| Total required sample size | Total number of events | Events per predictor parameter |
---|---|---|---|
Calculated sample size: Criteria 1 - small overfitting defined by an expected shrinkage of predictor effects by 10% or less (n = 94) | 965 [487 to 2268] | 188 [101 to 343] | 7.8 [4.2 to 14.7] |
Calculated sample size: Criteria 2 - small absolute difference of 0.05 in the model’s apparent and adjusted Nagelkerke’s R2 value (n = 94) | 673 [496 to 1095] | 122 [83 to 213] | 5.1 [3.9 to 7.6] |
Calculated sample size: Criteria 3 - precise estimation (within +/- 0.05) of the average outcome risk (n = 94) | 241 [150 to 331] | 47 [16 to 108] | 1.9 [0.6 to 5.2] |
Minimum required sample size to meet all criteria (n = 94) | 971 [543 to 2268] | 211 [114 to 360] | 9.0 [4.9 to 15.1] |
Difference between minimum required sample size to meet all criteria and sample size that was used to develop the model | -387 [-1207 to 49], n = 94 | -75 [-234 to 6], n = 94 | -3.4 [-8.4 to 0.4], n = 89 |
Difference between minimum required sample size to meet all criteria and sample size that was available to develop the model | -360 [-1207 to 72], n = 94 | -63 [-225 to 7], n = 93 | -3.0 [-7.7 to 0.4], n = 88 |
Difference between minimum required sample size to meet criteria 3 and sample size that was used to develop the model | 262 [-1 to 1165], n = 94 | 46 [0 to 165], n = 94 | 1.6 [0 to 6.8], n = 89 |
Difference between minimum required sample size to meet criteria 3 and sample size that was available to develop the model | 373 [14 to 1369], n = 94 | 50 [2 to 210], n = 93 | 1.9 [0.1 to 9.1], n = 88 |