论文信息 - Testing familial aggregation.

Testing familial aggregation.

Likelihood calculation for pedigrees is complicated and often time-consuming. Testing correlation structures due to familial aggregation is therefore a preliminary procedure. A score statistic is given to check correlations between relatives of randomly chosen pedigrees. This statistic can be used for quantitative and dichotomous data. For both data types, the distribution of the statistic under the null hypothesis is derived. To demonstrate the performance of the statistic, results of simulations under various models are given. Finally, the test is applied to data on a continuous blood factor.

[1] M. Kendall,et al. The advanced theory of statistics , 1945 .

[2] Regina C. Elandt-Johnson,et al. Probability models and statistical methods in genetics , 1972 .

[3] R. Elston,et al. A general model for the genetic analysis of pedigree data. , 1971, Human heredity.

[4] P. McCullagh,et al. Generalized Linear Models , 1984 .

[5] G. Bonney,et al. On the statistical determination of major gene mechanisms in continuous human traits: regressive models. , 1984, American journal of medical genetics.

[6] E. Thompson. Pedigree Analysis in Human Genetics , 1985 .

[7] G. Bonney,et al. Regressive logistic models for familial disease and other binary traits. , 1986, Biometrics.

[8] Genetic epidemiology: a review of the statistical basis. , 1986, Statistics in medicine.

[9] P. McCullagh,et al. Generalized Linear Models , 1992 .

[10] J. C. van Houwelingen,et al. A goodness-of-fit test for binary regression models, based on smoothing methods , 1991 .

[11] H C van Houwelingen,et al. Testing the fit of a regression model via score tests in random effects models. , 1995, Biometrics.

[12] S. le Cessie,et al. Testing the fit of a regression model via score tests in random effects models. , 1995 .