Titlebook: Regression Modeling Strategies; With Applications to Frank E. Harrell Textbook 20011st edition Springer-Verlag New York 2001 Analysis.Excel

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Parametric Survival Models,The nonparametric estimator of .(.) is a very good descriptive statistic for displaying survival data. For many purposes, however, one may want to make more assumptions to allow the data to be modeled in more detail. By specifying a functional form for .(.) and estimating any unknown parameters in this function, one can

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Frank E. HarrellWritten by a well-known biostatistical researcher and expert on S-Plus.Provides full-scale case studies of non-trivial datasets.Case studies use S-PLUS.Includes supplementary material:

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978-1-4419-2918-1Springer-Verlag New York 2001

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Regression Modeling Strategies978-1-4757-3462-1Series ISSN 0172-7397 Series E-ISSN 2197-568X

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Introduction,thods that enable an analyst to develop models that will make accurate predictions of responses for . observations. Prediction could be considered a superset of hypothesis testing and estimation, so the methods presented here will also assist the analyst in those areas. It is worth pausing to explain how this is so.

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S-Plus Software,s described below is useful in the same situations. S. functions allow interaction spline functions as well as a wide variety of predictor parameterizations for any regression function, and facilitate model validation by resampling.

CRAMP

Binary Logistic Regression,g surgery, and occurrence of ventricular fibrillation in a dog. Often one wishes to study how a set of predictor variables . is related to a dichotomous response variable .. The predictors may describe such quantities as treatment assignment, dosage, risk factors, and year of treatment.

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Logistic Model Case Study 2: Survival of Titanic Passengers,assenger age, sex, ticket class, and the number of family members accompanying each passenger. Nonparametric regression is also used. Since many of the passengers had missing ages, multiple imputation is used so that the complete information on the other variables can be efficiently utilized.