@inproceedings{07f98cf875264d59bb5e6b4873c179f0,
title = "Sample Size Calculation in Medical Research",
abstract = "For the reliability and general ability of the results of any epidemiological or medical research study, adequate number of study units is extremely important. Study of both less than needed and unnecessarily large sample size is ethically and economically unfair. Considering the importance of sample size, its determination and justification in all kinds of epidemiological or medical research studies, we propose simple and non-technical explanation to the available sample size calculation methods. In this review we covered most frequently encountered study designs in medical research. Present review provides statistical formulas for the sample size calculation of the research studies with varying objectives such as estimation of population proportion(s) and hypothesis testing, estimation of population mean, estimation of diagnostic accuracy, estimation of association and reliability, sample size calculation for case control studies, and sample size calculation for cohort studies. Limited technical details and explanations of underlying theoretical assumption for each method have been included to ensure the adaptability of the method with minimal theoretical understating and statistical knowledge.",
keywords = "Association, Case Control Studies, Cohort Studies, Cross-sectional Studies, Diagnostic Accuracy, Medical Research, ROC Curve, Reliability, Sample Size",
author = "Musa Karim and Shumaila Furnaz and Buksh, {Ahmed Raheem} and Beg, {Muhammad Asim} and Khan, {Muhammad Shahbaz} and Bushra Moiz",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics, MACS 2019 ; Conference date: 14-12-2019 Through 15-12-2019",
year = "2019",
month = dec,
doi = "10.1109/MACS48846.2019.9024807",
language = "English",
series = "MACS 2019 - 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "MACS 2019 - 13th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics, Proceedings",
address = "United States",
}