PRDA is an R package performing prospective or retrospective design analysis to evaluate inferential risks (i.e., power, Type M error, and Type S error) in a study considering Pearson’s correlation between two variables or mean comparisons (one-sample, paired, two-sample, and Welch’st-test). Prospective Design Analysis is performed in the planning stage of a study to define the required sample size to obtain a given level of power. Retrospective Design Analysis, instead, is performed when the data have already been collected to evaluate the inferential risks associated with the study.
PRDA: Conduct a Prospective or Retrospective Design Analysis
Claudio Zandonella Callegher;Massimiliano Pastore;Angela Andreella;Anna Vesely;Enrico Toffalini;Giulia Bertoldo;Gianmarco Altoè
2020
Abstract
PRDA is an R package performing prospective or retrospective design analysis to evaluate inferential risks (i.e., power, Type M error, and Type S error) in a study considering Pearson’s correlation between two variables or mean comparisons (one-sample, paired, two-sample, and Welch’st-test). Prospective Design Analysis is performed in the planning stage of a study to define the required sample size to obtain a given level of power. Retrospective Design Analysis, instead, is performed when the data have already been collected to evaluate the inferential risks associated with the study.
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