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Table 1 Hypothetical distribution of subjects according to the predictors and outcome incidence

From: A simple method for estimating relative risk using logistic regression

  High incidence
(50%)
Intermediate
incidence (20%)
Low incidence
(5%)
 
Independent
Variable
Cases
(n = 500)
Non-cases
(n = 500)
Cases
(n = 200)
Non-cases
(n = 800)
Cases
(n = 50)
Non-cases
(n = 950)
Total
(n = 1000)
Predictor A        
   positive 409 191 161 439 45 555 600
   negative 91 309 39 361 5 395 400
Predictor B        
   positive 398 102 159 341 36 464 500
   negative 102 398 41 459 14 486 500
Predictor C        
   positive 227 173 84 316 23 377 400
   negative 273 327 116 484 27 573 600