Cluster sampling techniques in quantal response teratology and developmental toxicity studies.
Biometrics
; 51(2): 764-76, 1995 Jun.
Article
en En
| MEDLINE
| ID: mdl-7662858
ABSTRACT
This paper presents a model-free approach for evaluating teratology and developmental toxicity data involving clustered binary responses. In teratology studies, a major statistical problem arises from the effect of intralitter correlation, or the potential for littermates to respond similarly. Some statistical methods impose strict distributional assumptions to account for extra-binomial variation, while others rely on nonparametric resampling and empirical variance estimation techniques. Quasi-likelihood methods and generalized estimating equations (GEE), which model the marginal mean/variance relationship, also avoid strict distributional assumptions. The proposed approach, often used to analyze complex sample survey data, is based on a first-order Taylor series approximation and a between-cluster variance estimation procedure, yielding consistent variance estimates for binomial-based proportions and regression coefficients from dose-response models. The cluster sample technique, presented here in the context of a logistic dose-response model, incorporates many of the advantages of quasi-likelihood methods, are valid for any underlying nested correlation structure, and are adaptable to a variety of analytical settings. The results of a simulation study show the cluster sample technique to be a viable competitor to GEE methods currently receiving attention.
Buscar en Google
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Teratógenos
/
Toxicología
/
Análisis por Conglomerados
/
Modelos Estadísticos
Tipo de estudio:
Diagnostic_studies
/
Risk_factors_studies
Límite:
Animals
/
Pregnancy
Idioma:
En
Revista:
Biometrics
Año:
1995
Tipo del documento:
Article
País de afiliación:
Estados Unidos