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  "Description": "Power and sample size calculations for a variety of study\ndesigns and outcomes. Methods include t tests, ANOVA (including\ntests for interactions, simple effects and contrasts),\nproportions, categorical data (chi-square tests and\nproportional odds), linear, logistic and Poisson regression,\nalternative and coprimary endpoints, power for confidence\nintervals, correlation coefficient tests, cluster randomized\ntrials, individually randomized group treatment trials,\nmultisite trials, treatment-by-covariate interaction effects\nand nonparametric tests of location. Utilities are provided for\ncomputing various effect sizes. Companion package to the book\n\"Power and Sample Size in R\", Crespi (2025,\nISBN:9781138591622). Further resources available at\n<https://powerandsamplesize.org/>.",
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