{"product_id":"modern-bayesian-statistics-in-clinical-research-9783319927466","title":"Modern Bayesian Statistics in Clinical Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe current textbook has been written as a help to medical \/ health professionals and students for the study of modern Bayesian statistics, where posterior and prior odds have been replaced with posterior and prior likelihood distributions. Why may likelihood distributions better than normal distributions estimate uncertainties of statistical test results? Nobody knows for sure, and the use of likelihood distributions instead of normal distributions for the purpose has only just begun, but already everybody is trying and using them. SPSS statistical software version 25 (2017) has started to provide a combined module entitled Bayesian Statistics including almost all of the modern Bayesian tests (Bayesian t-tests, analysis of variance (anova), linear regression, crosstabs etc.). \u003c\/p\u003e  \u003cp\u003eModern Bayesian statistics is based on biological likelihoods, and may better fit clinical data than traditional tests based normal distributions do. This is the first edition to systematically imply modern Bayesian statistics in traditional clinical data analysis. This edition also demonstrates that Markov Chain Monte Carlo procedures laid out as Bayesian tests provide more robust correlation coefficients than traditional tests do. It also shows that traditional path statistics are both textually and conceptionally like Bayes theorems, and that structural equations models computed from them are the basis of multistep regressions, as used with causal Bayesian networks.  \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cb\u003ePreface\u003c\/b\u003e\u003cp\u003e\u003cb\u003eChapter 1\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eGeneral Introduction to Modern Bayesian Statistics  \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 2\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eTraditional Bayes: Diagnostic Tests, Genetic Research, \u003c\/b\u003e\u003cb\u003eBayes and Drug Trials \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 3\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Tests for One Sample Continuous Data\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 4\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Tests for One Sample Binary Data \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 5\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Paired T-Tests \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 6\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Unpaired T-Tests \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 7\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Regressions    \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 8\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Analysis of Variance (Anova)                                          \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 9\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Loglinear Regression                                                        \u003c\/b\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 10\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Poisson Rate Analysis \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 11\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Pearson Correlations                                                        \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 12\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Statistics: Markov Chain Monte Carlo Sampling\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eChapter 13\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayes and Causal Relationships                                           \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003cb\u003eChapter 14\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eBayesian Network                                                                         \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003cbr\u003e\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eIndex                                                                                                  \u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e \u003c\/p\u003e  \u003cp\u003e      \u003c\/p\u003e","brand":"Springer International Publishing AG","offers":[{"title":"Default Title","offer_id":48743109853527,"sku":"9783319927466","price":71.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783319927466.jpg?v=1720064152","url":"https:\/\/bookcurl.com\/products\/modern-bayesian-statistics-in-clinical-research-9783319927466","provider":"Book Curl","version":"1.0","type":"link"}