{"product_id":"survival-analysis-with-python-hardcover","title":"Survival Analysis with Python - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAvishek Nag\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSurvival analysis uses statistics to calculate time to failure\u003cb\u003e. Survival Analysis with Python \u003c\/b\u003etakes a fresh look at this complex subject by explaining how to use the Python programming language to perform this type of analysis. As the subject itself is very mathematical and full of expressions and formulations, the book provides detailed explanations and examines practical implications. The book begins with an overview of the concepts underpinning statistical survival analysis. It then delves into\u003c\/p\u003e\u003cul\u003e \u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e \u003cli\u003eParametric models with coverage of\u003c\/li\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eConcept of maximum likelihood estimate (MLE) of a probability distribution parameter\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eMLE of the survival function\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eCommon probability distributions and their analysis\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eAnalysis of exponential distribution as a survival function\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eAnalysis of Weibull distribution as a survival function\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eDerivation of Gumbel distribution as a survival function from Weibull\u003c\/li\u003e \u003c\/ul\u003e \u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e \u003cli\u003eNon-parametric models including\u003c\/li\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eKaplan-Meier (KM) estimator, a derivation of expression using MLE\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eFitting KM estimator with an example dataset, Python code and plotting curves\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eGreenwood's formula and its derivation\u003c\/li\u003e \u003c\/ul\u003e \u003cb\u003e \u003c\/b\u003e\u003cp\u003e \u003c\/p\u003e \u003cli\u003eModels with covariates explaining\u003c\/li\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eThe concept of time shift and the accelerated failure time (AFT) model\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eWeibull-AFT model and derivation of parameters by MLE\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eProportional Hazard (PH) model\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eCox-PH model and Breslow's method\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eSignificance of covariates\u003c\/li\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eSelection of covariates\u003c\/li\u003e \u003c\/ul\u003e \u003c\/ul\u003e\u003cp\u003eThe Python \u003ci\u003elifelines \u003c\/i\u003elibrary is used for coding examples. By mapping theory to practical examples featuring datasets, this book is a hands-on tutorial as well as a handy reference.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 84\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.25 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 17, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52483962536243,"sku":"9781032148267","price":141.44,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/MFB0ZGVKcXFPUnpGYlFuTzMzQUdqUT09.webp?v=1759773520","url":"https:\/\/www.vysn.com\/products\/survival-analysis-with-python-hardcover","provider":"VYSN","version":"1.0","type":"link"}