{"id":21976645,"url":"https://github.com/guido-s/metasens","last_synced_at":"2026-03-09T06:32:50.981Z","repository":{"id":27132464,"uuid":"30600972","full_name":"guido-s/metasens","owner":"guido-s","description":"Official Git repository of R package metasens","archived":false,"fork":false,"pushed_at":"2025-05-02T10:17:14.000Z","size":812,"stargazers_count":8,"open_issues_count":0,"forks_count":3,"subscribers_count":2,"default_branch":"develop","last_synced_at":"2026-01-26T20:12:29.682Z","etag":null,"topics":["adjustment","cran","meta-analysis","publication-bias","r","rstudio"],"latest_commit_sha":null,"homepage":"http://cran.r-project.org/web/packages/metasens/index.html","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/guido-s.png","metadata":{"files":{"readme":"README.md","changelog":"NEWS.md","contributing":null,"funding":null,"license":"COPYING","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2015-02-10T16:15:20.000Z","updated_at":"2025-05-02T10:17:23.000Z","dependencies_parsed_at":"2023-01-14T06:03:18.036Z","dependency_job_id":"2a095ae2-1d57-4084-9236-19ef01977f5a","html_url":"https://github.com/guido-s/metasens","commit_stats":{"total_commits":60,"total_committers":3,"mean_commits":20.0,"dds":"0.050000000000000044","last_synced_commit":"6300c60c03c177dffdefb044dcb43907c7b45680"},"previous_names":[],"tags_count":20,"template":false,"template_full_name":null,"purl":"pkg:github/guido-s/metasens","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guido-s%2Fmetasens","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guido-s%2Fmetasens/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guido-s%2Fmetasens/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guido-s%2Fmetasens/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/guido-s","download_url":"https://codeload.github.com/guido-s/metasens/tar.gz/refs/heads/develop","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guido-s%2Fmetasens/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30284776,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-09T02:57:19.223Z","status":"ssl_error","status_checked_at":"2026-03-09T02:56:26.373Z","response_time":61,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["adjustment","cran","meta-analysis","publication-bias","r","rstudio"],"created_at":"2024-11-29T16:11:33.910Z","updated_at":"2026-03-09T06:32:50.949Z","avatar_url":"https://github.com/guido-s.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# metasens: Statistical Methods for Sensitivity Analysis in Meta-Analysis\nOfficial Git repository of R package **metasens**\n\n[![License: GPL (\u003e=2)](https://img.shields.io/badge/license-GPL-blue)](https://www.gnu.org/licenses/old-licenses/gpl-2.0.en.html)\n[![CRAN Version](https://www.r-pkg.org/badges/version/metasens)](https://cran.r-project.org/package=metasens)\n[![GitHub develop](https://img.shields.io/badge/develop-1.6--0-purple)](https://img.shields.io/badge/develop-1.6--0-purple)\n[![Monthly Downloads](https://cranlogs.r-pkg.org/badges/metasens)](https://cranlogs.r-pkg.org/badges/metasens)\n[![Total Downloads](https://cranlogs.r-pkg.org/badges/grand-total/metasens)](https://cranlogs.r-pkg.org/badges/grand-total/metasens)\n\n\n## Description\n\nThe following methods are implemented to evaluate how sensitive the results of a meta-analysis are to potential bias in meta-analysis and to support Schwarzer et al. (2015), Chapter 5 \"Small-Study Effects in Meta-Analysis\":\n - Copas selection model (Copas and Shi, 2001; Schwarzer et al., 2010);\n - limit meta-analysis (Rücker et al., 2011);\n - upper bound for outcome reporting bias (Copas and Jackson, 2004);\n - imputation methods for missing binary data (Gamble \u0026 Hollis, 2005; Higgins et al., 2008).