Determining disease prevalence from incidence and survival using simulation techniques

TY - JOUR

T1 - Determining disease prevalence from incidence and survival using simulation techniques

AU - Crouch, Simon

AU - Smith, Alexandra Gwen

AU - Painter, Dan

AU - Li, Jinlei

AU - Roman, Eve

N1 - Copyright © 2014 Elsevier Ltd. All rights reserved.

PY - 2014/3/18

Y1 - 2014/3/18

N2 - We present a new method for determining prevalence estimates together with estimates of their precision, from incidence and survival data using Monte-Carlo simulation techniques. The algorithm also provides for the incidence process to be marked with the values of subject level covariates, facilitating calculation of the distribution of these variables in prevalent cases.

AB - We present a new method for determining prevalence estimates together with estimates of their precision, from incidence and survival data using Monte-Carlo simulation techniques. The algorithm also provides for the incidence process to be marked with the values of subject level covariates, facilitating calculation of the distribution of these variables in prevalent cases.

U2 - 10.1016/j.canep.2014.02.005

DO - 10.1016/j.canep.2014.02.005

M3 - Article

C2 - 24656754

SN - 1877-7821

VL - 38

SP - 193

EP - 199

JO - Cancer Epidemiology

JF - Cancer Epidemiology

IS - 2

ER -