This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site. Copyright 2009, The Johns Hopkins University and John McGready. All rights reserved. Use of these materials permitted only in accordance with license rights granted. Materials provided “AS IS”; no representations or warranties provided. User assumes all responsibility for use, and all liability related thereto, and must independently review all materials for accuracy and efficacy. May contain materials owned by others. User is responsible for obtaining permissions for use from third parties as needed. Section E FYI if Interested Example Consider the following results from a study done on 29 women, all 35–39 years old Sample Data n Mean SBP SD of SBP OC users 8 132.8 15.3 Non-OC users 21 127.4 18.2 3 Example Suppose we want to design a study with 80% power to detect a mean difference of at least 5.4 mmHg between the two groups - Will reject at α = .05 if - As such, you want 5.4mmHg if µOC - µNO OC ≥ 4 Example Consider Using the estimates from the small study for population SDs: With nOC = nNO OC = n this becomes: 5 Example Suppose we want to design a study with 80% power to detect a mean difference of at least 5.4 mmHg between the two groups - i.e., if µOC - µNO OC ≥ 5.4mmHg With some algebra: if µOC - µNO OC ≥ 5.4mmHg But if µOC - µNO OC ≥ 5.4mmHg, then assuming large n, is a normally distributed process with mean µOC - µNO OC and standard error 6 Example Suppose we want to design a study with 80% power to detect a mean difference of at least 5.4 mmHg between the two groups So Becomes: if µOC - µNO OC ≥ 5.4mmHg 7 Example Suppose we want to design a study with 80% power to detect a mean difference of at least 5.4 mmHg between the two groups But on a standard normal curve, the value that cuts off 80% of the area to its right is 0.84. So we need to solve: Some more beautiful algebra: 8 Example Suppose we want to design a study with 80% power to detect a mean difference of at least 5.4 mmHg between the two groups Some more beautiful algebra: Squaring both sides: Solving for n: 9 Example Suppose we want to design a study with 80% power to detect a mean difference of at least 5.4 mmHg between the two groups Plugging on our info: 10 Example It is also possible to design a study to estimate a quantity, such as a mean difference or difference in proportions with a desired level of precision In other words, the necessary sample sizes can be estimated to try to get a confidence interval of a desired maximum width 11 Example Suppose we wanted to design a study with equal sample sizes to estimate the mean difference within ± 3 mmHg - i.e., design the study to have a specific precision - Now using the estimates from the small study for population SDs: - With nOC = nNO OC = n this becomes: 12 Example We want Plugging in pilot data: Sample Data n Mean SBP SD of SBP OC users 8 132.8 15.3 Non-OC users 21 127.4 18.2 13 Example Solving algebraically 14