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Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner by Patricia B. Cerrito
1.
Clinical Trials Versus
Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner Patricia B. Cerrito [email_address] University of Louisville
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
Distribution of Patient
Stays
20.
Normal Estimate
21.
22.
Kernel Density Estimation
23.
24.
Kernel Estimate of
Length of Stay
25.
26.
27.
Sample Size=5
28.
Sample Size=30
29.
Sample Size=100
30.
Sample Size=1000
31.
Confidence Limit The
confidence limit excludes much of the actual population distribution
32.
Confidence Limit With
Larger n
33.
34.
35.
36.
Regression Equation
37.
38.
Simple Regression
39.
Classification Table
40.
Classification With 3
Variables continued...
41.
Classification With 3
Variables
42.
43.
44.
45.
46.
50/50 Split in
the Data Filter data to mortality outcome Filter data to non-mortality outcome Use PROC SURVEYSELECT to extract a subsample of non-mortality outcome Append the mortality outcome data to subsample
47.
75/25 Split in
the Data
48.
90/10 Split in
the Data
49.
50.
51.
Sampling Node
52.
Misclassification in Regression
53.
ROC Curves
54.
55.
Rule Induction Results
56.
Variable Selection
57.
58.
ROC Curves
59.
60.
61.
62.
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