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Statistical Methods for Rates & Proportions Bruce Levin, Joseph Fleiss, Joseph L. Fleiss, Myunghee Cho Paik
Publisher: Wiley-Interscience

If the patient was unable to perform a test for a muscle group, we assigned .. Statistical methods for rates and proportions - Joseph L. Among the identified genes we found that MMP-3 was significantly upregulated in good responders (log2 fold change Fleiss JL: Statistical Methods for Rates and Proportions. Age and sex-specific prevalence's for the four surveys were estimated using all definitive HIV-1 serological results for each survey. This article will (2004b) tppfp augmentation method, and discover the E- Bayes/Bootstrap TPPFP method is less conservative, therefore rejecting more tests at a specific alpha level. Fleiss JL, Levin BA, Paik MC: Statistical Methods for Rates and Proportions. In these situations, one is often interested in controlling the Type-I error rate, such as the proportion of false positives to total rejections (TPPFP) at a specific level, alpha. Level of agreement was calculated by both absolute agreement and Cohen's kappa statistic (k), a measure of the agreement between two methods in excess of that due to chance [22]. (Wiley Series in Probability and Statistics). This article describes some commonly used criteria for controlling false positive errors, including familywise error rates, false discovery rates and false discovery proportion rates. The data also revealed significant differences between the good responding and nonresponding patients (279 differentially expressed genes were detected, with a false discovery rate < 0.025). The response proportion for each survey was calculated by dividing the number of participants by the number of listed eligible in that particular survey. Modeling Rates and Proportions in SAS – 8. Prevalence estimates are a function of incidence rates, mortality and migration and in mature epidemics the use of incidence rates seems appropriate [11]. Materials and methods We calculated statistics (means ± standard deviation (SD), medians with interquartile range (IQR) and proportion or binomial confidence interval (CI)) to describe the cohort. Wiley Series in Probability and Statistics - Wiley Online Library ABOUT THIS BOOK SERIES.. We calculated one MRC sum score for each observer per patient. This study concluded that slight difference was found between the positivity rate of HR-HPV infection detected by the HC-II and PCR assay in OSMF and OSCC cases and the HC II assay seemed to have better sensitivity in case of OSCC.