SmoothHazard: An R package for fitting regression models to interval-censored observations of illness-death models

Research output: Contribution to journalJournal articleResearchpeer-review

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SmoothHazard : An R package for fitting regression models to interval-censored observations of illness-death models. / Touraine, Célia; Gerds, Thomas A.; Joly, Pierre.

In: Journal of Statistical Software, Vol. 79, No. 7, 07.2017, p. 1-22.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Touraine, C, Gerds, TA & Joly, P 2017, 'SmoothHazard: An R package for fitting regression models to interval-censored observations of illness-death models', Journal of Statistical Software, vol. 79, no. 7, pp. 1-22. https://doi.org/10.18637/jss.v079.i07

APA

Touraine, C., Gerds, T. A., & Joly, P. (2017). SmoothHazard: An R package for fitting regression models to interval-censored observations of illness-death models. Journal of Statistical Software, 79(7), 1-22. https://doi.org/10.18637/jss.v079.i07

Vancouver

Touraine C, Gerds TA, Joly P. SmoothHazard: An R package for fitting regression models to interval-censored observations of illness-death models. Journal of Statistical Software. 2017 Jul;79(7):1-22. https://doi.org/10.18637/jss.v079.i07

Author

Touraine, Célia ; Gerds, Thomas A. ; Joly, Pierre. / SmoothHazard : An R package for fitting regression models to interval-censored observations of illness-death models. In: Journal of Statistical Software. 2017 ; Vol. 79, No. 7. pp. 1-22.

Bibtex

@article{730c2267b16c48e28f6a850d86896610,
title = "SmoothHazard: An R package for fitting regression models to interval-censored observations of illness-death models",
abstract = "The irreversible illness-death model describes the pathway from an initial state to an absorbing state either directly or through an intermediate state. This model is frequently used in medical applications where the intermediate state represents illness and the absorbing state represents death. In many studies, disease onset times are not known exactly. This happens for example if the disease status of a patient can only be assessed at follow-up visits. In this situation the disease onset times are interval-censored. This article presents the SmoothHazard package for R. It implements algorithms for simultaneously fitting regression models to the three transition intensities of an illness-death model where the transition times to the intermediate state may be interval-censored and all the event times can be right-censored. The package parses the individual data structure of the subjects in a data set to find the individual contributions to the likelihood. The three baseline transition intensity functions are modelled by Weibull distributions or alternatively by M-splines in a semi-parametric approach. For a given set of covariates, the estimated transition intensities can be combined into predictions of cumulative event probabilities and life expectancies.",
keywords = "Illness-death model, Interval-censored data, Left-truncated data, M-splines, Penalized likelihood, Smooth transition intensities, Survival model, Weibull",
author = "C{\'e}lia Touraine and Gerds, {Thomas A.} and Pierre Joly",
year = "2017",
month = "7",
doi = "10.18637/jss.v079.i07",
language = "English",
volume = "79",
pages = "1--22",
journal = "Journal of Statistical Software",
issn = "1548-7660",
publisher = "The Foundation for Open Access Statistics",
number = "7",

}

RIS

TY - JOUR

T1 - SmoothHazard

T2 - An R package for fitting regression models to interval-censored observations of illness-death models

AU - Touraine, Célia

AU - Gerds, Thomas A.

AU - Joly, Pierre

PY - 2017/7

Y1 - 2017/7

N2 - The irreversible illness-death model describes the pathway from an initial state to an absorbing state either directly or through an intermediate state. This model is frequently used in medical applications where the intermediate state represents illness and the absorbing state represents death. In many studies, disease onset times are not known exactly. This happens for example if the disease status of a patient can only be assessed at follow-up visits. In this situation the disease onset times are interval-censored. This article presents the SmoothHazard package for R. It implements algorithms for simultaneously fitting regression models to the three transition intensities of an illness-death model where the transition times to the intermediate state may be interval-censored and all the event times can be right-censored. The package parses the individual data structure of the subjects in a data set to find the individual contributions to the likelihood. The three baseline transition intensity functions are modelled by Weibull distributions or alternatively by M-splines in a semi-parametric approach. For a given set of covariates, the estimated transition intensities can be combined into predictions of cumulative event probabilities and life expectancies.

AB - The irreversible illness-death model describes the pathway from an initial state to an absorbing state either directly or through an intermediate state. This model is frequently used in medical applications where the intermediate state represents illness and the absorbing state represents death. In many studies, disease onset times are not known exactly. This happens for example if the disease status of a patient can only be assessed at follow-up visits. In this situation the disease onset times are interval-censored. This article presents the SmoothHazard package for R. It implements algorithms for simultaneously fitting regression models to the three transition intensities of an illness-death model where the transition times to the intermediate state may be interval-censored and all the event times can be right-censored. The package parses the individual data structure of the subjects in a data set to find the individual contributions to the likelihood. The three baseline transition intensity functions are modelled by Weibull distributions or alternatively by M-splines in a semi-parametric approach. For a given set of covariates, the estimated transition intensities can be combined into predictions of cumulative event probabilities and life expectancies.

KW - Illness-death model

KW - Interval-censored data

KW - Left-truncated data

KW - M-splines

KW - Penalized likelihood

KW - Smooth transition intensities

KW - Survival model

KW - Weibull

UR - http://www.scopus.com/inward/record.url?scp=85025130857&partnerID=8YFLogxK

U2 - 10.18637/jss.v079.i07

DO - 10.18637/jss.v079.i07

M3 - Journal article

AN - SCOPUS:85025130857

VL - 79

SP - 1

EP - 22

JO - Journal of Statistical Software

JF - Journal of Statistical Software

SN - 1548-7660

IS - 7

ER -

ID: 196736664