tag:joss.theoj.org,2005:/papers/tagged/SurvivalJournal 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/38032022-09-28T10:38:23Z2022-09-29T00:00:52Zaorsf: An R package for supervised learning using the oblique random survival forestaccepted0.0.12022-08-06 17:43:51 UTC772022-09-28 10:38:23 UTC720224705ByronC.JaegerWake Forest University School of Medicine0000-0001-7399-2299SawyerWeldenWake Forest University School of MedicineKristinLenoirWake Forest University School of MedicineNicholasM.PajewskiWake Forest University School of Medicine10.21105/joss.04705https://doi.org/10.5281/zenodo.7116855R, C++https://joss.theoj.org/papers/10.21105/joss.04705.pdfmachine learning, supervised learning, survival, random foresttag:joss.theoj.org,2005:Paper/25662021-12-10T21:14:14Z2022-01-05T20:11:43Zmorse: an R-package to analyse toxicity test dataaccepted3.3.12021-04-09 19:05:42 UTC682021-12-10 21:14:14 UTC620213200VirgileBaudrotUniversity of Lyon, University Lyon 1, CNRS UMR5558, Laboratory de Biometry and Evolutionary Biology, 69100 Villeurbanne, France.SandrineCharlesUniversity of Lyon, University Lyon 1, CNRS UMR5558, Laboratory de Biometry and Evolutionary Biology, 69100 Villeurbanne, France., Corresponding author ([email](mailto:sandrine.charles@univ-lyon1.fr?subject=morse))0000-0003-4604-016610.21105/joss.03200https://doi.org/10.5281/zenodo.5771022R, Lua, Chttps://joss.theoj.org/papers/10.21105/joss.03200.pdfecotoxicology, dataviz, dose-response, GUTS, TKTD, Bayesian inference, Survival, Reproductiontag: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/9842019-08-23T16:13:49Z2021-02-15T11:32:13ZsurvPen: an R package for hazard and excess hazard modelling with multidimensional penalized splinesacceptedv1.1.02019-05-03 09:31:16 UTC402019-08-23 16:13:49 UTC420191434MathieuFauvernierHospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique - Bioinformatique, Lyon, France, Université de Lyon; Université Lyon 1; CNRS; UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Villeurbanne, France0000-0002-3809-8248LaurentRemontetHospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique - Bioinformatique, Lyon, France, Université de Lyon; Université Lyon 1; CNRS; UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Villeurbanne, FranceZoéUhryHospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique - Bioinformatique, Lyon, France, Université de Lyon; Université Lyon 1; CNRS; UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Villeurbanne, France, Département des Maladies Non-Transmissibles et des Traumatismes, Santé Publique France, Saint-Maurice, FranceNadineBossardHospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique - Bioinformatique, Lyon, France, Université de Lyon; Université Lyon 1; CNRS; UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Villeurbanne, FranceLaurentRocheHospices Civils de Lyon, Pôle Santé Publique, Service de Biostatistique - Bioinformatique, Lyon, France, Université de Lyon; Université Lyon 1; CNRS; UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Équipe Biostatistique-Santé, Villeurbanne, France10.21105/joss.01434https://doi.org/10.5281/zenodo.3372656Rhttps://joss.theoj.org/papers/10.21105/joss.01434.pdfsurvival, time-to-event, excess hazard, penalized splinestag: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 likelihood