Titlebook: Regression Methods in Biostatistics; Linear, Logistic, Su Eric Vittinghoff,Stephen C. Shiboski,Charles E. Mc Book 20051st edition Springer-

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Repeated Measures and Longitudinal Data Analysis,y to tuberculosis is measured in family members. All of these are examples of what is called repeated measures data or hierarchical or clustered data. Such data structures are quite common in medical research and a multitude of other fields.

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Generalized Linear Models, in newborns is exposure to light. Yet the cost of this (mainly because of longer hospital stays) was estimated as long ago as 1984 at over $600 per infant. Predictors of the cost include race, gestational age, and birthweight

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Linear Regression,, factors which are also strongly associated with CHD risk. Increasing body mass index (BMI) predicts higher levels of hemoglobin .., a marker for poor control of glucose levels; however, older age and ethnic background also predict higher ..

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Complex Surveys,is would make it difficult to generalize sample diabetes prevalence to the broader target population. We might be more comfortable assuming that sample associations between risk factors and diabetes were valid for the broader population, but the assumption would be hard to check (Problem 10.1)

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