TY - JOUR
T1 - Non‐random sampling in human genetics
T2 - Estimation of familial correlations, model testing, and interpretation
AU - Chakraborty, Ranajit
AU - Hanis, Craig L.
N1 - Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 1987
Y1 - 1987
N2 - By choice or necessity, human geneticists and genetic epidemiologists often design studies that involve non‐random sampling of clusters of individuals, and yet address hypotheses appropriate to the population as a whole. Failure to adjust for the non‐randomness of data often leads to biased parameter estimates and misspecification of predictive models that cause familial resemblance of traits. We develop an approach to adjust for common forms of non‐randomness in the context of estimating familial correlation with minimal distributional assumptions and discuss its implications in connection with adjustments for concomitant variables.
AB - By choice or necessity, human geneticists and genetic epidemiologists often design studies that involve non‐random sampling of clusters of individuals, and yet address hypotheses appropriate to the population as a whole. Failure to adjust for the non‐randomness of data often leads to biased parameter estimates and misspecification of predictive models that cause familial resemblance of traits. We develop an approach to adjust for common forms of non‐randomness in the context of estimating familial correlation with minimal distributional assumptions and discuss its implications in connection with adjustments for concomitant variables.
KW - Adjustments for concomitants
KW - Genetic epidemiology
KW - Misspecification of parameters
KW - Moment estimator
UR - http://www.scopus.com/inward/record.url?scp=0023373325&partnerID=8YFLogxK
U2 - 10.1002/sim.4780060511
DO - 10.1002/sim.4780060511
M3 - Article
C2 - 3659672
AN - SCOPUS:0023373325
SN - 0277-6715
VL - 6
SP - 629
EP - 646
JO - Statistics in Medicine
JF - Statistics in Medicine
IS - 5
ER -