Sensitivity Analysis for Difference in adjusted Restricted Mean Survival Time to Unmeasured Confounding
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Updated
Oct 17, 2024 - R
Sensitivity Analysis for Difference in adjusted Restricted Mean Survival Time to Unmeasured Confounding
Advanced R pipeline for clinical trial survival analysis — Kaplan-Meier, Cox regression, 6 parametric models with AIC/BIC selection, RMST, landmark analysis, subgroup forest plot, and NICE DSU TSD 14-compliant extrapolation for health technology assessment submissions.
RMST Meta: A Browser Tool for Meta-Analysis of Restricted Mean Survival Time Beyond the Hazard Ratio
An R package for Sample Size Calculation using RMST
Advanced survival model selection techniques for health economic evaluations in oncology.
Shiny app for Bayesian-ECD survival modeling with subgroup analysis, RMST summaries, prediction workflows, and posterior probability utilities.
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