Skip to main content

Table 2 Summary of the calculated minimum required sample size and the difference between observed and calculated estimates where the observed value is: the sample size used to develop the prediction model, or the total available sample size. Values are median [25th and 75th percentiles]

From: Sample size requirements are not being considered in studies developing prediction models for binary outcomes: a systematic review

 

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