Computing Power and Sample Size for Informational Odds Ratio
نویسندگان
چکیده
منابع مشابه
Computing Power and Sample Size for Informational Odds Ratio †
The informational odds ratio (IOR) measures the post-exposure odds divided by the pre-exposure odds (i.e., information gained after knowing exposure status). A desirable property of an adjusted ratio estimate is collapsibility, wherein the combined crude ratio will not change after adjusting for a variable that is not a confounder. Adjusted traditional odds ratios (TORs) are not collapsible. In...
متن کاملUnconditional small-sample confidence intervals for the odds ratio.
The traditional approach to 'exact' small-sample interval estimation of the odds ratio for binomial, Poisson, or multinomial samples uses the conditional distribution to eliminate nuisance parameters. This approach can be very conservative. For two independent binomial samples, we study an unconditional approach with overall confidence level guaranteed to equal at least the nominal level. With ...
متن کاملOn sample size calculation based on odds ratio in clinical trials.
Sample size calculation formulas for testing equality, noninferiority, superiority, and equivalence based on odds ratio were derived under both parallel and one-arm crossover designs. An example concerning the study of odds ratio between a test compound (treatment) and a standard therapy (control) for prevention of relapse in subjects with schizophrenia and schizoaffective disorder is presented...
متن کاملSample Size Issues and Power
1 USP 656 Multilevel Regression Winter 2013 Sample Size Issues and Power There are two sample size issues to be concerned about. One issue has to do with the minimum number of cases needed for using multilevel regression to avoid biases. The second issue concerns sufficient statistical power needed for obtaining significance. Generally, having more groups is more important than having more case...
متن کاملSample Size Issues and Power
Psy 510/610 Multilevel Regression, Spring 2017 1 Sample Size Issues and Power There are two sample size issues to be concerned about. One issue has to do with the minimum number of cases needed for using multilevel regression to avoid biases. The second issue concerns sufficient statistical power needed for obtaining significance. Generally, having more groups is more important than having more...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Environmental Research and Public Health
سال: 2013
ISSN: 1660-4601
DOI: 10.3390/ijerph10105239