hw7 - BIOST/EPI 513 Spring Quarter 2011 Dr. McKnight...

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BIOST / EPI 513 Spring Quarter 2011 Dr. McKnight HOMEWORK 7 Due in the class online drop box at 9pm, Monday, May 16, 2011 Except for the plot requested in question 2, please do not turn in any computer output. 1. Using the data in prosHW.dta on the Assigments page of the class website, use the training data set (for which training == 1) and the command swaic (type findit swaic ) to improve upon the predictive model derived in class. The improvement will be made possible by allowing dummy variables for the dre variable (it was treated as grouped linear in class) and by also allowing a log(psa) term. (a) Generate a new variable equal to log(psa), fit a logistic model using only the training data set to predict the binary “penetration” outcome using all the following variables: psa, log(psa), age, race, i.dre, i.dcaps, vol (main e ects only). Present the value of the area under the ROC curve (AUC) for this model for both the training and validation data sets. (b) Use
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hw7 - BIOST/EPI 513 Spring Quarter 2011 Dr. McKnight...

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