Shall we count the living or the dead?

In the 1958 paper "Shall we count the living or the dead?", Mindel C. Sheps proposed a principled solution to the familiar problem of asymmetry of the relative risk. We provide causal models to clarify the scope and limitations of Sheps' line of reasoning, and show that her preferred variant of the relative risk will be stable between patient groups under certain biologically interpretable conditions. Such stability is useful when findings from an intervention study must be generalized to support clinical decisions in patients whose risk profile differs from the participants in the study. We show that Sheps' approach is consistent with a substantial body of psychological and philosophical research on how human reasoners carry causal information from one context to another, and that it can be implemented in practice using van der Laan et al's Switch Relative Risk, or equivalently, using Baker and Jackson's Generalized Relative Risk Reduction (GRRR).

PCIC Model Design: Category-Level Repurchase Prediction and Frequency‑Recency Item Ranking | HackerNoon

This article details PCIC’s category repurchase modeling using survival, ARIMA, and behavioral features, plus frequency‑recency ranking of items.

GitHub - sbalci/jsurvival: survival functions in ClinicoPath jamovi module

survival functions in ClinicoPath jamovi module. Contribute to sbalci/jsurvival development by creating an account on GitHub.

GitHub - sbalci/jsurvival: survival functions in ClinicoPath jamovi module

survival functions in ClinicoPath jamovi module. Contribute to sbalci/jsurvival development by creating an account on GitHub.

Implementation of a simulation study to evaluate the performance characteristics of statistical methods for analysis of time to event data under non-proportional hazards