4- A logistic regression model for predicting capsule=1 that included psa, age, and gleason in the model (model 1). Model 1: Model Fit Statistics Analysis of Maximum Likelihood Estimates DF Estimate Error Chi-Square Parameter Pr > ChiSq Intercept 1 -6.3896 1.4976 18.2045 <.0001 psa 1 0.0266 0.00894 8.8442 0.0029 age 1 -0.0208 0.0188 1.2351 0.2664 gleason 1 1.0790 0.1611 44.8373 <.0001 1- Write the resulting logistic regression equation for model 1 2- What is the predicted probability of having capsule=1 for a 69-year old man with a psa level of 10 mg/ml and a gleason score of 5, according to model 1? 3- What does the intercept from the model tell you? 4- Calculate the odds ratio.
4- A logistic regression model for predicting capsule=1 that included psa, age, and gleason in the model (model 1). Model 1: Model Fit Statistics Analysis of Maximum Likelihood Estimates DF Estimate Error Chi-Square Parameter Pr > ChiSq Intercept 1 -6.3896 1.4976 18.2045 <.0001 psa 1 0.0266 0.00894 8.8442 0.0029 age 1 -0.0208 0.0188 1.2351 0.2664 gleason 1 1.0790 0.1611 44.8373 <.0001 1- Write the resulting logistic regression equation for model 1 2- What is the predicted probability of having capsule=1 for a 69-year old man with a psa level of 10 mg/ml and a gleason score of 5, according to model 1? 3- What does the intercept from the model tell you? 4- Calculate the odds ratio.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter4: Eigenvalues And Eigenvectors
Section4.6: Applications And The Perron-frobenius Theorem
Problem 25EQ
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