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.
Stability of clinical prediction models developed using statistical or machine learning methods
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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.