Regression analysis in an illness-death model with interval-censored data: A pseudo-value approach

Camille Sabathé; Per K. Andersen; Catherine Helmer; Thomas A. Gerds; Hélène Jacqmin-Gadda; Pierre Joly

doi:10.1177/0962280219842271

Regression analysis in an illness-death model with interval-censored data: A pseudo-value approach

Camille Sabathé, Per K. Andersen, Catherine Helmer, Thomas A. Gerds, Hélène Jacqmin-Gadda, Pierre Joly

Biostatistisk afdeling

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

15 Citationer (Scopus)

Originalsprog	Engelsk
Tidsskrift	Statistical Methods in Medical Research
Vol/bind	29
Udgave nummer	3
Sider (fra-til)	752-764
Antal sider	13
ISSN	0962-2802
DOI	https://doi.org/10.1177/0962280219842271
Status	Udgivet - 2020

Adgang til dokumentet

10.1177/0962280219842271

Citationsformater

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title = "Regression analysis in an illness-death model with interval-censored data: A pseudo-value approach",

keywords = "Pseudo-values, probability of staying alive and non-demented, restricted mean survival time without dementia, absolute risk, penalised likelihood, interval-censoring",

author = "Camille Sabath{\'e} and Andersen, {Per K.} and Catherine Helmer and Gerds, {Thomas A.} and H{\'e}l{\`e}ne Jacqmin-Gadda and Pierre Joly",

year = "2020",

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language = "English",

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T1 - Regression analysis in an illness-death model with interval-censored data

T2 - A pseudo-value approach

AU - Sabathé, Camille

AU - Andersen, Per K.

AU - Helmer, Catherine

AU - Gerds, Thomas A.

AU - Jacqmin-Gadda, Hélène

AU - Joly, Pierre

PY - 2020

Y1 - 2020

KW - Pseudo-values

KW - probability of staying alive and non-demented

KW - restricted mean survival time without dementia

KW - absolute risk

KW - penalised likelihood

KW - interval-censoring

U2 - 10.1177/0962280219842271

DO - 10.1177/0962280219842271

M3 - Journal article

C2 - 30991888

SN - 0962-2802

VL - 29

SP - 752

EP - 764

JO - Statistical Methods in Medical Research

JF - Statistical Methods in Medical Research

IS - 3

ER -