Efficiency of General Estimating Equations Estimators of Slopes in Repeated Measurements: Adding Subjects or Adding Measurements?

Drug Information Journal

Volumn 37, Issue 3, 2003, Pages 309-316

  Ahn, Chul ^a   Jung, Sin Ho ^b  

^a UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

Autoregressive (1); Compound symmetry; General estimating equation (GEE); Slope

Indexed keywords

ACCURACY; ARTICLE; CLINICAL TRIAL; DATA ANALYSIS; MEDICAL RESEARCH; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

EID: 0142214734     PISSN: 00928615     EISSN: None     Source Type: Journal    
DOI: 10.1177/009286150303700306     Document Type: Article

References (6)

1. Willet J. Some results on reliability for the longitudinal measurement of change: Implications for the design of studies of individual growth. Education Psycholog Measure. 1989;49:587-602.
2. Overall J. How many repeated measurements are useful? J Clinical Psychology. 1996;52:243-252.
3. Maxwell S. Longitudinal designs in randomized group comparisons: When will intermediate observations increase statistical power? Psycholog Methods. 1998;3:275-290.
4. Kraemer H, Thiemann S. A strategy to use soft data effectively in randomized controlled clinical trials. J Consulting Clinical Psychology. 1989;57:148-154.
5. Arndt S, Jorge R, Turvey C. Robinson, R. Adding subjects or adding measurements: which increases the precision of longitudinal research? J Psychiatric Research. 2000;34:449-455.
6. Jung SH, Ahn C. Sample size estimation for comparing slopes in repeated measurements data. Stat Med. 2003;22:1305-1315.