Statistical Methods for Rates & Proportions by Bruce Levin, Joseph Fleiss, Joseph L. Fleiss, Myunghee Cho Paik

Statistical Methods for Rates & Proportions



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Statistical Methods for Rates & Proportions Bruce Levin, Joseph Fleiss, Joseph L. Fleiss, Myunghee Cho Paik ebook
Page: 793
Format: pdf
Publisher: Wiley-Interscience
ISBN: 0471526290, 9780471526292


Why would one need a statistical test to compare campaign response rates ??? Fleiss JL: Statistical methods for rates and proportions. The methods for estimating the proportion of cases due to recent transmission by using cluster analysis are discussed. New York: John Wiley and Sons; 1981. It is certainly true that a blind application and reliance on statistical methods without a good understanding of how to interpret the results can be dangerous - but this is not a failing of the methods. However, the proportion successfully typed (sampling rate) is, of course, known. Actually the study authors cited "Statistical Methods for Rates and Proportions" by Fleiss et al (link), but I wasn't able to get ahold of the book. Modeling Rates and Proportions in SAS – 8. Likewise, the Department of Health and Human services [11] provides selected readmission rates as part of Hospital Compare's efforts to 'promote reporting on hospital quality of care' and Thomson Reuters uses the measure in their annual 100 Top Hospitals List [12]. I mean they'll tell you whether one is statistically . I love statistics and always look for ways to incorporate them in my every day work but. Throughout this discussion the words 'sample' and 'population' will have these specific meanings. 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). 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. To use statistical nomenclature, the cases that are successfully typed thus constitute our 'sample' from the 'population' of the sputum confirmed TB subjects. In addition, we noted any models or reasoning that tied the index condition to the readmission, methods to guard against lost to follow-up or selection bias, and statistical methods.