<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>tonyhbc.r-universe.dev</title><link>https://tonyhbc.r-universe.dev</link><description>Recent package updates in tonyhbc</description><generator>R-universe</generator><image><url>https://github.com/tonyhbc.png</url><title>R packages by tonyhbc</title><link>https://tonyhbc.r-universe.dev</link></image><lastBuildDate>Mon, 01 Jun 2026 07:00:42 GMT</lastBuildDate><item><title>[tonyhbc] multiswc 0.1.1</title><author>tony.haobin.chen@alumni.emory.edu (Haobin Chen)</author><description>Estimate the causal effect of sustained treatment
strategies on overall survival in clinical trials with possible
treatment crossover and switch to subsequent therapy. Simulate
faithful longitudinal clinical trials data with survival
endpoints and multi-way treatment switches allowing for
time-dependent prognostic factors. For more on methodological
background, please see: Keogh et al. (2021)
&lt;doi.org/10.1002/bimj.202000040&gt; and Suarez et al. (2008)
&lt;doi.org/10.1016/j.jclinepi.2007.11.007&gt;.</description><link>https://github.com/r-universe/tonyhbc/actions/runs/26748857584</link><pubDate>Mon, 01 Jun 2026 07:00:42 GMT</pubDate><r:package>multiswc</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://tonyhbc.r-universe.dev</r:repository><r:upstream>https://github.com/tonyhbc/multiswc</r:upstream></item></channel></rss>