TY - JOUR
T1 - Nonrandom sampling in genetic epidemiology
T2 - An implementation of the Hanis‐Chakraborty method for multifactorial analysis
AU - Rao, D. C.
AU - Wette, R.
AU - Chakraborty, Ranajit
PY - 1989
Y1 - 1989
N2 - The method of Hanis and Chakraborty: [Statistics in Medicine 6:629–646, 1987] is known to yield unbiased estimates of familial correlations from family data ascertained according to just about any method of nonrandom sampling. For multifactorial analysis of such family data, the method is implemented here so as to provide a unique solution, handle variable sibship sizes, and provide likelihood ratio tests of hypotheses. Simulation results are presented to illustrate the utility of the proposed implementation.
AB - The method of Hanis and Chakraborty: [Statistics in Medicine 6:629–646, 1987] is known to yield unbiased estimates of familial correlations from family data ascertained according to just about any method of nonrandom sampling. For multifactorial analysis of such family data, the method is implemented here so as to provide a unique solution, handle variable sibship sizes, and provide likelihood ratio tests of hypotheses. Simulation results are presented to illustrate the utility of the proposed implementation.
KW - correlations
KW - path analysis
UR - http://www.scopus.com/inward/record.url?scp=0024339169&partnerID=8YFLogxK
U2 - 10.1002/gepi.1370060308
DO - 10.1002/gepi.1370060308
M3 - Article
C2 - 2753354
AN - SCOPUS:0024339169
SN - 0741-0395
VL - 6
SP - 461
EP - 470
JO - Genetic Epidemiology
JF - Genetic Epidemiology
IS - 3
ER -