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Choice of conditional models in bivariate survival.

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Choice of conditional models in bivariate survival. / Henderson, Robin; Prince, Helen.
In: Statistics in Medicine, Vol. 19, No. 4, 29.02.2000, p. 563-574.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Henderson, R & Prince, H 2000, 'Choice of conditional models in bivariate survival.', Statistics in Medicine, vol. 19, no. 4, pp. 563-574. https://doi.org/10.1002/(SICI)1097-0258(20000229)19:4<563::AID-SIM356>3.0.CO;2-K

APA

Henderson, R., & Prince, H. (2000). Choice of conditional models in bivariate survival. Statistics in Medicine, 19(4), 563-574. https://doi.org/10.1002/(SICI)1097-0258(20000229)19:4<563::AID-SIM356>3.0.CO;2-K

Vancouver

Henderson R, Prince H. Choice of conditional models in bivariate survival. Statistics in Medicine. 2000 Feb 29;19(4):563-574. doi: 10.1002/(SICI)1097-0258(20000229)19:4<563::AID-SIM356>3.0.CO;2-K

Author

Henderson, Robin ; Prince, Helen. / Choice of conditional models in bivariate survival. In: Statistics in Medicine. 2000 ; Vol. 19, No. 4. pp. 563-574.

Bibtex

@article{db92564b35904b5ba58e7aee478d9cef,
title = "Choice of conditional models in bivariate survival.",
abstract = "We consider bivariate survival problems in which interest is in the conditional distribution of one survival variable given an uncensored observation of the other. The work is motivated by an analysis of time to cancer diagnosis then subsequent survival amongst a group of organ transplant recipients. The effect of conditioning is illustrated for five standard bivariate models. The consequences of adopting a misspecified marginal approach in which the conditioning variable is considered to be a fixed covariate are investigated.",
author = "Robin Henderson and Helen Prince",
year = "2000",
month = feb,
day = "29",
doi = "10.1002/(SICI)1097-0258(20000229)19:4<563::AID-SIM356>3.0.CO;2-K",
language = "English",
volume = "19",
pages = "563--574",
journal = "Statistics in Medicine",
issn = "1097-0258",
publisher = "John Wiley and Sons Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Choice of conditional models in bivariate survival.

AU - Henderson, Robin

AU - Prince, Helen

PY - 2000/2/29

Y1 - 2000/2/29

N2 - We consider bivariate survival problems in which interest is in the conditional distribution of one survival variable given an uncensored observation of the other. The work is motivated by an analysis of time to cancer diagnosis then subsequent survival amongst a group of organ transplant recipients. The effect of conditioning is illustrated for five standard bivariate models. The consequences of adopting a misspecified marginal approach in which the conditioning variable is considered to be a fixed covariate are investigated.

AB - We consider bivariate survival problems in which interest is in the conditional distribution of one survival variable given an uncensored observation of the other. The work is motivated by an analysis of time to cancer diagnosis then subsequent survival amongst a group of organ transplant recipients. The effect of conditioning is illustrated for five standard bivariate models. The consequences of adopting a misspecified marginal approach in which the conditioning variable is considered to be a fixed covariate are investigated.

U2 - 10.1002/(SICI)1097-0258(20000229)19:4<563::AID-SIM356>3.0.CO;2-K

DO - 10.1002/(SICI)1097-0258(20000229)19:4<563::AID-SIM356>3.0.CO;2-K

M3 - Journal article

VL - 19

SP - 563

EP - 574

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 1097-0258

IS - 4

ER -