Comments on 'Choice of time scale and its effect on significance of predictors in longitudinal studies'

Statistics in Medicine

Volumn 28, Issue 8, 2009, Pages 1315-1317

  Gail, Mitchell H ^a   Graubard, Barry ^a   Williamson, David F ^b   Flegal, Katherine M ^c  

^a NATIONAL CANCER INSTITUTE   (United States)

^b EMORY UNIVERSITY   (United States)

^c NATIONAL CENTER FOR HEALTH STATISTICS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGE; BODY MASS; COHORT ANALYSIS; COVARIANCE; DATA ANALYSIS; HUMAN; LONGITUDINAL STUDY; MATHEMATICAL ANALYSIS; NOTE; PREDICTION; PROPORTIONAL HAZARDS MODEL; SIMULATION; STATISTICAL MODEL; STATISTICAL SIGNIFICANCE; TIME;

AGE FACTORS; HUMANS; LONGITUDINAL STUDIES; PROPORTIONAL HAZARDS MODELS; TIME FACTORS;

EID: 65649091638     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3473     Document Type: Note

References (4)

1. Pencina MJ, Larson MG, D'Agostino RB. Choice of time scale and its effect on significance of predictors in longitudinal studies. Statistics in Medicine 2007; 26:1343-1359.
2. Korn EL, Graubard BI, Midthune D. Time-to-event analysis of longitudinal follow-up for a survey: choice of the time-scale. American Journal of Epidemiology 1997; 145:72-80.
3. Thiébaut AC, Bénichou J. Choice of time-scale in Cox's model analysis of epidemiologic cohort data: a simulation study. Statistics in Medicine 2004; 23:3803-3820.
4. Flegal KM, Graubard BI, Williamson DF, Gail MH. Excess deaths associated with underweight, overweight, and obesity. Journal of the American Medical Association 2005; 293:1861-1867.