{"product_id":"statistical-hypothesis-testing-in-context-volume-52-reproducibility-inference-and-science-hardback-9781108423564","title":"Statistical Hypothesis Testing in Context: Volume 52; Reproducibility, Inference, and Science (Hardback) 9781108423564","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eStatistical Hypothesis Testing in Context: Volume 52\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eReproducibility, Inference, and Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eThis coherent guide equips applied statisticians to make good choices and proper interpretations in real investigations facing real data.\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMichael P. Fay (Author), Erica H. Brittain (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781108423564, Cambridge University Press\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 5 May 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e448 pages\u003cbr\u003e25.9 x 18.2 x 2.9 cm, 0.98 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e'Congratulations to Fay and Brittain for this wonderful reference book that does what its somewhat unusual title suggests: puts hypothesis testing in the context of science. The vast coverage of topics, extensive bibliography and notes, and easy to understand explanations make 'Statistical Hypothesis Testing in Context: Reproducibility, Inference, and Science' an indispensable tool in the arsenal of any applied or theoretical statistician or biostatistician. I enthusiastically recommend buying the book!' Michael A. Proschan, National Institute of Allergy and Infectious Diseases\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eFay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with Wilcoxon-Mann-Whitney tests and Kaplan-Meier estimates. Examples, exercises, and the R package asht support practical use.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Introduction\u003cbr\u003e 2. Theory of tests, p-values, and confidence intervals\u003cbr\u003e 3. From scientific theory to statistical hypothesis test\u003cbr\u003e 4. One sample studies with binary responses\u003cbr\u003e 5. One sample studies with ordinal or numeric responses\u003cbr\u003e 6. Paired data\u003cbr\u003e 7. Two sample studies with binary responses\u003cbr\u003e 8. Assumptions and hypothesis tests\u003cbr\u003e 9. Two sample studies with ordinal or numeric responses\u003cbr\u003e 10. General methods for creating decision rules\u003cbr\u003e 11. K-Sample studies and trend tests\u003cbr\u003e 12. Clustering and stratification\u003cbr\u003e 13. Multiplicity in testing\u003cbr\u003e 14. Testing from models\u003cbr\u003e 15. Causality\u003cbr\u003e 16. Censoring\u003cbr\u003e 17. Missing data\u003cbr\u003e 18. Group sequential and related adaptive methods\u003cbr\u003e 19. Testing fit, equivalence, and non-inferiority\u003cbr\u003e 20. Power and sample size.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Probability \u0026amp; statistics [\u003ca title=\"See our other books on Probability \u0026amp; statistics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Probability%20\u0026amp;%20statistics%20%5BPBT%5D%22\"\u003ePBT\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":46003279560984,"sku":"9781108423564","price":45.66,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781108423564i.jpg?v=1696694942","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/statistical-hypothesis-testing-in-context-volume-52-reproducibility-inference-and-science-hardback-9781108423564","provider":"Freshly Printed Books","version":"1.0","type":"link"}