COMPARISON OF ALTERNATIVE STRATEGIES FOR ANALYSIS OF LONGITUDINAL TRIALS WITH DROPOUTS
- 1 January 2002
- journal article
- research article
- Published by Taylor & Francis in Journal of Biopharmaceutical Statistics
- Vol. 12 (2) , 207-226
- https://doi.org/10.1081/bip-120015744
Abstract
Problem: Patients may withdraw from longitudinal clinical trials for many reasons. Methods for handling the problem presented by missing data of patients who withdraw before reaching the time point...Keywords
This publication has 12 references indexed in Scilit:
- Placebo Response in Studies of Major DepressionJAMA, 2002
- ACCOUNTING FOR DROPOUT BIAS USING MIXED-EFFECTS MODELSJournal of Biopharmaceutical Statistics, 2001
- MULTIPLE IMPUTATION COMPARED WITH SOME INFORMATIVE DROPOUT PROCEDURES IN THE ESTIMATION AND COMPARISON OF RATES OF CHANGE IN LONGITUDINAL CLINICAL TRIALS WITH DROPOUTSJournal of Biopharmaceutical Statistics, 2000
- A comparison of the random-effects pattern mixture model with last-observation-carried-forward(locf) analysis in longitudinal clinical trials with dropoutsJournal of Biopharmaceutical Statistics, 1998
- Analysis of Incomplete Multivariate DataPublished by Taylor & Francis ,1997
- Multiple Imputation after 18+ YearsJournal of the American Statistical Association, 1996
- Mixed-model analysis of incomplete longitudinal data from a high-dose trial of tacrine (cognex®) in alzheimer's patientsJournal of Biopharmaceutical Statistics, 1996
- A multiple imputation strategy for clinical trials with truncation of patient dataStatistics in Medicine, 1995
- A test for the difference between two treatments in a continuous measure of outcome when there are dropoutsControlled Clinical Trials, 1992
- Multiple Imputation for Nonresponse in SurveysPublished by Wiley ,1987