{"product_id":"survival-analysis-for-epidemiologic-and-medical-research-practical","title":"Survival Analysis for Epidemiologic and Medical Research - Practical","description":"\u003cp\u003eIn this review of Survival Analysis for Epidemiologic and Medical Research, the bottom line is clear: this is a pragmatic, theory-grounded text for researchers who need to analyze time-to-event data. The book is written as a practical guide and its biggest selling point is that it explains why common survival methods work while showing how to implement and interpret them in applied epidemiology and medical research. Readers who want more than formulae - those who want intuition, discussion of bias and confounding, and concrete analytic strategy - will find this a solid, accessible reference.\u003c\/p\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePractical explanation:\u003c\/strong\u003e The text shows why analytic methods work, helping readers understand the logic behind common survival techniques rather than just presenting formulas.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eApplied focus:\u003c\/strong\u003e Examples and guidance are aimed at effective analysis and interpretation of epidemiologic and medical survival data using modern computing tools.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStatistical breadth:\u003c\/strong\u003e The introduction reviews statistical methods such as tests, transformations, and confidence intervals that are broadly useful beyond survival analysis.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConceptual clarity:\u003c\/strong\u003e Discussions of bias, confounding, independence, and interaction are framed in the survival context to clarify how these issues affect time-to-event studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModeling guidance:\u003c\/strong\u003e Analytic modeling is presented in a way that connects statistical theory to practical modeling decisions when working with survival data.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis book is best suited for epidemiologists, biostatisticians, clinical researchers, and graduate students who need a clear guide to survival analysis with attention to interpretation and applied modeling. It works well for professionals who already have a basic statistics background and want to extend that knowledge to time-to-event data.\u003c\/p\u003e\n\u003cp\u003eThose looking for a purely introductory text with minimal mathematics or for an exhaustive mathematical treatise on asymptotic theory should look elsewhere; this book occupies a middle ground emphasizing practical application and conceptual understanding rather than deep theoretical proofs or beginner-level hand-holding.\u003c\/p\u003e\n\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eClear emphasis on why methods work, which builds intuition for applied analysis.\u003c\/li\u003e\n\u003cli\u003eFocus on interpretation makes it useful for medical researchers reporting results and drawing conclusions.\u003c\/li\u003e\n\u003cli\u003eIncludes broad statistical tools like confidence intervals and transformations that are helpful across analyses.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot a step-by-step beginner workbook; readers without basic statistics may need supplemental introductory material.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eSurvival Analysis for Epidemiologic and Medical Research\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSeries\u003c\/td\u003e\n\u003ctd\u003ePractical Guides to Biostatistics and Epidemiology\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor\u003c\/td\u003e\n\u003ctd\u003eSteve Selvin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubject\u003c\/td\u003e\n\u003ctd\u003eSurvival analysis, epidemiology, biostatistics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFocus\u003c\/td\u003e\n\u003ctd\u003eAnalysis and interpretation of medical and epidemiologic survival data\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eApproach\u003c\/td\u003e\n\u003ctd\u003ePractical explanation with discussion of bias, confounding, and modeling\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eSurvival Analysis for Epidemiologic and Medical Research is a strong value for researchers who need a practical, concept-driven guide to time-to-event methods. It balances statistical tools and applied interpretation, making it a recommended reference for epidemiologists and clinicians who perform survival analyses and want to justify analytic choices and interpret results confidently.\u003c\/p\u003e\n\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this book cover software implementations?\u003c\/strong\u003e\u003cbr\u003eThe description emphasizes use with modern computer systems and focuses on applying methods, though it is not a software manual.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs prior statistical knowledge required?\u003c\/strong\u003e\u003cbr\u003eYes; the book assumes basic familiarity with statistical concepts and is aimed at readers who can build on that foundation.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDoes it address bias and confounding?\u003c\/strong\u003e\u003cbr\u003eYes, the book presents discussions of bias, confounding, independence, and interaction within the survival analysis context.\u003c\/p\u003e","brand":"Steve Selvin","offers":[{"title":"Default Title","offer_id":48197442306267,"sku":"0521719372","price":42.04,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/61fdU9OCssL._SL1360.jpg?v=1769609886","url":"https:\/\/gearmusthave.com\/products\/survival-analysis-for-epidemiologic-and-medical-research-practical","provider":"GearMustHave","version":"1.0","type":"link"}