Proposed grouping based on the values of estimated probabilities.
2 grouping strategies:
With the first method, use of g=10 groups result in the first group containing
n1=n/10 subjects having the smallest estimated probabilities and the last group
containing n10=n/10 subjects having the largest estimated probabilities.
With the second method, use of g=10 groups results in cut points defined at the
values k/10, k=1,2……9 & the groups contain all subjects with estimated
probabilities between adjacent cut points.
2 grouping strategies:
- Based on percentiles of estimated probabilities
- Based on fixed values of estimated probabilities
With the first method, use of g=10 groups result in the first group containing
n1=n/10 subjects having the smallest estimated probabilities and the last group
containing n10=n/10 subjects having the largest estimated probabilities.
With the second method, use of g=10 groups results in cut points defined at the
values k/10, k=1,2……9 & the groups contain all subjects with estimated
probabilities between adjacent cut points.
PSM / COMMUNITY MEDICINE by Dr Abhishek Jaiswal is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at learnpsm@blogspot.com.
Permissions beyond the scope of this license may be available at jaiswal.fph@gmail.com.
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