Now showing items 1-10 of 20
Non-parametric estimation of gap time survival functions for ordered multivariate failure time data
(John Wiley & Sons, Ltd., 2004-06-30)
Times between sequentially ordered events (gap times) are often of interest in biomedical studies. For example, in a cancer study, the gap times from incidence-to-remission and remission-to-recurrence may be examined. Such ...
A shared random effects model for censored medical costs and mortality
(John Wiley & Sons, Ltd., 2006)
In this paper, we propose a model for medical costs recorded at regular time intervals, e.g. every month, as repeated measures in the presence of a terminating event, such as death. Prior models have related monthly medical ...
Semiparametric inferences for association with semi-competing risks data
(John Wiley & Sons, Ltd., 2005)
In many biomedical studies, it is of interest to assess dependence between bivariate failure time data. We focus here on a special type of such data, referred to as semi-competing risks data. In this article, we develop ...
Estimation for paired binomial data with application to radiation therapy
(John Wiley & Sons, Ltd., 2001-11-30)
We compare and contrast several different methods for estimating the effect of treatment when responses are paired binomial observations. The ratio of binomial probabilities is the parameter of interest, while the binomial ...
Generalizing the TITE-CRM to adapt for early- and late-onset toxicities
(John Wiley & Sons, Ltd., 2005)
Due to the staggered entry of subjects in phase I trials, some subjects will only be partially through the study when others are ready to be enrolled. Nonetheless, many phase I designs focus solely upon whether or not ...
Modelling tumour biology–progression relationships in screening trials
(John Wiley & Sons, Ltd., 2005)
There has been some recent work in the statistical literature for modelling the relationship between tumour biology properties and tumour progression in screening trials. While non-parametric methods have been proposed for ...
Modeling and analyzing HIV transmission: the effect of contact patterns
(Elsevier, 1988-12)
A compartmental model is presented for the spread of HIV in a homosexual population divided into subgroups by degree of sexual activity. The model includes constant recruitment rates for the susceptibles in the subgroups. ...
Bias reduction for risk ratio and vaccine effect estimators
(John Wiley & Sons, Ltd., 2001-06-15)
We examine the structural bias for established estimators of vaccine effects on susceptibility and for newer estimates of vaccine effects on infectiousness. We then propose and analyse new bias corrections for vaccine ...
Balanced centralized and distributed database design in a clinical research environment
(John Wiley & Sons, Ltd., 2000-06-15)
Clinical research databases can meet both research and clinical needs, but this ideal is seldom achieved. Priorities often differ for those who collect and ultimately use the data and those who develop data systems. ...