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Lin Naing, Rusli Bin Nordin, Hanif Abdul Rahman, Yuwadi Thein Naing
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 ).
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Naing, L., Nordin, R. B., Rahman, H. A., & Naing, Y. T. (2022). Sample size calculation for prevalence studies using Scalex and ScalaR calculators. BMC Medical Research Methodology, 22(1), 209. https://doi.org/10.1186/s12874-022-01694-7
Naing, Lin, et al. "Sample size calculation for prevalence studies using Scalex and ScalaR calculators." BMC Medical Research Methodology, vol. 22, no. 1, 2022, pp. 209, https://doi.org/10.1186/s12874-022-01694-7.
Naing, Lin, Rusli Bin Nordin, Hanif Abdul Rahman, and Yuwadi Thein Naing. "Sample size calculation for prevalence studies using Scalex and ScalaR calculators." BMC Medical Research Methodology 22, no. 1 (2022): 209. https://doi.org/10.1186/s12874-022-01694-7.
Naing L., Nordin R. B., Rahman H. A. [и др.] Sample size calculation for prevalence studies using Scalex and ScalaR calculators // BMC Medical Research Methodology. — 2022. — Vol. 22, № 1. — P. 209. — URL: https://doi.org/10.1186/s12874-022-01694-7
@article{naing2022sample,
title = {{Sample size calculation for prevalence studies using Scalex and ScalaR calculators}},
author = {Lin Naing and Rusli Bin Nordin and Hanif Abdul Rahman and Yuwadi Thein Naing},
journal = {BMC Medical Research Methodology},
year = {2022},
volume = {22},
number = {1},
pages = {209},
doi = {10.1186/s12874-022-01694-7},
url = {https://doi.org/10.1186/s12874-022-01694-7}
}TY - JOUR AU - Naing, Lin AU - Nordin, Rusli Bin AU - Rahman, Hanif Abdul AU - Naing, Yuwadi Thein TI - Sample size calculation for prevalence studies using Scalex and ScalaR calculators JO - BMC Medical Research Methodology VL - 22 IS - 1 SP - 209 PY - 2022 DA - 2022/07/30 DO - 10.1186/s12874-022-01694-7 UR - https://doi.org/10.1186/s12874-022-01694-7 ER -
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