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Stratified Case‐Cohort Analysis of General Cohort Sampling Designs
Author(s) -
SAMUELSEN SVEN OVE,
ÅNESTAD HALLVARD,
SKRONDAL ANDERS
Publication year - 2007
Publication title -
scandinavian journal of statistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.359
H-Index - 65
eISSN - 1467-9469
pISSN - 0303-6898
DOI - 10.1111/j.1467-9469.2006.00552.x
Subject(s) - statistics , estimator , mathematics , stratified sampling , cohort , sampling design , regression , variance (accounting) , regression analysis , econometrics , demography , population , accounting , sociology , business
. It is shown that variance estimates for regression coefficients in exposure‐stratified case‐cohort studies (Borgan et al ., Lifetime Data Anal., 6, 2000, 39–58) can easily be obtained from influence terms routinely calculated in the standard software for Cox regression. By allowing for post‐stratification on outcome we also place the estimators proposed by Chen ( J. R. Statist. Soc. Ser. B , 63, 2001, 791–809) for a general class of cohort sampling designs within the Borgan et al. ’s framework, facilitating simple variance estimation for these designs. Finally, the Chen approach is extended to accommodate stratified designs with surrogate variables available for all cohort members, such as stratified case‐cohort and counter‐matching designs.