Website developed by the Stat Platform to support agile updates, new code, and other developments. It provides access to tools and expert advice from statisticians of the SCTO Statistics & Methodology Platform.

Survival (immortal time) bias arises from misanalyzing time-dependent events, creating artificial periods of immunity. Landmark analysis addresses this by resetting analysis time at specified points and comparing only survivors, ensuring fair comparison. The Stata package sts_graph_landmark implements this approach.

An R Package that produces Publication-Ready Summary Tables with descriptive statistics for continuous, categorical and dichotomous variables.

The survSAKK R package provides the surv.plot function, facilitating Kaplan-Meier survival analysis. Designed with user-friendliness and efficiency in mind. Offering a robust tool for analysing survival data.

Short guide explaining whether the new Federal law on data protection (FADP) is relevant for your clinical research project and what the most important changes are as compared to the old FDAP.

This position paper describes the role of an SCTO-affiliated statistician serving as an independent statistician on an Independent Data Monitoring Committee (IDMC) for a study involving an SCTO network partner.

This template helps define key aspects of the partnership, including objectives, confidentiality, and potential conflicts of interest.