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Medical Epidemiology ,[object Object]
Developmental characteristics: test parameters ,[object Object]
Developmental characteristics: test parameters ,[object Object],[object Object],[object Object],[object Object],[object Object]
Typical setting for finding Sensitivity and Specificity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Setting for finding Sensitivity and Specificity ,[object Object],[object Object],[object Object],[object Object]
Developmental characteristics: Cut-points and Receiver Operating Characteristic (ROC) Healthy
Developmental characteristics: Cut-points and Receiver Operating Characteristic (ROC) Healthy   Sick
Developmental characteristics: Cut-points and Receiver Operating Characteristic (ROC) Fals pos= 20%   True pos=82%
Developmental characteristics: Cut-points and Receiver Operating Characteristic (ROC) Fals pos= 9%   True pos=70%
Developmental characteristics: Cut-points and Receiver Operating Characteristic (ROC) F pos= 100%  T pos=100%
Developmental characteristics: Cut-points and Receiver Operating Characteristic (ROC) F pos= 50%  T pos=90%
 
Developmental characteristics: Cut-points and Receiver Operating Characteristic (ROC) Receiver Operating Characteristic (ROC)
Developmental characteristics: Cut-points and Receiver Operating Characteristic (ROC) Receiver Operating Characteristic (ROC)
Receiver Operating Characteristic (ROC) ,[object Object],[object Object]
 
Clinical Interpretation: Predictive Values Most test positives below are sick.  But this is because there are as many sick as healthy people overall.  What if fewer people were sick, relative to the healthy?
Clinical Interpretation: Predictive Values Now most test positives below are healthy.  This is because the number of false positives from the larger healthy group outweighs the true positives from the sick group.  Thus,  the chance that a test positive is sick depends on the prevalence of the disease in the group tested!
Clinical Interpretation: Predictive Values ,[object Object],[object Object],[object Object]
Clinical Interpretation: Predictive Values ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Positive Predictive Value ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clinical Interpretation: Predictive Values T+ D+ T+ and D+
Clinical Interpretation: Predictive Value ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Negative Predictive Value ,[object Object],[object Object],[object Object],[object Object],[object Object]
Mathematicians don’t Like PV- ,[object Object],[object Object],[object Object],[object Object],[object Object]
Where do you find PPV? ,[object Object],[object Object],[object Object],[object Object]
Use This Table ?  NO
Make a New Table
Make a New Table
Switch to Odds ,[object Object],[object Object],[object Object],[object Object],[object Object]
From pretest to posttest odds ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object]
What is this  second fraction? ,[object Object],[object Object],[object Object],[object Object]
Clinical Interpretation: likelihood ratios ,[object Object],[object Object],[object Object]
Clinical Interpretation: Positive Likelihood Ratio and PV+ O = PRE-TEST ODDS OF DISEASE POST-ODDS (+) = O x LR+ =
Likelihood Ratio Negative  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clinical Interpretation: Negative Likelihood Ratio and PV- POST-ODDS (-) = O x LR- =
[object Object]
Post test probability given a negative test = Post odds (-)/ 1+ post odds (-)
Value of a diagnostic test depends on the prior probability of disease ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clinical interpretation of post-test probability Disease ruled out Disease ruled in
Advantages of LRs ,[object Object],[object Object],[object Object],[object Object],[object Object]
Advantages of LRs ,[object Object]
Likelihood Ratios - Advantage ,[object Object],[object Object],[object Object],[object Object],[object Object]
Using Likelihood Ratios to Determine Post-Test Disease Probability
 
Predictive Values ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clinical Interpretation: Predictive Values
Clinical Interpretation: Predictive Values
If Predictive value is more useful why not reported? ,[object Object],[object Object],[object Object],[object Object]
So how do you figure pretest probability? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pretest Probability: Clinical Significance ,[object Object],[object Object],[object Object],[object Object]
What proportion of all patients will test positive? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Combination tests: serial and parallel testing ,[object Object],[object Object],[object Object]
Serial Testing ,[object Object],[object Object],[object Object],[object Object],[object Object]
Combination tests: parallel testing ,[object Object],[object Object],[object Object],[object Object],[object Object]
Clinical settings for parallel testing ,[object Object]
Clinical settings for serial testing ,[object Object]
Typical setting for finding Sensitivity and Specificity ,[object Object],[object Object],[object Object],[object Object],[object Object]
EXAMPLE ,[object Object],[object Object],[object Object],[object Object]
 
If the test is used to decide  referral  for gold standard? 1000 900 Sp 828/900 = .92 100 Sn95/100 =.95 Total 833 828 5 Test Negative 167 72 95 Test Positive Total No Disease Disease
If the test is used to decide  referral  for gold standard? 1000 900 164 Sp 99/164=.4 100 86 Sn85/86=.99 Total 833 833    100 828 99 5 1 Test Negative 167 167  150 72 65 95 85 Test Positive Total No Disease Disease
If the test is used to decide  referral  for gold standard? 250 164 Sp 99/164=.4 86 Sn85/86=.99 Total 100 99 1 Test Negative 150 65 85 Test Positive Total No Disease Disease

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