tag:joss.theoj.org,2005:/papers/tagged/Survival%20analysisJournal of Open Source Software2022-10-09T08:17:18ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/36202022-10-09T08:17:18Z2022-10-10T00:01:33ZPyMSM: Python package for Competing Risks and Multi-State models for Survival Dataacceptedv0.1.72022-05-23 16:51:40 UTC782022-10-09 08:17:18 UTC720224566HagaiRossmanDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel, Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel0000-0002-5613-8004AyyaKeshetDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel, Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel0000-0002-1841-7918MalkaGorfineDepartment of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel0000-0002-1577-662410.21105/joss.04566https://doi.org/10.5281/zenodo.7140849Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.04566.pdfmultistate models, survival analysis, competing riskstag:joss.theoj.org,2005:Paper/27562021-08-11T13:49:00Z2022-01-18T12:05:15ZSurPyval: Survival Analysis with Pythonaccepted0.4.02021-06-13 09:16:35 UTC642021-08-11 13:49:00 UTC620213484DerrynKnifeIndependent researcher10.21105/joss.03484https://doi.org/10.5281/zenodo.5177222Pythonhttps://joss.theoj.org/papers/10.21105/joss.03484.pdfsurvival analysis, parameter estimation, censored data, truncated data, maximum likelihood, product spacing estimation, method of moments, mean square error, probability plotting, probability plotting parameter estimationtag:joss.theoj.org,2005:Paper/19912020-10-29T08:53:55Z2021-02-15T11:30:05ZStatAid: An R package with a graphical user interface for data analysisacceptedv1.02020-08-27 14:35:39 UTC542020-10-29 08:53:55 UTC520202630VincentAlcazerCancer Research Center of Lyon, INSERM U1052, Lyon, FRANCE, Hospices Civils de Lyon, Lyon, FRANCE0000-0003-1843-628610.21105/joss.02630https://doi.org/10.5281/zenodo.4152933Rhttps://joss.theoj.org/papers/10.21105/joss.02630.pdfData analysis, Medicine, Science, Survival analysistag:joss.theoj.org,2005:Paper/14142020-08-31T06:20:10Z2021-02-15T11:31:13ZNEEP: null empirically estimated p-values for high-throughput molecular survival analysisacceptedv12019-12-19 17:26:54 UTC522020-08-31 06:20:10 UTC520202044SeanWestSchool of Interdisciplinary Informatics, University of Nebraska at Omaha0000-0002-1394-1999HeshamAliSchool of Interdisciplinary Informatics, University of Nebraska at OmahaDarioGhersiSchool of Interdisciplinary Informatics, University of Nebraska at Omaha0000-0002-0630-084310.21105/joss.02044https://doi.org/10.5281/zenodo.3996816C++, Chttps://joss.theoj.org/papers/10.21105/joss.02044.pdfPython, bioinformatics, survival analysis, RNA-seqtag:joss.theoj.org,2005:Paper/14672020-04-24T19:42:40Z2021-02-15T11:31:02ZBayesMFSurv: An R Package to Estimate Bayesian Split-Population Survival Models With (and Without) Misclassified Failure Eventsaccepted0.2.02020-02-04 01:05:06 UTC482020-04-24 19:42:40 UTC520202164MinnieM.JooDept. of Political Science, University of Massachusetts LowellNicolásSchmidtDept. of Political Science. Universidad de la Republica, UY0000-0001-5083-5792SergioBéjarDept. of Political Science, San Jose State University0000-0002-9352-3892VineetaYadavDept. of Political Science, Pennsylvania State UniversityBumbaMukherjeeDept. of Political Science, Pennsylvania State University10.21105/joss.02164https://doi.org/10.5281/zenodo.3746286R, C++https://joss.theoj.org/papers/10.21105/joss.02164.pdfsurvival analysis, bayesian statisticstag:joss.theoj.org,2005:Paper/12922020-02-13T16:44:28Z2021-02-15T11:31:30ZMatSurv: Survival analysis and visualization in MATLABacceptedv1.0.02019-10-14 17:49:32 UTC462020-02-13 16:44:28 UTC520201830JordanH.CreedMoffitt Cancer Center, Tampa, Florida, United StatesTravisA.GerkeMoffitt Cancer Center, Tampa, Florida, United StatesAndersE.BerglundMoffitt Cancer Center, Tampa, Florida, United States10.21105/joss.01830https://doi.org/10.5281/zenodo.3632122Matlabhttps://joss.theoj.org/papers/10.21105/joss.01830.pdfMATLAB, survival analysistag:joss.theoj.org,2005:Paper/9162019-08-04T17:23:38Z2021-02-15T11:32:27Zlifelines: survival analysis in Pythonaccepted0.20.02019-03-06 19:24:40 UTC402019-08-04 17:23:38 UTC420191317CameronDavidson-PilonIndependent researcher0000-0003-1794-914310.21105/joss.01317https://doi.org/10.5281/zenodo.805993Pythonhttps://joss.theoj.org/papers/10.21105/joss.01317.pdfsurvival analysis, reliability analysis, maximum likelihoodtag:joss.theoj.org,2005:Paper/6112018-11-06T07:04:38Z2021-02-15T11:33:03Zsurvxai: an R package for structure-agnostic explanations of survival modelsaccepted0.2.02018-09-05 08:21:29 UTC312018-11-06 07:04:38 UTC32018961AleksandraGrudziazFaculty of Mathematics and Information Science, Warsaw University of Technology, Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw0000-0002-5963-6260AlicjaGosiewskaFaculty of Mathematics and Information Science, Warsaw University of Technology0000-0001-6563-5742PrzemyslawBiecekFaculty of Mathematics and Information Science, Warsaw University of Technology, Faculty of Mathematics, Informatics, and Mechanics, University of Warsaw0000-0001-8423-182310.21105/joss.00961https://doi.org/10.5281/zenodo.1477857Rhttps://joss.theoj.org/papers/10.21105/joss.00961.pdfsurvival analysis, explainable artificial intelligence, predictive modeling, interpretable machine learningtag:joss.theoj.org,2005:Paper/4432018-04-20T00:20:28Z2021-02-15T11:33:32Zautoplotly: An R package for automatic generation of interactive visualizations for statistical resultsacceptedv0.1.12018-03-20 15:21:27 UTC242018-04-20 00:20:28 UTC32018657YuanTangH2O.ai0000-0001-5243-233X10.21105/joss.00657https://doi.org/10.5281/zenodo.1221391Rhttps://joss.theoj.org/papers/10.21105/joss.00657.pdfinteractive data visualization, statistics, time series, survival analysis, clustering, machine learning