Title: Power and Sample Size for Health Researchers via Shiny
field. There are functionalities to calculate the power, sample size to estimate or test hypotheses for means and
proportions (including test for equivalence, non-inferiority and superiority), association, Pearson's correlation coefficient,
regression coefficients (linear, logistic and Cox), linear mixed model,
Cronbach's alpha, interobserver agreement, intraclass correlation coefficients,
Imports: DT, easypower, EnvStats, ICC.Sample.Size, kappaSize,
longpower, MESS, plotly, powerMediation, powerSurvEpi, presize,
pROC, pwr, pwr2, shiny, shinycssloaders, shinyFeedback,
shinythemes, shinyhelper, tidyverse, TrialSize, WebPower,
Vânia Naomi Hirakata [aut] (<https://orcid.org/0000-0003-4645-2080>),
Suzi Alves Camey [aut] (<https://orcid.org/0000-0002-5564-081X>),
Maintainer: Rogério Boff Borges <roborges@hcpa.edu.br>

Description: 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, Pearson's correlation coefficient, 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/>.
Imports: DT, easypower, EnvStats, epiR, ICC.Sample.Size, kappaSize,
longpower, plotly, powerMediation, powerSurvEpi, presize, pROC,
pwr, pwr2, shiny, shinycssloaders, shinyFeedback, shinyhelper,

proportions (including test for correlated groups, equivalence, non-inferiority and superiority), association, correlations coefficients,
You can also use the online version at <https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/>.