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Fundamentals of epidemiology - an evolving text - Are you looking ...

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Complete data cases<br />

% distribution conditioning on<br />

Stratum # A B C Count Percent<br />

<strong>of</strong> total<br />

A A & B A, C=0 A, C=1<br />

1 0 0 0 400 33 53 67 80<br />

2 0 0 1 200 17 27 33<br />

100<br />

75<br />

3 0 1 0 100 8 13 67 20<br />

4 0 1 1 50 4 7 33 25<br />

100 100 100 100<br />

5 1 0 0 240 20 53 62 83<br />

6 1 0 1 150 13 33 38 88<br />

100<br />

7 1 1 0 40 3 9 67 17<br />

8 1 1 1 20 2 4 33 12<br />

100 100 100 100<br />

Total 1,200 100<br />

Missing value configurations<br />

Configuration A B C Count<br />

a. 0 0 . 12<br />

b. 0 1 . 18<br />

c. 1 0 . 10<br />

d. 1 1 . 30<br />

e. 0 . 0 40<br />

f. 0 . 1 10<br />

g. 1 . 0 15<br />

h. 1 . 1 25<br />

i. 0 . . 20<br />

j. 1 . . 10<br />

In this example, the eight strata in the cross-classification <strong>of</strong> the complete data cases are<br />

numbered 1 through 8, <strong>an</strong>d the percentages for each stratum are computed in four different ways:<br />

unconditionally (i.e., the count as a percentage <strong>of</strong> all <strong>of</strong> the complete-data cases), conditionally based<br />

on the value <strong>of</strong> A only, conditionally based on the value <strong>of</strong> A <strong>an</strong>d B, <strong>an</strong>d conditionally on the value<br />

<strong>of</strong> A <strong>an</strong>d C [the latter requires two columns for clarity]. Me<strong>an</strong>while, the 10 possible missing data<br />

configurations are arrayed in the second table <strong>an</strong>d labeled a. through j.<br />

_____________________________________________________________________________________________<br />

www.sph.unc.edu/EPID168/ © Victor J. Schoenbach 16. Data m<strong>an</strong>agement <strong>an</strong>d data <strong>an</strong>alysis - 543<br />

rev. 9/27/1999, 10/22/1999, 10/28/1999

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