DOI10.1081/BIP-100101020zbMath0957.62090WikidataQ73769671 ScholiaQ73769671MaRDI QIDQ4512839

Ohidul Siddiqui, Mirza W. Ali

Publication date: 29 March 2001

Published in: Journal of Biopharmaceutical Statistics (Search for Journal in Brave)

zbMATH Keywords

multiple imputationinformative dropoutspattern mixture modellongitudinal clinical trials

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Comparing crossing hazard rate functions by joint modelling of survival and longitudinal data ⋮ Investigating the performance of a variation of multiple correspondence analysis for multiple imputation in categorical data sets

Cites Work

• Random-Effects Models for Longitudinal Data
• Multiple Imputation After 18+ Years
• Estimation and comparison of Changes in the Presence of Informative Right Censoring: Conditional Linear Model
• Estimation and Comparison of Changes in the Presence of Informative Right Censoring by Modeling the Censoring Process
• The Calculation of Posterior Distributions by Data Augmentation
• A comparison of the random-effects pattern mixture model with last-observation-carried-forward(locf) analysis in longitudinal clinical trials with dropouts
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies

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