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A study (data from Efron B, et al 2004) was conducted to determine the predictors of whether participants had a low or high risk of diabetes (we'll call this variable "Y"), Data was collected on 442 diabetes patients. A multivariable logistic regression model was constructed for the outcome Y that included the predictor variables age, gender, BMI, blood pressure, total cholesterol, LDL cholesterol, triglycerides and glucose level. The odds ratios omputed from the model parameter estimates can be seen here:

A study (data from Efron B, et al 2004) was conducted to determine the predictors of whether participants had a low or high risk of diabetes (we'll call this variable "Y"), Data was collected on 442 diabetes patients. A multivariable logistic regression model was constructed for the outcome Y that included the predictor variables age, gender, BMI, blood pressure, total cholesterol, LDL cholesterol, triglycerides and glucose level. The odds ratios omputed from the model parameter estimates can be seen here:

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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4 Odds Ratios for Gender Level1 /Level2 Odds Ratio Prob> Chisq Lower 95% Upper 95% 2. 1.8525808 0.0569 0.9821721 3.4943523 1 0.5397875 0.0569 0.2861761 1.0181515 Note gender is coded as Gender=2 for female and Gender=1 for male and low risk of diabetes is coded as 0, high risk of diabetes is coded as 1 and the model seeks to predict the high risk of diabetes. Do males or females have greater odds of a high risk of diabetes? Cite evidence to support your answer and interpret the relevant results in terms of the problem at hand.
Transcribed Image Text:4 Odds Ratios for Gender Level1 /Level2 Odds Ratio Prob> Chisq Lower 95% Upper 95% 2. 1.8525808 0.0569 0.9821721 3.4943523 1 0.5397875 0.0569 0.2861761 1.0181515 Note gender is coded as Gender=2 for female and Gender=1 for male and low risk of diabetes is coded as 0, high risk of diabetes is coded as 1 and the model seeks to predict the high risk of diabetes. Do males or females have greater odds of a high risk of diabetes? Cite evidence to support your answer and interpret the relevant results in terms of the problem at hand.
A study (data from Efron B, et al 2004) was conducted to detemine the predictors of whether participants had a low or high risk of diabetes (we'll call this variable "Y"). Data was collected on 442 diabetes patients. A multivariable logistic regression model was constructed for the outcome Y that included the predictor variables age, gender, BMI, blood pressure, total cholesterol, LDL cholesterol, triglycerides and glucose level. The odds ratios gomputed from the model parameter estimates can be seen here: 4 Unit Odds Ratios Per unit change in regressor Term Odds Ratio Lower 95% Upper 95% Age 0.996106 0.972001 1.135468 1.028259 1.020597 BMI 1.225728 1.052517 1.330495 Blood Pressure 1.078545 Total Cholesterol 0.959058 0.931957 0.985535 1.069977 67.57455 LDL Triglycerides Glucose 1.039002 22.84237 1.000038 1.010135 8.430059 0.971109 1.029997
Transcribed Image Text:A study (data from Efron B, et al 2004) was conducted to detemine the predictors of whether participants had a low or high risk of diabetes (we'll call this variable "Y"). Data was collected on 442 diabetes patients. A multivariable logistic regression model was constructed for the outcome Y that included the predictor variables age, gender, BMI, blood pressure, total cholesterol, LDL cholesterol, triglycerides and glucose level. The odds ratios gomputed from the model parameter estimates can be seen here: 4 Unit Odds Ratios Per unit change in regressor Term Odds Ratio Lower 95% Upper 95% Age 0.996106 0.972001 1.135468 1.028259 1.020597 BMI 1.225728 1.052517 1.330495 Blood Pressure 1.078545 Total Cholesterol 0.959058 0.931957 0.985535 1.069977 67.57455 LDL Triglycerides Glucose 1.039002 22.84237 1.000038 1.010135 8.430059 0.971109 1.029997
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