In a long term clinical trial to evaluate a new treatment, quite often each study subject may
experience a number of 'failures' that correspond to repeated occurrences of the same type …

In this paper we discuss an approach to the analysis of mortality and longevity limits when
survival data on related individuals with and without observed covariates are available. The …

In survival analysis, deviations from proportional hazards may sometimes be explained by
unaccounted random heterogeneity, or frailty. This paper recalls the literature on omitted …

Estimation of the proportional-odds failure-time regression model with interval censoring is
considered. Conditions that allow for positive information for the regression parameter are …

Likelihood ratio tests and related confidence intervals for a real parameter in the presence of
an infinite dimensional nuisance parameter are considered. In all cases, the estimator of the …

The Cox regression model with a shared frailty factor allows for unobserved heterogeneity or
for statistical dependence between the observed survival times. Estimation in this model …

Time to pregnancy, the number of menstrual cycles it takes a couple to conceive, and
various covariates have been collected among couples ultimately achieving conception. To …

Recent 'marginal'methods for the regression analysis of multivariate failure time data have
mostly assumed Cox (1972) model hazard functions in which the members of the cluster …

Cox model marginal survivor function and pairwise correlation models are specified for a
multivariate failure time vector. The corresponding mean and covariance structure for the …

The additive hazards regression model relates the conditional hazard function of the failure
time linearly to the covariates. This formulation complements the familiar proportional …