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Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner by Patricia B. Cerrito

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Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner Patricia B. Cerrito [email_address] University of Louisville
Objectives ,[object Object],[object Object],[object Object]
Surrogate Versus Real Endpoints ,[object Object],[object Object],[object Object]
One Versus Many Endpoints ,[object Object],[object Object]
Homogeneous Versus Heterogeneous Data ,[object Object],[object Object],[object Object]
Large Versus Small Samples ,[object Object],[object Object],[object Object],[object Object],[object Object]
Rare Occurrences ,[object Object],[object Object],[object Object],[object Object]
Example 1 ,[object Object],[object Object],continued...
Example 1 ,[object Object],continued...
Example 1 ,[object Object],[object Object]
Example 2 ,[object Object],continued...
Example 2 ,[object Object],[object Object],[object Object],continued...
Example 2 ,[object Object],[object Object],[object Object],continued...
Example 2 ,[object Object],[object Object]
Central Limit Theorem ,[object Object],[object Object],[object Object],continued...
Central Limit Theorem ,[object Object],[object Object]
Nonparametric Statistics ,[object Object],[object Object]
Dataset ,[object Object],[object Object],[object Object]
Distribution of Patient Stays
Normal Estimate
Kernel Density Estimation ,[object Object],[object Object],continued...
Kernel Density Estimation
Proc KDE ,[object Object],[object Object],[object Object]
Kernel Estimate of Length of Stay
Sampling from NIS ,[object Object],[object Object]
Examine Central Limit Theorem ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Sample Size=5
Sample Size=30
Sample Size=100
Sample Size=1000
Confidence Limit The confidence limit excludes much of the actual population distribution
Confidence Limit With Larger n
Discussion ,[object Object],[object Object],[object Object]
Discussion ,[object Object],[object Object],[object Object]
Problems With Regression ,[object Object],[object Object],[object Object]
Regression Equation
Threshold Value ,[object Object],[object Object],[object Object]
Simple Regression
Classification Table
Classification With 3 Variables continued...
Classification With 3 Variables
Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Poisson Distribution ,[object Object],[object Object],[object Object],[object Object]
Parameters ,[object Object],[object Object],[object Object]
Predictive Modeling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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
75/25 Split in the Data
90/10 Split in the Data
Validation ,[object Object],[object Object],[object Object]
 
Sampling Node
Misclassification in Regression
ROC Curves
 
Rule Induction Results
Variable Selection
 
ROC Curves
Decile ,[object Object],[object Object],[object Object],[object Object],[object Object]
Lift ,[object Object],[object Object],[object Object]
Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object]

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