title: Estimating the unbiased estimator theta for population genetic survey data.
abstract: We consider a method of approximating Weir and Cockerham's theta, an unbiased estimator of genetic population structure, using values readily available from published studies using biased estimators (Wright's F(ST) or Nei's G(ST)). The estimation algorithm is shown to be useful for both model populations and real-world avian populations. However, the correlation between Wright's F(ST) and Weir and Cockerham's theta is strong when compared among 39 empirical avian datasets. Thus, the advantage of approximating an unbiased estimator is unclear considering the small actual effect of theta's bias-removing power on empirical datasets.
authors.affiliation: University of Alaska Museum, Fairbanks, 99775-6960, USA. weicker@post.harvard.edu
authors.forename: J J
authors.initials: JJ
authors.lastname: Weicker
authors.forename: R T
authors.initials: RT
authors.lastname: Brumfield
authors.forename: K
authors.initials: K
authors.lastname: Winker
mesh_terms: D000818:Animals; D015982:Bias; D016001:Confidence Intervals; D005828:Genetics, Population; D008957:Models, Genetic; D015233:Models, Statistical; D010944:Plants / Q000235:genetics; D015203:Reproducibility of Results; D012107:Research Design