Excess risk estimation for matched cohort survival data

TY - JOUR

T1 - Excess risk estimation for matched cohort survival data

AU - Boschini, Cristina

AU - Andersen, Klaus K.

AU - Scheike, Thomas H

PY - 2019/11/1

Y1 - 2019/11/1

N2 - We present an excess risk regression model for matched cohort data, where the occurrence of some events for individuals with a disease is compared to that of healthy controls that are matched at the onset-of-disease by various factors. By using the matched structure, we show how to estimate the excess risk and its dependence on covariates on both proportional and additive form. We remove the individual effects on background mortality related to matching factors by considering differences. The model handles two different time scales, namely attained age and follow-up time. First, we solve estimating equations for the non-parametric and parametric components of the excess risk model, providing large sample properties for the suggested estimators. Next, we report results from a simulation study. Lastly, we describe an application of the method on childhood cancer data, to study the excess risk of cardiovascular events in adults' life among childhood cancer survivors.

AB - We present an excess risk regression model for matched cohort data, where the occurrence of some events for individuals with a disease is compared to that of healthy controls that are matched at the onset-of-disease by various factors. By using the matched structure, we show how to estimate the excess risk and its dependence on covariates on both proportional and additive form. We remove the individual effects on background mortality related to matching factors by considering differences. The model handles two different time scales, namely attained age and follow-up time. First, we solve estimating equations for the non-parametric and parametric components of the excess risk model, providing large sample properties for the suggested estimators. Next, we report results from a simulation study. Lastly, we describe an application of the method on childhood cancer data, to study the excess risk of cardiovascular events in adults' life among childhood cancer survivors.

U2 - 10.1177/0962280218804269

DO - 10.1177/0962280218804269

M3 - Journal article

C2 - 30343631

SN - 0962-2802

VL - 28

SP - 3451

EP - 3465

JO - Statistical Methods in Medical Research

JF - Statistical Methods in Medical Research

IS - 10-11

ER -