PPT-Sample Size for Measures of Association

Correlation Agreement and Diagnostic Measures Denis Desmond Research Statistician nQuery Webinar Host Agenda Correlation Methods and Sample Size Agreement Methods and Sample Size Diagnostic Testing Methods and Sample Size. Jed Friedman, World . Bank. SIEF Regional Impact Evaluation Workshop. Beijing, China. July 2009. Adapted from slides by Esther . Duflo. , J-PAL. Planning Sample Size for . Randomized Evaluations. General question: . Dakota Davis. Slides taken from a . Workshop presented by Linda Henkel and Laura . McSweeney. of Fairfield University. Funded by the Core Integration Initiative and the Center for Academic Excellence at Fairfield University. Presented by :Dr. . Reshma.S. . Moderator : Dr. . Subodh. S Gupta. Why do we need sample size calculation?. When should we calculate sample size?. Basic principles for sample size calculation. Derivation of sample size formula. Dr. . Papia. Sultana. Associate Professor. Department of Statistics. University of . Rajshahi. 20/04/2012. 1. Dr. Papia Sultana. Sampling. The sample. The population. 20/04/2012. 2. Dr. Papia Sultana. Roger E. Kirk. Department of Psychology & Neuroscience. Baylor University. . Three Categories of Measures of . Effect Magnitude. 1. Measures of effect size (typically, standardized mean differences). Excel. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Sample size. How big should a sample be for a valid study?. Why phone 10,000 students if phoning 50 is enough?. Large samples take longer and cost more. Qualitative . R. esearch. First review….. Presentations. Eye tracking--Chelsea. fMRI—Alivia. Simpler physio measures. When would you want to use these?. Electromyography . Measures of arousal. Galvanic skin response. for Contingency Tables. Measures of Association. General measures of association that can be used with any variable types.. Measures of association when both X and Y are nominal.. Measures of association when both X and Y are ordinal.. Review of Type I & Type II Errors. When we conduct a test of any hypothesis regardless of the test used we make one of two possible decisions:. Reject the null (H. o. ) in favor of the alternative (H. Sampling error is acknowledgedClaims/Inferences indicate that a sample may or may not be representative of the larger population Interpretations include the difference between two groups with differe Sample 4. Females. 43% . Work on management positions. 14%. Variable One. 22%. Variable Two. 31%. Variable Three. 34%. Variable Four. 39%. Variable Five. 2 in 5. Additional Descriptive statistics. 80%. Plan. Review of hypothesis testing. Power and sample size . Basic concepts. Formulae for common study designs. Using the software. When should you think about power & sample size?. Start thinking about statistics when you are planning your study. Binary, Ordinal and . Contingency Table Data. Ronan Fitzpatrick. Lead Statistician. nQuery. Webinar. Host. Agenda. Categorical Data Overview. Binary Data Methods & Sample Size. Ordinal Data Methods & Sample Size. By: Harrison . Reeder. Mentor: Dr. Kathryn . Chaloner. Iowa Summer Institute in Biostatistics. Outline. What exactly does that title mean?. Basic Clinical Trial design. Interim Monitoring for Efficacy.