{"product_id":"9781032073675","title":"Survival Analysis with Python","description":"Survival analysis uses statistics to calculate time to failure. Survival Analysis with Python takes 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   Parametric models with coverage of  Concept of maximum likelihood estimate (MLE) of a probability distribution parameter  MLE of the survival function  Common probability distributions and their analysis  Analysis of exponential distribution as a survival function  Analysis of Weibull distribution as a survival function  Derivation of Gumbel distribution as a survival function from Weibull    Non-parametric models including  Kaplan–Meier (KM) estimator, a derivation of expression using MLE  Fitting KM estimator with an example dataset, Python code and plotting curves  Greenwood’s formula and its derivation    Models with covariates explaining  The concept of time shift and the accelerated failure time (AFT) model  Weibull-AFT model and derivation of parameters by MLE  Proportional Hazard (PH) model  Cox-PH model and Breslow’s method  Significance of covariates  Selection of covariates The Python lifelines library 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.","brand":"Survival Analysis with Python","offers":[{"title":"Default Title","offer_id":50464716095806,"sku":"9781032073675","price":1179.09,"currency_code":"ZAR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4357\/7662\/files\/9781032073675.jpg?v=1745437135","url":"https:\/\/exclusivebooks.co.za\/products\/9781032073675","provider":"Exclusive Books Online","version":"1.0","type":"link"}