Sample size and power calculations in repeated measurement analysis

Computer Methods and Programs in Biomedicine

Volumn 64, Issue 2, 2001, Pages 121-124

  Ahn, Chul ^a   Overall, John E ^a   Tonidandel, Scott ^a  

^a UNIVERSITY OF TEXAS   (United States)

Author keywords

Dropouts; Power calculation; Repeated measures; Sample size estimate

Indexed keywords

COMPUTER SIMULATION; NUMERICAL ANALYSIS;

CONTROLLED CLINICAL TRIALS; REPEATED MEASUREMENTS;

MEDICAL COMPUTING;

ARTICLE; CALCULATION; COMPUTER PROGRAM; COVARIANCE; DATA ANALYSIS; MEASUREMENT; SAMPLE; SCHIZOPHRENIA; SCORING SYSTEM; STATISTICAL ANALYSIS;

CONTROLLED CLINICAL TRIALS; HUMANS; SAMPLE SIZE; SCHIZOPHRENIA; SOFTWARE;

EID: 0035255228     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-2607(00)00095-X     Document Type: Article

References (5)

1. Issues in use of SAS PROC.MIXED to test the significance of treatment effects in controlled clinical trials
2. Problematic formulations of SAS PROC.MIXED models for repeated measurements
3. Estimating sample sizes for repeated measurements designs
4. Adjusting samples size for anticipated dropouts in clinical trials