Clustered survival data with left-truncation

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Clustered survival data with left-truncation. / Eriksson, Frank; Martinussen, Torben; Scheike, Thomas H.

In: Scandinavian Journal of Statistics, Vol. 42, No. 4, 12.2015, p. 1149–1166.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Eriksson, F, Martinussen, T & Scheike, TH 2015, 'Clustered survival data with left-truncation', Scandinavian Journal of Statistics, vol. 42, no. 4, pp. 1149–1166. https://doi.org/10.1111/sjos.12157

APA

Eriksson, F., Martinussen, T., & Scheike, T. H. (2015). Clustered survival data with left-truncation. Scandinavian Journal of Statistics, 42(4), 1149–1166. https://doi.org/10.1111/sjos.12157

Vancouver

Eriksson F, Martinussen T, Scheike TH. Clustered survival data with left-truncation. Scandinavian Journal of Statistics. 2015 Dec;42(4):1149–1166. https://doi.org/10.1111/sjos.12157

Author

Eriksson, Frank ; Martinussen, Torben ; Scheike, Thomas H. / Clustered survival data with left-truncation. In: Scandinavian Journal of Statistics. 2015 ; Vol. 42, No. 4. pp. 1149–1166.

Bibtex

@article{92a605e77d99488a8dbf621e745df524,
title = "Clustered survival data with left-truncation",
abstract = "Left-truncation occurs frequently in survival studies, and it is well known how to deal with this for univariate survival times. However, there are few results on how to estimate dependence parameters and regression effects in semiparametric models for clustered survival data with delayed entry. Surprisingly, existing methods only deal with special cases. In this paper, we clarify different kinds of left-truncation and suggest estimators for semiparametric survival models under specific truncation schemes. The large-sample properties of the estimators are established. Small-sample properties are investigated via simulation studies, and the suggested estimators are used in a study of prostate cancer based on the Finnish twin cohort where a twin pair is included only if both twins were alive in 1974.",
keywords = "Clustered data, Counting process, Delayed entry, Frailty, Left-truncation, Survival, Twin register, Two-stage",
author = "Frank Eriksson and Torben Martinussen and Scheike, {Thomas H.}",
year = "2015",
month = dec,
doi = "10.1111/sjos.12157",
language = "English",
volume = "42",
pages = "1149–1166",
journal = "Scandinavian Journal of Statistics",
issn = "0303-6898",
publisher = "Wiley-Blackwell",
number = "4",

}

RIS

TY - JOUR

T1 - Clustered survival data with left-truncation

AU - Eriksson, Frank

AU - Martinussen, Torben

AU - Scheike, Thomas H.

PY - 2015/12

Y1 - 2015/12

N2 - Left-truncation occurs frequently in survival studies, and it is well known how to deal with this for univariate survival times. However, there are few results on how to estimate dependence parameters and regression effects in semiparametric models for clustered survival data with delayed entry. Surprisingly, existing methods only deal with special cases. In this paper, we clarify different kinds of left-truncation and suggest estimators for semiparametric survival models under specific truncation schemes. The large-sample properties of the estimators are established. Small-sample properties are investigated via simulation studies, and the suggested estimators are used in a study of prostate cancer based on the Finnish twin cohort where a twin pair is included only if both twins were alive in 1974.

AB - Left-truncation occurs frequently in survival studies, and it is well known how to deal with this for univariate survival times. However, there are few results on how to estimate dependence parameters and regression effects in semiparametric models for clustered survival data with delayed entry. Surprisingly, existing methods only deal with special cases. In this paper, we clarify different kinds of left-truncation and suggest estimators for semiparametric survival models under specific truncation schemes. The large-sample properties of the estimators are established. Small-sample properties are investigated via simulation studies, and the suggested estimators are used in a study of prostate cancer based on the Finnish twin cohort where a twin pair is included only if both twins were alive in 1974.

KW - Clustered data

KW - Counting process

KW - Delayed entry

KW - Frailty

KW - Left-truncation

KW - Survival

KW - Twin register

KW - Two-stage

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-84955175795&origin=resultslist&sort=plf-f&src=s&st1=Clustered+survival+data+with+left-truncation&st2=&sid=585E35A0C04F7273A6DD431668059E13.aXczxbyuHHiXgaIW6Ho7g%3a10&sot=b&sdt=b&sl=51&s=TITLE%28Clustered+survival+data+with+left-truncation%29&relpos=0&citeCnt=0&searchTerm=

U2 - 10.1111/sjos.12157

DO - 10.1111/sjos.12157

M3 - Journal article

VL - 42

SP - 1149

EP - 1166

JO - Scandinavian Journal of Statistics

JF - Scandinavian Journal of Statistics

SN - 0303-6898

IS - 4

ER -

ID: 140565287