Bias correction for segregation ratio estimation in human genetics.
Biometrics
; 56(3): 795-800, 2000 Sep.
Article
em En
| MEDLINE
| ID: mdl-10985218
ABSTRACT
Segregation ratio estimation has long been important in human genetics. A simple truncated binomial model is considered that assumes complete ascertainment and a deterministic genotype-phenotype relationship. A simple but intuitively appealing estimator of the segregation ratio, previously proposed, is shown to have a negative bias. It is also shown that the bias of this estimator can be largely reduced via a randomization device, resulting in a new estimator that has the same large-sample behavior but with a negligible bias (decaying at a geometric rate). Numerical results are given to show the small-sample performance of this new estimator. An extension to incomplete ascertainment is also considered.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Modelos Estatísticos
/
Genética Médica
/
Modelos Genéticos
Tipo de estudo:
Clinical_trials
/
Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2000
Tipo de documento:
Article