Marker values at the time of an AIDS diagnosis.
In this paper statistical methods are proposed to estimate the distribution of a CD4 T-cell number at the time of a clinical AIDS endpoint from serial measurements of CD4 T-cell values in a cohort study. The statistical formulation of the problem is that of survival analysis with interval censored data, but in which the endpoints are obtained with measurement error. A measurement error likelihood is developed, assuming normality of the CD4 distribution at AIDS. A maximum likelihood estimation procedure and a Gibbs sampling approach are implemented.
Department of Biostatistics, University of California, Los Angeles 90024-1772.
J M
JM
Taylor
D K
DK
Kim
D000163:Acquired Immunodeficiency Syndrome / Q000175:diagnosis / Q000453:epidemiology*; D015982:Bias; D015496:CD4-Positive T-Lymphocytes; D015331:Cohort Studies; D015658:HIV Infections / Q000175:diagnosis / Q000453:epidemiology*; D018451:Homosexuality, Male; D006801:Humans; D016013:Likelihood Functions; D015141:Los Angeles / Q000453:epidemiology; D008297:Male; D015233:Models, Statistical; D016019:Survival Analysis; D013997:Time Factors