The risk of tuberculosis (TB) is variable among individuals with latent Mycobacterium
tuberculosis infection (LTBI), but validated estimates of personalized risk are lacking. In …

Multistate models are increasingly being used to model complex disease profiles. By
modelling transitions between disease states, accounting for competing events at each …

Lifetime risk measures the cumulative risk for developing a disease over one's lifespan.
Modeling the lifetime risk must account for left truncation, the competing risk of death, and …

Survival analysis modelling approaches are often required to capture the survival functions
seen in clinical trial data and to further extrapolate to estimate lifetime benefits in economic …

Background Flexible parametric survival models (FPMs) are commonly used in
epidemiology. These are preferred as a wide range of hazard shapes can be captured using …

Background Individual and tumour factors only explain part of observed inequalities in
colorectal cancer survival in England. This study aims to investigate inequalities in treatment …

In this article, we describe strcs, a user-written command for fitting flexible parametric
survival models on the log-hazard scale. strcs is an extension of the user-written stgenreg …

Abstract Background Royston-Parmar flexible parametric survival models (FPMs) can be
fitted on either the cause-specific hazards or cumulative incidence scale in the presence of …

In a competing risks analysis, interest lies in the cause‐specific cumulative incidence
function (CIF) that can be calculated by either (1) transforming on the cause‐specific hazard …

Background There is high rate of under-five mortality in West Africa with little effort made to
study determinants that significantly increase or decrease its risk across the West African …