{"product_id":"9781118210963","title":"Statistical Meta-Analysis with Applications","description":"\u003cb\u003eAn accessible introduction to performing meta-analysis across various areas of research\u003c\/b\u003e \u003cp\u003eThe practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies.\u003c\/p\u003e \u003cp\u003eTwo main types of statistical analysis serve as the foundation of the methods and techniques: combining tests of effect size and combining estimates of effect size. Additional topics covered include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eMeta-analysis regression procedures\u003c\/li\u003e \u003cli\u003e \u003cp\u003eMultiple-endpoint and multiple-treatment studies\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eThe Bayesian approach to meta-analysis\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003ePublication bias\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eVote counting procedures\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMethods for combining individual tests and combining individual estimates\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eUsing meta-analysis to analyze binary and ordinal categorical data\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eNumerous worked-out examples in each chapter provide the reader with a step-by-step understanding of the presented methods. All exercises can be computed using the R and SAS software packages, which are both available via the book's related Web site. Extensive references are also included, outlining additional sources for further study.\u003c\/p\u003e \u003cp\u003eRequiring only a working knowledge of statistics, \u003ci\u003eStatistical Meta-Analysis with Applications\u003c\/i\u003e is a valuable supplement for courses in biostatistics, business, public health, and social research at the upper-undergraduate and graduate levels. It is also an excellent reference for applied statisticians working in industry, academia, and government.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47113774924016,"sku":"9781118210963","price":149.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9781118210963_p0.jpg?v=1763692949","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9781118210963","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}