Journal Article

Sample size calculation for prevalence studies using Scalex and ScalaR calculators

Naing, Lin, Nordin, Rusli Bin, Abdul Rahman, Hanif, Naing, Yuwadi Thein

2022

Overview

Background Although books and articles guiding the methods of sample size calculation for prevalence studies are available, we aim to guide, assist and report sample size calculation using the present calculators. Results We present and discuss four parameters (namely level of confidence, precision, variability of the data, and anticipated loss) required for sample size calculation for prevalence studies. Choosing correct parameters with proper understanding, and reporting issues are mainly discussed. We demonstrate the use of a purposely-designed calculators that assist users to make proper informed-decision and prepare appropriate report. Conclusion Two calculators can be used with free software (Spreadsheet and RStudio) that benefit researchers with limited resources. It will, hopefully, minimize the errors in parameter selection, calculation, and reporting. The calculators are available at: ( https://sites.google.com/view/sr-ln/ssc ).

• Publisher: BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
• Subject: Calculator / Calculators / Confidence intervals / Cross-sectional studies / Estimates / Forecasts and trends / Health Sciences / Medical research / Medicine / Medicine & Public Health / Methods / Population / Prevalence studies / Prevalence studies (Epidemiology) / Researchers / Sample size / Single proportion / Software / Statistical analysis / Statistical sampling / Statistical Theory and Methods / Statistics for Life Sciences / Theory of Medicine/Bioethics