STATISTICAL MODELING FOR GENETIC EPIDEMIOLOGY

家族性疾病和人类特征的统计学检验 与疾病相关，考虑所研究的表型是否 家族性的，如果有的话，是否有某种遗传机制（例如， 主基因和与已知标记的连锁）是相关的。 这种分析 应该现实地解释不太具体的家庭来源， 共变，如共同环境、文化传播等 具有不可区分影响的因素。 回归模型提供 一个实用的方法，以获得必要的综合模型， 家庭数据。 待处理的回归模型的细节和扩展 不包括简约协变量调整;多个logistic模型 两类以上的质量性状;基因型关联 配对;确定校正;缺失数据;关联和其他 二元问题;方差分量和路径分析模型。 的 统计特性（偏差、一致性、诊断、可能性 表面和似然比检验的稳健性）也将进行研究。

The statistical examination of familial disease, and human traits associated with diseases, considers whether the phenotype under study is familial and, if so, whether some genetic mechanism (e.g. segregation of a major gene and linkage to a known marker) is relevant. Such an analysis should realistically account for less specific sources of familial covariation such as common environment, cultural transmission and other factors with separately indistinguishable effects. Regressive models offer a practical approach to derive the necessary comprehensive models for family data. Details and extensions of the regressive models to be worked out include parsimonious covariate adjustment; multiple logistic models for qualitative traits with more than two categories; association of genotypes of mates; ascertainment corrections; missing data; linkage and other bivariate problems; and variance component and path analytic models. The statistical properties (bias, consistency, diagnostics, likelihood surfaces, and robustness of likelihood ratio tests) will also be studied.