'Trial Sequential Analysis' for Error Control and Inference in Sequential Meta-Analyses

Frequentist sequential meta-analysis based on 'Trial Sequential Analysis' (TSA) in programmed in Java by the Copenhagen Trial Unit (CTU). The primary function is the calculation of group sequential designs for meta-analysis to be used for planning and analysis of both prospective and retrospective sequential meta-analyses to preserve type-I-error control under sequential testing. 'RTSA' includes tools for sample size and trial size calculation for meta-analysis and core meta-analyses methods such as fixed-effect and random-effects models and forest plots. TSA is described in Wetterslev et. al (2008) . The methods for deriving the group sequential designs are based on Jennison and Turnbull (1999, ISBN:9780849303166).


Overview

RTSA is a R package for sequential meta-analysis using Trial Sequential Analysis (TSA).

Installation

You can install the released version of RTSA from CRAN with:

install.packages("RTSA")

Original software

RTSA is the R version of TSA, originally being developed as a java stand-alone software. The RTSA manual is heavily inspired by the user manual for TSA by Kristian Thorlund, Janus Engstrøm, Jørn Wetterslev, Jesper Brok, Georgina Imberger, and Christian Gluud. To access the original TSA software developed by Copenhagen Trial Unit please go to: https://ctu.dk/tsa/.

Copenhagen Trial Unit
Centre for Clinical Intervention Research
Department 3344, Rigshospitalet
DK-2100 Copenhagen Ø
Denmark
Tel. +45 3545 7171 Fax +45 3545 7101
E-mail: [email protected]

Reference manual

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install.packages("RTSA")

0.2.2 by Anne Lyngholm Soerensen, 3 years ago


https://github.com/AnneLyng/RTSA


Report a bug at https://github.com/AnneLyng/RTSA/issues


Browse source code at https://github.com/cran/RTSA


Authors: Anne Lyngholm Soerensen [aut, cre, trl] , Markus Harboe Olsen [aut, ctr] , Theis Lange [ctr] , Christian Gluud [ctr]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, metafor, ggplot2, scales, Rcpp

Suggests gsDesign, CompQuadForm, dplyr, kableExtra, rmarkdown, knitr, bookdown, gridExtra, testthat

Linking to Rcpp


See at CRAN