Statistical models for prevalent cohort data.
In prospective cohort studies individuals are sometimes recruited according to a certain cross-sectional sampling criterion. A prevalent cohort is defined as a group of individuals who have a certain disease at enrollment into the study. Statistical models for the analysis of prevalent cohort data are considered when the onset or diagnosis time of the disease is known. The incident proportional hazards model, where the time scale is duration with disease, is compared to the prevalent proportional hazards model, where the fundamental time scale is follow-up time. In certain cases the time of enrollment may coincide with another event (such as the initiation of treatment). This situation is also considered and its limitations highlighted. To illustrate the methodological ideas discussed in the paper, the analysis of data from an observational study of zidovudine (ZVD) in patients with the acquired immunodeficiency syndrome (AIDS) is presented.
Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland 21205.
M C
MC
Wang
R
R
Brookmeyer
N P
NP
Jewell
D000163:Acquired Immunodeficiency Syndrome / Q000188:drug therapy; D001699:Biometry; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D015331:Cohort Studies; D006801:Humans; D015233:Models, Statistical; D016016:Proportional Hazards Models; D011446:Prospective Studies; D015215:Zidovudine / Q000627:therapeutic use
D015215:Zidovudine