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.
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
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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.