Estimating Genotype Relative Risks in Case-Parental Control Studies: An Optimal Weighting Approach
Author(s) -
WenChung Lee,
ChiaHsuin Chang
Publication year - 2000
Publication title -
american journal of epidemiology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 2.33
H-Index - 256
eISSN - 1476-6256
pISSN - 0002-9262
DOI - 10.1093/aje/152.5.487
Subject(s) - estimator , weighting , statistics , monte carlo method , mathematics , econometrics , genotype , computer science , medicine , genetics , biology , gene , radiology
The "case-parental control study" is a novel study design. It can quantify the relations between candidate genes and disease risk. Previous authors have proposed noniterative methods for estimating "genotype relative risks" (GRRs) in case-parental control studies. Here the authors propose yet another noniterative method. The new method is simple. It involves taking certain weighted averages with weights chosen according to one's educated guess about the likely values of the true GRRs. Monte Carlo simulation shows that the new estimators are approximately unbiased and that they have smaller variances than the previous estimators.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom