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

42 responses

3.70

/ 5

strongly agree
36%
agree
33%
disagree
14%
strongly disagree
12%
25%
50%
75%
100%

Clear Expectations

23 responses

3.65

/ 5

strongly agree
35%
agree
30%
neither agree nor disagree
9%
disagree
17%
strongly disagree
9%
25%
50%
75%
100%

Learned a Lot

42 responses

3.69

/ 5

strongly agree
36%
agree
36%
disagree
19%
strongly disagree
10%
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

42 responses

3.85

/ 5

strongly agree
40%
agree
36%
disagree
10%
strongly disagree
12%
question not applicable
2%
25%
50%
75%
100%