\n - LFK index test and Doi plot (Furuya-Kanamori et al., 2018).\n\nFurthermore, R package **metasens** provides functions and datasets to\nsupport Schwarzer et al. (2015), Chapter 5 \"Small-Study Effects in\nMeta-Analysis\", https://link.springer.com/book/10.1007/978-3-319-21416-0 .\n\n### References\n\n[Copas J, Jackson D (2004): A bound for publication bias based on the fraction of unpublished studies. *Biometrics*, **60**, 146-53](https://scholar.google.de/scholar?q=Copas+Jackson+2004+A+bound+for+publication+bias+based+on+the+fraction+of+unpublished+studies)\n\n[Copas JB, Shi JQ (2001): A sensitivity analysis for publication bias in systematic reviews. *Statistical Methods in Medical Research*, **10**, 251-65](https://scholar.google.de/scholar?q=Copas+Shi+2001+A+sensitivity+analysis+for+publication+bias+in+systematic+reviews)\n\n\n[Furuya-Kanamori L, Barendregt JJ, Doi S (2018): A new improved graphical and quantitative method for detecting bias in meta-analysis. *International Journal of Evidence-Based Healthcare*, **16**, 195-203](https://scholar.google.de/scholar?q=10.1097%2FXEB.0000000000000141)\n\n[Gamble C, Hollis S (2005): Uncertainty method improved on best–worst case analysis in a binary meta-analysis. *Journal of Clinical Epidemiology*, **58**, 579-88](https://scholar.google.de/scholar?q=Gamble+Hollis+2005+Uncertainty+Meta)\n\n[Higgins JPT, White IR, Wood AM (2008): Imputation methods for missing outcome data in meta-analysis of clinical trials. *Clinical Trials*, **5**, 225-39](https://scholar.google.de/scholar?q=Higgins+White+Wood+2008+Imputation+methods+Clinical+Trials)\n\n[Rücker G, Schwarzer G, Carpenter JR, Binder H, Schumacher M (2011): Treatment-effect estimates adjusted for small-study effects via a limit meta-analysis. *Biostatistics*, **12**, 122-42](https://scholar.google.de/scholar?q=Rücker+Schwarzer+Carpenter+Binder+Schumacher+2011+Treatment-effect+estimates+adjusted+for+small-study+effects+via+a+limit+meta-analysis)\n\n[Schwarzer G, Carpenter J, Rücker G (2010): Empirical evaluation suggests Copas selection model preferable to trim-and-fill method for selection bias in meta-analysis. *Journal of Clinical Epidemiology*, **63**, 282-88](https://scholar.google.de/scholar?q=Schwarzer+Carpenter+Rücker+2010+Empirical+evaluation+suggests+Copas+selection+model+preferable+to+trim-and-fill+method+for+selection+bias+in+meta-analysis)\n\n[Schwarzer G, Carpenter JR and Rücker G (2015): *Meta-Analysis with R (Use-R!)*. Springer International Publishing, Switzerland](https://link.springer.com/book/10.1007/978-3-319-21416-0)\n\n\n## Installation\n\n### Current official [![CRAN Version](https://www.r-pkg.org/badges/version/metasens)](https://cran.r-project.org/package=metasens) release:\n```r\ninstall.packages(\"metasens\")\n```\n\n### Current [![GitHub develop](https://img.shields.io/badge/develop-1.6--0-purple)](https://img.shields.io/badge/develop-1.6--0-purple) release on GitHub:\n\nInstallation using R package\n[**remotes**](https://cran.r-project.org/package=remotes):\n```r\ninstall.packages(\"remotes\")\nremotes::install_github(\"guido-s/metasens\")\n```\n\n\n### Bug Reports:\n\nYou can report bugs on GitHub under\n[Issues](https://github.com/guido-s/metasens/issues).\n\nor using the R command\n\n```r\nbug.report(package = \"metasens\")\n```\n\n(which is not supported in RStudio).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguido-s%2Fmetasens","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fguido-s%2Fmetasens","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguido-s%2Fmetasens/lists"}