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Lesson #10 Screening Tests. D D’. TP. +. FP. FN. -. TN. = P( + | D ). Sensitivity = Se. = P( - | D’ ). Specificity = Sp. 95. 20. 5. 180. Ca no Ca. +. -. 100 200. Se. = .95. Sp. = .90. 95. 200. 5. 1800. Ca no Ca. +. -. 100 2000. - PowerPoint PPT Presentation
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Lesson #10
Screening Tests
D D’
+
-
TP
FN
FP
TN
Sensitivity = Se = P( + | D )TP
= TP + FN
Specificity = Sp = P( - | D’ )TN
= TN + FP
Ca no Ca
+
-
95
5
20
180
100 200
Se95
= 100
Sp
= .95
180=
200= .90
Ca no Ca
+
-
95
5
200
1800
100 2000
Se95
= 100
Sp
= .95
1800=
2000= .90
Positive Predictive Value (PPV)
PPV = P( D | + )
Not the same as Se!
The simplest form of Bayes’ Theorem is:
P(A) P(B | A)P(A | B) =
P(A) P(B | A) + P(A' ) P(B | A' )
P(D) P( | D)=
P(D) P( | D) + P(D' ) P( | D' )+
+ +
PPV = P(D | +)
P( ) P(B | )P( | B) =
P( ) P(B | ) + P( ) PA A
AA (B |A A' ' )A
P( ) P( | )=
P( ) P( | ) + P( )D D
D D P( | )D' D'+
+ +
PPV = P(D | +)
P( ) P( | )P( | ) =
P( ) P( | ) + A A
AA A A'P( ) P
BB
B B( | ' )A
P( ) P( | )=
P( ) P( | ) + P( )D D
D D P( | )D' D'+
+ +
PPV = P(D | +)
p
1-p
Se1-Sp
p(Se)=
p(Se) + (1 - p)(1 - Sp)
Se = .95 Sp = .90 p = .02
p(Se)=
p(Se) + (1 - p)(1 - Sp)PPV
(.02)(.95)=
(.02)(.95) + (.98)(.10)
= .162.019
= .019 + .098
.019=
.117
Ca no Ca
+
-
95
5
200
1800
100 2000
Ca no Ca
+
-
95
5
20
180
100 200
95"PPV" = = .862
115
95"PPV" = = .322
295
Ca
No Ca
P(Ca and +) = P(TP)= (.02)(.95) = .019
+.10
Sp = .90
-
.02
.98
+Se = .95
.05
-
P(No Ca and +) = P(FP)= (.98)(.10) = .098
P(+) = .117