Power and Sample Size for Health Researchers via Shiny

Power and Sample Size for Health Researchers is a Shiny application that brings together a series of functions related to sample size and power calculations for common analysis in the healthcare field. There are functionalities to calculate the power, sample size to estimate or test hypotheses for means and proportions (including test for correlated groups, equivalence, non-inferiority and superiority), association, correlations coefficients, regression coefficients (linear, logistic and Cox), linear mixed model, Cronbach's alpha, interobserver agreement, intraclass correlation coefficients, limit of agreement on Bland-Altman plots, area under the curve, sensitivity and specificity incorporating the prevalence of disease. You can also use the online version at < https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/>.


Reference manual

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0.3.1 by Rogério Boff Borges, 2 months ago

Browse source code at https://github.com/cran/PSS.Health

Authors: Rogério Boff Borges [aut, cre] , Guilherme Serpa Azambuja [aut] , Aline Castello Branco Mancuso [aut] , Vanessa Bielefeldt Leotti [aut] , Vânia Naomi Hirakata [aut] , Suzi Alves Camey [aut] , Stela Maris de Jezus Castro [aut] , Hospital de Clínicas de Porto Alegre [fnd]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports DT, easypower, EnvStats, epiR, ICC.Sample.Size, kappaSize, longpower, plotly, powerMediation, powerSurvEpi, presize, pROC, pwr, pwr2, shiny, shinycssloaders, shinyFeedback, shinyhelper, tidyverse, writexl

See at CRAN