A comparison of the random-effects pattern mixture model with last-observation-carried-forward(locf) analysis in longitudinal clinical trials with dropouts

DOI10.1080/10543409808835259zbMath0937.62116OpenAlexW1965263807WikidataQ52229435 ScholiaQ52229435MaRDI QIDQ4221313

Ohidul Siddiqui, Mirza W. Ali

Publication date: 14 June 2000

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

Full work available at URL: https://doi.org/10.1080/10543409808835259

zbMATH Keywords

pattern mixture modelmonotone missing datarandom-effectsLOCF

Mathematics Subject Classification ID

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

Related Items (7)

Assessing Response Profiles from Incomplete Longitudinal Clinical Trial Data Under Regulatory Considerations ⋮ Bivariate Longitudinal Model For The Analysis Of The Evolution Of Hiv Rna And Cd4 Cell Count In Hiv Infection Taking Into Account Left Censoring Of Hiv Rna Measures ⋮ Analyzing incomplete discrete longitudinal clinical trial data ⋮ Estimation of random-effects model for longitudinal data with nonignorable missingness using Gibbs sampling ⋮ On Inverse Probability Weighting for Nonmonotone Missing at Random Data ⋮ Imputation of clinical covariates in time series ⋮ MULTIPLE IMPUTATION COMPARED WITH SOME INFORMATIVE DROPOUT PROCEDURES IN THE ESTIMATION AND COMPARISON OF RATES OF CHANGE IN LONGITUDINAL CLINICAL TRIALS WITH DROPOUTS

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