Stratified tests, stratified slopes, and random effects models for clinical trials with missing data

Journal of Biopharmaceutical Statistics

Volumn 10, Issue 4, 2000, Pages 447-455

  Dawson, Jeffrey D ^a   Han, Seung Ho ^b  

^a UNIVERSITY OF IOWA   (United States)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

Longitudinal data; Power; Robustness; Test size

Indexed keywords

ANALYTIC METHOD; CLINICAL TRIAL; CONFERENCE PAPER; DATA ANALYSIS; LONGITUDINAL STUDY; PRIORITY JOURNAL; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; CLINICAL TRIALS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; MODELS, STATISTICAL; RANDOMIZED CONTROLLED TRIALS;

EID: 0033739602     PISSN: 10543406     EISSN: None     Source Type: Journal    
DOI: 10.1081/BIP-100101977     Document Type: Conference Paper

References (9)

1. Analysing repeated measurements data: A practical comparison of methods
2. Longitudinal data analysis (repeated measures) in clinical trials
3. Estimation and comparison of changes in the presence of informative right censoring: Conditional linear model
4. Size and power of 2-sample tests of repeated measures data
5. Stratification of summary statistic tests according to missing data patterns
6. Comparing treatment groups on the basis of slopes, areas-under-the-curve, and other summary measures
7. Random effects models for longitudinal data
8. Stratified testing for treatment effects with missing data