Event history analysis and the cross-section.
Examples are given of problems in event history analysis, where several time origins (generating calendar time, age, disease duration, time on study, etc.) are considered simultaneously. The focus is on complex sampling patterns generated around a cross-section. A basic tool is the Lexis diagram.
Keiding
Niels
N
Department of Biostatistics, University of Copenhagen, Øster Farimagsgade 5, entr. B, P.O.B. 2099, DK-1014 Copenhagen K, Denmark. nkeiding@biostat.ku.dk
D000328:Adult; D001723:Birth Rate; D003430:Cross-Sectional Studies; D003922:Diabetes Mellitus, Type 1 / Q000188:drug therapy / Q000453:epidemiology / Q000401:mortality; D005260:Female; D006801:Humans; D015994:Incidence; D016013:Likelihood Functions; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D017891:Pharmacoepidemiology / Q000706:statistics & numerical data; D011247:Pregnancy; D015995:Prevalence; D012306:Risk; D016019:Survival Analysis; D013995:Time; D013997:Time Factors