Etrank:a ranking procedure for handling missing data in clinical trials:application to venlafaxine extended-release depression clinical trial
- 1 January 1996
- journal article
- review article
- Published by Taylor & Francis in Journal of Biopharmaceutical Statistics
- Vol. 6 (4) , 457-475
- https://doi.org/10.1080/10543409608835156
Abstract
ETRANK® is a statistical software which uses nonparametric (randomization) technique to analyze incomplete repeated measures data where the pattern of withdrawal is treatment related. This standalone program is written in C, presently runs in MS-DOS, and a Windows version is in development. The program has been developed based on methods developed by Entsuah (1990). These methods were presented at Statistics and Statistical Graphics Section of the 1991 SAS® Users Group International Conference (SUGI-16). They were also presented to the Biometric Division of US Food and Drug Administration (FDA). ETRANK is now being used by CNS group of Wyeth-Ayerst Research as part of their NDA submission. This paper discusses ETRANK, and compares it with SAS PROC MIXED and GEE. These methods are applied to Wyeth-Ayerst antidepressant Effexor-ER (extended release) data.Keywords
This publication has 21 references indexed in Scilit:
- A comparison of analytic methods for non-random missingness of outcome dataJournal of Clinical Epidemiology, 1995
- Stratification of summary statistic tests according to missing data patternsStatistics in Medicine, 1994
- Incomplete Repeated Measures Data Analysis in the Presence of Treatment EffectsJournal of the American Statistical Association, 1994
- Informative Drop-Out in Longitudinal Data AnalysisJournal of the Royal Statistical Society Series C: Applied Statistics, 1994
- A technique for summarizing longitudinal dataStatistics in Medicine, 1993
- A test for the difference between two treatments in a continuous measure of outcome when there are dropoutsControlled Clinical Trials, 1992
- Statistical handling of drop‐outs in longitudinal clinical trialsStatistics in Medicine, 1992
- Randomization procedures for analyzing clinical trial data with treatment related withdrawalsCommunications in Statistics - Theory and Methods, 1990
- Missing data in longitudinal studiesStatistics in Medicine, 1988
- Longitudinal data analysis using generalized linear modelsBiometrika, 1986