EPI 5345 Applied Logistic Regression

1.5 units
Epidemiology and Public Health
Faculty of Medicine
Foundation of model estimation: maximum likelihood; modeling dichotomous outcome (dependent) variables: logistic regression; logistic models with several independent variables; interpretation of model parameters; model-building strategies; assessing the fit of the model; regression diagnostics. Classes will include hands-on modeling examples using SAS statistical software.

Components:

Lecture

Requirements:

EPI 5345 is a corequisite to EPI 5340 .

Previously Offered Terms:

Winter

Organized

51 responses

3.50

/ 5

strongly agree
31%
agree
31%
disagree
16%
strongly disagree
16%
25%
50%
75%
100%

Clear Expectations

31 responses

3.61

/ 5

strongly agree
29%
agree
35%
neither agree nor disagree
10%
disagree
19%
strongly disagree
6%
25%
50%
75%
100%

Learned a Lot

51 responses

3.52

/ 5

strongly agree
29%
agree
37%
disagree
18%
strongly disagree
14%
25%
50%
75%
100%

Recommend

19 responses

3.11

/ 5

strongly agree
11%
agree
42%
disagree
42%
strongly disagree
5%
25%
50%
75%
100%

Workload

19 responses

2.26

/ 5

very heavy
11%
heavier than average
53%
average
37%
lighter than average
0%
very light
0%
25%
50%
75%
100%

Fair Assessments

51 responses

3.64

/ 5

strongly agree
33%
agree
37%
disagree
14%
strongly disagree
14%
question not applicable
2%
25%
50%
75%
100%