msSurv specifications

Information


Unique identifier OMICS_15799
Name msSurv
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages R
Computer skills Advanced
Version 1.2-2
Stability Stable
Requirements
methods, lattice, graph, class, Rgraphviz, R(≥2.0), KMsurv
Source code URL https://cran.r-project.org/src/contrib/msSurv_1.2-2.tar.gz
Maintained Yes

Versioning


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Maintainer


  • person_outline Somnath Datta <>

Publication for msSurv

msSurv in publications

 (3)
PMCID: 4791973
PMID: 26976388
DOI: 10.1186/s12911-016-0270-y

[…] the number ‘at-risk’ of making the i → j transition). non-parametric estimates of the conditional transition probabilities were then obtained using the aalen-johansen estimator with the r package mssurv [, ]. parametric estimates were obtained by first fitting time-dependent cox regression models to each of the possible transition hazards outlined in fig. . these estimates of the transition […]

PMCID: 4619267
PMID: 26498223
DOI: 10.1186/s12889-015-2408-8

[…] with the increasing attention on multi-state modelling of event-history data, more and more software packages have been made available, especially in r []; for example the mstate [], msm [] and mssurv [] packages. see the latter, or the books of beyersmann et al. [] and willekens [], for detailed overviews of available r packages. the computations in this paper has been performed in r using […]

PMCID: 3269825
PMID: 22029846
DOI: 10.1186/1471-2288-11-144

[…] an estimate of the variance which has been shown to be suboptimal []. alternative r packages which can handle left-truncated data and use the greenwood-type estimate of the variance include etm [], mssurv [], and mstate []. these are specialized packages for multi-state models, of which competing risks is a special case. however, only the cmprsk package includes test statsitics [] for comparing […]


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msSurv institution(s)
Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville, KY, USA

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