We ran an inference test to study if gender (0=female; 1= male) is associated with a diagnosis of Type 2 Diabetes Mellitus (t2dm: 0= absent; 1=present) on a group of patients, controlling for age. Results table are shown as below. Analysis of Maximum Likelihood Estimates Estimate Standard Error Test statistic p-value Exp(B) Intercept -12.77 1.9759 41.8176 <.0001 ---------------- Gender 0.41 0.124 10.9799 0.0009 1.5 Age 0.0948 0.0305 9.6883 0.0019 1.09 What type of model is this, and why is this type of analysis appropriate in this case? Also, please describe the finding: is gender associated with diagnosis of t2dm, why or why not (provide the test statistic and p-value)? Interpret the coefficient for gender and age.
We ran an inference test to study if gender (0=female; 1= male) is associated with a diagnosis of Type 2 Diabetes Mellitus (t2dm: 0= absent; 1=present) on a group of patients, controlling for age. Results table are shown as below.
Analysis of Maximum Likelihood Estimates
|
Estimate |
Standard Error |
Test statistic |
p-value |
Exp(B) |
Intercept |
-12.77 |
1.9759 |
41.8176 |
<.0001 |
---------------- |
Gender |
0.41 |
0.124 |
10.9799 |
0.0009 |
1.5 |
Age |
0.0948 |
0.0305 |
9.6883 |
0.0019 |
1.09 |
What type of model is this, and why is this type of analysis appropriate in this case?
Also, please describe the finding: is gender associated with diagnosis of t2dm, why or why not (provide the test statistic and p-value)? Interpret the coefficient for gender and age.
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