DTDA: An R Package to Analyze Randomly Truncated Data
| dc.contributor.affiliation | Universidade de Santiago de Compostela. Departamento de Estatística e Investigación Operativa | gl |
| dc.contributor.author | Moreira, Carla | |
| dc.contributor.author | Uña Álvarez, Jacobo de | |
| dc.contributor.author | Crujeiras Casais, Rosa María | |
| dc.date.accessioned | 2019-04-04T08:10:14Z | |
| dc.date.available | 2019-04-04T08:10:14Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | In this paper, the R package DTDA for analyzing truncated data is described. This package contains tools for performing three different but related algorithms to compute the nonparametric maximum likelihood estimator of the survival function in the presence of random truncation. More precisely, the package implements the algorithms proposed by Efron and Petrosian (1999) and Shen (2008), for analyzing randomly one-sided and two-sided (i.e., doubly) truncated data. These algorithms and some recent extensions are briefly reviewed. Two real data sets are used to show how DTDA package works in practice | gl |
| dc.description.peerreviewed | SI | gl |
| dc.description.sponsorship | Work supported from Spanish Ministerio de Ciencia e Innovación by the research Grants MTM2008-03129 and MTM2008-03010, by the Xunta de Galicia Grant PGIDIT07PXIB300191PR and SFRH/BD/60262/2009 Grant of Portuguese Fundação Ciência e Tecnologia. The authors are also grateful to the Xunta de Galicia for financial support under the INBIOMED project, (DXPCTSUG, Ref. 2009/063) | gl |
| dc.identifier.citation | Moreira, C., de Uña-Álvarez, J., & Crujeiras, R. (2010). DTDA: An R Package to Analyze Randomly Truncated Data. Journal of Statistical Software, 37(7), 1 - 20. doi:http://dx.doi.org/10.18637/jss.v037.i07 | gl |
| dc.identifier.doi | 10.18637/jss.v037.i07 | |
| dc.identifier.issn | 1548-7660 | |
| dc.identifier.uri | http://hdl.handle.net/10347/18533 | |
| dc.language.iso | eng | gl |
| dc.publisher | Foundation for Open Access Statistics | gl |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN/Plan Nacional de I+D+i 2008-2011/MTM2008-03010/ES/METODOLOGIA Y APLICACIONES EN ESTADISTICA SEMIPARAMETRICA, FUNCIONAL Y ESPACIO TEMPORAL | |
| dc.relation.projectID | info:eu-repo/grantAgreement/MICINN/Plan Nacional de I+D+i 2008-2011/MTM2008-03129 /ES/INFERENCIA ESTADISTICA FLEXIBLE: AVANCES METODOLOGICOS Y NUEVAS APLICACIONES A LA INGENIERIA, LA ECONOMIA, Y LAS CIENCIAS BIOMEDICAS | |
| dc.relation.projectID | info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F60262%2F2009/PT | |
| dc.relation.publisherversion | https://doi.org/10.18637/jss.v037.i07 | gl |
| dc.rights | This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License | gl |
| dc.rights.accessRights | open access | gl |
| dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | |
| dc.subject | Double truncation | gl |
| dc.subject | Nonparametric maximum likelihood | gl |
| dc.subject | Observational bias | gl |
| dc.subject | Survival analysis | gl |
| dc.title | DTDA: An R Package to Analyze Randomly Truncated Data | gl |
| dc.type | journal article | gl |
| dc.type.hasVersion | VoR | gl |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 72f92664-9a3d-4ef9-8d09-f35c21b9454e | |
| relation.isAuthorOfPublication.latestForDiscovery | 72f92664-9a3d-4ef9-8d09-f35c21b9454e |
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