Statistical issues in the evaluation of markers of HIV progression
Segal, M.R., James, I.R., French, M.A.H. and Mallal, S.A. (1995) Statistical issues in the evaluation of markers of HIV progression. International Statistical Review/ Revue Internationale de Statistique, 63 (2). pp. 179-197.
*Subscription may be required
Contemporary survival analytic praxis affords several methods for both appraising and extending the Cox proportional hazards model. With regard assessment a variety of diagnostic plots based on martin-gale and related residuals are available. One extension, additive proportional hazards models, allows sums of univariate smooth functions of the covariates as a generalization of the Cox model linear predictor. A complementary method, tree-structured survival analysis, is adept at identifying homogenous subgroups having distinct survival patterns. We apply this array of techniques to an evaluation of markers of HIV disease progression. Issues concerning survival analysis from seroprevalent cohort data are described. Little used measures of partial dependence for censored data are invoked in this context. Results from the Western Australian HIV Cohort Study indicate that delayed-type hypersensitivity skin tests augment CD4 cell counts in predicting time-to-AIDS and time-to-death.
|Publication Type:||Journal Article|
|Copyright:||1995 International Statistical Institute|
|Item Control Page|