Matched survival data in a co-twin control design

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Standard

Matched survival data in a co-twin control design. / Gerster, Mette; Madsen, Mia; Andersen, Per Kragh.

I: Lifetime Data Analysis, Bind 20, Nr. 1, 01.2014, s. 38-50.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Gerster, M, Madsen, M & Andersen, PK 2014, 'Matched survival data in a co-twin control design', Lifetime Data Analysis, bind 20, nr. 1, s. 38-50. https://doi.org/10.1007/s10985-013-9256-6

APA

Gerster, M., Madsen, M., & Andersen, P. K. (2014). Matched survival data in a co-twin control design. Lifetime Data Analysis, 20(1), 38-50. https://doi.org/10.1007/s10985-013-9256-6

Vancouver

Gerster M, Madsen M, Andersen PK. Matched survival data in a co-twin control design. Lifetime Data Analysis. 2014 jan.;20(1):38-50. https://doi.org/10.1007/s10985-013-9256-6

Author

Gerster, Mette ; Madsen, Mia ; Andersen, Per Kragh. / Matched survival data in a co-twin control design. I: Lifetime Data Analysis. 2014 ; Bind 20, Nr. 1. s. 38-50.

Bibtex

@article{07f6ba4a71a243219ae883b49f8e695f,
title = "Matched survival data in a co-twin control design",
abstract = "When using the co-twin control design for analysis of event times, one needs a model to address the possible within-pair association. One such model is the shared frailty model in which the random frailty variable creates the desired within-pair association. Standard inference for this model requires independence between the random effect and the covariates. We study how violations of this assumption affect inference for the regression coefficients and conclude that substantial bias may occur. We propose an alternative way of making inference for the regression parameters by using a fixed-effects models for survival in matched pairs. Fitting this model to data generated from the frailty model provides consistent and asymptotically normal estimates of regression coefficients, no matter whether the independence assumption is met.",
keywords = "Bias (Epidemiology), Computer Simulation, Humans, Models, Statistical, Research Design, Twin Studies as Topic",
author = "Mette Gerster and Mia Madsen and Andersen, {Per Kragh}",
year = "2014",
month = jan,
doi = "10.1007/s10985-013-9256-6",
language = "English",
volume = "20",
pages = "38--50",
journal = "Lifetime Data Analysis",
issn = "1380-7870",
publisher = "Springer",
number = "1",

}

RIS

TY - JOUR

T1 - Matched survival data in a co-twin control design

AU - Gerster, Mette

AU - Madsen, Mia

AU - Andersen, Per Kragh

PY - 2014/1

Y1 - 2014/1

N2 - When using the co-twin control design for analysis of event times, one needs a model to address the possible within-pair association. One such model is the shared frailty model in which the random frailty variable creates the desired within-pair association. Standard inference for this model requires independence between the random effect and the covariates. We study how violations of this assumption affect inference for the regression coefficients and conclude that substantial bias may occur. We propose an alternative way of making inference for the regression parameters by using a fixed-effects models for survival in matched pairs. Fitting this model to data generated from the frailty model provides consistent and asymptotically normal estimates of regression coefficients, no matter whether the independence assumption is met.

AB - When using the co-twin control design for analysis of event times, one needs a model to address the possible within-pair association. One such model is the shared frailty model in which the random frailty variable creates the desired within-pair association. Standard inference for this model requires independence between the random effect and the covariates. We study how violations of this assumption affect inference for the regression coefficients and conclude that substantial bias may occur. We propose an alternative way of making inference for the regression parameters by using a fixed-effects models for survival in matched pairs. Fitting this model to data generated from the frailty model provides consistent and asymptotically normal estimates of regression coefficients, no matter whether the independence assumption is met.

KW - Bias (Epidemiology)

KW - Computer Simulation

KW - Humans

KW - Models, Statistical

KW - Research Design

KW - Twin Studies as Topic

U2 - 10.1007/s10985-013-9256-6

DO - 10.1007/s10985-013-9256-6

M3 - Journal article

C2 - 23864289

VL - 20

SP - 38

EP - 50

JO - Lifetime Data Analysis

JF - Lifetime Data Analysis

SN - 1380-7870

IS - 1

ER -

ID: 135437326