search

smartdata-analysis-and-statistics / precmed

A doubly robust precision medicine approach to estimate and validate conditional average treatment effects
https://smartdata-analysis-and-statistics.github.io/precmed/
Apache License 2.0
4 stars 0 forks source link

Reduce title length #40

Closed NightlordTW closed 1 year ago

NightlordTW commented 1 year ago

Request Beni Altmann (CRAN): Please reduce the length of the title to less than 65 characters.

NightlordTW commented 1 year ago

@gabriellesimoneau On request of CRAN, I simplified the package title to "Precision Medicine". The abstract now reads as follows:

A doubly robust precision medicine approach to fit, cross-validate and visualize prediction models for the conditional average treatment effect (CATE). It implements doubly robust estimation and semiparametric modeling approach of treatment-covariate interactions as proposed by Yadlowsky et al. (2020) <doi:10.1080/01621459.2020.1772080>.