<?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>tarak-dhaouadi.r-universe.dev</title><link>https://tarak-dhaouadi.r-universe.dev</link><description>Recent package updates in tarak-dhaouadi</description><generator>R-universe</generator><image><url>https://github.com/tarak-dhaouadi.png</url><title>R packages by tarak-dhaouadi</title><link>https://tarak-dhaouadi.r-universe.dev</link></image><lastBuildDate>Mon, 05 Oct 2026 09:35:41 GMT</lastBuildDate><item><title>[tarak-dhaouadi] tsahr 0.2.8.18</title><author>dhaouaditarak@yahoo.fr (Tarak Dhaouadi)</author><description>Performs Trial Sequential Analysis (TSA) for meta-analyses
of time-to-event outcomes reported as hazard ratios. Implements
the Schoenfeld required-events sample-size formula generalised
for unequal allocation, the Diversity (D-squared) heterogeneity
adjustment of Wetterslev et al. (2009), and
O'Brien-Fleming-type alpha- and beta-spending trial sequential
monitoring boundaries computed at the inverse-variance
information based on observed study-level log-HR standard
errors (not merely event counts), via a compiled (C++)
recursive numerical integration engine ported from the R
package 'RTSA' (Soerensen, Olsen, Lange and Gluud; an R
implementation of the Trial Sequential Analysis software of the
Copenhagen Trial Unit, &lt;https://ctu.dk/tools&gt;), with no fixed
software-imposed limit on the number of looks (subject to
available computational resources). Produces a cumulative
Z-curve plot with efficacy, futility, and conventional
significance boundaries. Methodology follows Miladinovic et al.
(2013) &lt;doi:10.1016/j.jclinepi.2012.11.007&gt; and Wetterslev et
al. (2009) &lt;doi:10.1186/1471-2288-9-86&gt;.</description><link>https://github.com/r-universe/tarak-dhaouadi/actions/runs/37771984212</link><pubDate>Mon, 05 Oct 2026 09:35:41 GMT</pubDate><r:package>tsahr</r:package><r:version>0.2.8.18</r:version><r:status>success</r:status><r:repository>https://tarak-dhaouadi.r-universe.dev</r:repository><r:upstream>https://github.com/tarak-dhaouadi/tsahr</r:upstream></item></channel></rss>