RT Journal Article
T1 DTDA: An R Package to Analyze Randomly Truncated Data
A1 Moreira, Carla
A1 Uña Álvarez, Jacobo de
A1 Crujeiras Casais, Rosa María
K1 Double truncation
K1 Nonparametric maximum likelihood
K1 Observational bias
K1 Survival analysis
AB 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
PB Foundation for Open Access Statistics
SN 1548-7660
YR 2010
FD 2010
LK http://hdl.handle.net/10347/18533
UL http://hdl.handle.net/10347/18533
LA eng
NO 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
NO 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/60262/2009Grant 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)
DS Minerva
RD 22 abr 2026