## Free step-down resampling adjustment for multiple testing in linear regression

An implementation of the free step-down resampling p-value adjustment for multiple-testing of regression models.

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Free step-down resampling adjustment for multiple testing in linear regression

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Meta-analysis with the 2-step DerSimonian-Laird estimator

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Model-based bootstrapped AN(C)OVA

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Linear Mixed Model Sample Size Calculations

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SF-12 v2 scoring using Australian population weights

An implementation of the free step-down resampling p-value adjustment for multiple-testing of regression models.

R code for the 2-step DerSimonian and Laird estimator for tau-squared in random-effects meta-analyses.

R Function that runs model-based boostrapping for regression, ANOVA, or ANCOVA models.

This post outlines a Shiny app to calculate the required sample size for a two-group linear mixed model. It uses the power.mmrm function from the…

Continue reading → Linear Mixed Model Sample Size Calculations

This brief post provides the R syntax to calculate SF-12 v2 scores using Australian population weights. The population weights are derived from: Hawthorne, G., Osborne,…

Continue reading → SF-12 v2 scoring using Australian population weights