{"payload":{"pageCount":1,"repositories":[{"type":"Public","name":"WinRatioApplications","owner":"CRF-Biostatistics","isFork":false,"description":"Supplemental material for Redfors, Björn, et al. \"The win ratio approach for composite endpoints: practical guidance based on previous experience.\" European Heart Journal (2020). This repo contains R functions that approximate the sample size for a two-arm clinical trial based on a composite endpoint analyzed using the Win Ratio.","allTopics":["survival-analysis","clinical-trials","sample-size","sample-size-calculation","sample-size-estimation","simulations","manuscript","composite-endpoints"],"primaryLanguage":{"name":"R","color":"#198CE7"},"pullRequestCount":0,"issueCount":0,"starsCount":0,"forksCount":1,"license":"MIT License","participation":null,"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2020-08-03T22:03:44.090Z"}}],"repositoryCount":1,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"CRF-Biostatistics repositories"}