The authors derive closed-form sample size formulas from Fisher's unit information matrix to target prediction confidence interval widths for linear regression models with continuous outcomes.
Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient
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A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models -- Part 3: continuous outcomes
The authors derive closed-form sample size formulas from Fisher's unit information matrix to target prediction confidence interval widths for linear regression models with continuous outcomes.