NI Yan-yan, ZHANG Jin-xin. How to Determine Permissible Error δ Value Properly when Computing Sample Sizes in Hypothesis TestsJ. Journal of Evidence-Based Medicine, 2011, 11(6): 370-372. DOI: 10.3969/j.issn.1671-5144.2011.06.015
Citation:
NI Yan-yan, ZHANG Jin-xin. How to Determine Permissible Error δ Value Properly when Computing Sample Sizes in Hypothesis TestsJ. Journal of Evidence-Based Medicine, 2011, 11(6): 370-372. DOI: 10.3969/j.issn.1671-5144.2011.06.015
NI Yan-yan, ZHANG Jin-xin. How to Determine Permissible Error δ Value Properly when Computing Sample Sizes in Hypothesis TestsJ. Journal of Evidence-Based Medicine, 2011, 11(6): 370-372. DOI: 10.3969/j.issn.1671-5144.2011.06.015
Citation:
NI Yan-yan, ZHANG Jin-xin. How to Determine Permissible Error δ Value Properly when Computing Sample Sizes in Hypothesis TestsJ. Journal of Evidence-Based Medicine, 2011, 11(6): 370-372. DOI: 10.3969/j.issn.1671-5144.2011.06.015
How to Determine Permissible Error δ Value Properly when Computing Sample Sizes in Hypothesis Tests
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Objective There are three ways to determine permissible error δ value when researchers cannot get the difference δ between population parameters in computing sample sizes of hypothesis tests. Methods Take one-sample t-test for example and discuss how to determine δ value properly to compute the final sample size on two sides when there exists professional difference δ or not. Results Compare δ from pilot experiment and professional difference δ when professional difference δ does exist and then compute sample size; when there is no professional difference δ, we set the interval(0.25S,0.50S) to compute sample size; the results can also be applied in situations which involve permissible error like two independent sample t-test and χ2 test. Conclusion It is necessary to select δ value reasonably in different situations when computing sample sizes; a flow chart for reference in practice is provided.