Titlebook: Methodology for Genetic Studies of Twins and Families; Michael C. Neale,Lon R. Cardon Book 1992 Springer Science+Business Media Dordrecht

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LISREL Models and Methods,ful in the long run, it is not strictly prerequisite for the LISREL applications in this book. It provides a valuable reference section and guide to the statistical theory behind applied model-fitting, especially in conjunction with our first application of the package in Section 8.4. The less mathe

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Model Fitting Functions and Optimization,e fitting functions in greater detail, and with special emphasis on the genetic analysis of twin data. We also discuss how the fitting functions are used to generate optimal estimates of genetic parameters in the twin design. Again, understanding of these issues is not essential for the use of LISRE

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Univariate Analysis,aders to apply the models to their own data, and deepen their understanding of both the scope and the limitations of the method. The first example concerns body mass index (BMI), a widely used measure of obesity, and Section 8.2 describes how we obtained and summarized these data. In Section 8.3 we

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,Sex-limitation and G × E Interaction,sex MZ and DZ twin data. When data are available from both male and female twin pairs, an investigator may be interested in asking whether the variance profile of a trait is similar across the sexes or whether the magnitude of genetic and environmental influences are sex-dependent. To address this i

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Multivariate Analysis,e relevant sources of genetic and environmental . each variable separately. Most studies, however, are not designed to consider single variables, but are trying to understand what factors make sets of variables correlate, or ., to a greater or lesser extent. Just as we can partition variation into i

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Repeated Measures,ntake measured over several days or weeks; blood pressure taken under different conditions of rest and stress; psychophysiological data such as EEG that may be sampled with frequencies of 100 Hz or more (i.e., 100 times per second); performance measured during learning experiments; IQ measures taken

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Longitudinal Mean Trends,y a similar change in means. Although we said in the first chapter that inferences about means are not the primary focus of the study of individual differences, the longitudinal study is one in which changes in mean over time or ., is of itself of considerable interest. This Chapter is not the first