Sample Size Estimation and Power Analysis for Research Studies Using R

Sample size estimation is very crucial in any research design. A research design with less sample size may give a biased result or inconclusive result. A research design with very large sample size than required results is waste of resources, time and energy. So, it is very essential to determine ‘ideal’ or ‘optimum’ sample size. This article gives formulae and R code for determining sample size for single mean, two means, single proportion, two proportions, proportion in survey type data, case control studies, cohort studies, correlation coefficient and difference between correlation coefficients.

並列關鍵字

Sample size ； level of significance ； one and two tailed tests ； statistical power ； Superiority study ； Equivalence study ； Non inferiority study ； R code

國際替代計量

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