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

Background The number of patients in need of second-line antiretroviral drugs is increasing
in sub-Saharan Africa. We aimed to project the need of second-line antiretroviral therapy in …

Introduction There is currently no guidance on how to assess the calibration of multistate
models used for risk prediction. We introduce several techniques that can be used to …

Background Tuberculosis (TB) is the leading cause of death in South Africa. The burden of
disease varies by age, with peaks in TB notification rates in the HIV-negative population at …

Introduction Despite widespread success in reducing vertical HIV transmission, most
antenatal care (ANC) programmes in eastern and southern Africa have not emphasized …

Background & Aims Hepatitis C (HCV) is a leading cause of morbidity and mortality in
people who live with HIV. In many countries, access to direct acting antiviral agents to treat …

The simcausal R package is a tool for specification and simulation of complex longitudinal
data structures that are based on non-parametric structural equation models. The package …

Introduction Extrapolation of time-to-event data from clinical trials is commonly used in
decision models for health technology assessment (HTA). The objective of this study was to …

Objective: To estimate the cost-effectiveness of prevention of mother-to-child transmission
(MTCT) of HIV with lifelong antiretroviral therapy (ART) for pregnant and breastfeeding …

Hepatocellular carcinoma (HCC) remains a worldwide health problem. Mounting evidence
indicates that exhausted T cells play a critical role in the progress and treatment of HCC …