Survival Analysis with Python - Couverture rigide

Nag, Avishek

 
9781032148267: Survival Analysis with Python
Couverture rigide
ISBN 10 : 1032148268 ISBN 13 : 9781032148267
Editeur : Auerbach Publications, 2021

Synopsis

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.

        Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

        À propos de l?auteur

        Avishek Nag has a Masters of Technology Degree in data analytics and machine learning from Birla Institute of Technology and Science, Pilani, India. He has more than 15 years of experience in Software Development and Architecting Systems. He also has professional experience in data science and machine learning, Java, Python, Big Data, including Spark and MongoDB. He has worked at VMWare, Cisco, Mobile Iron, and Computer Science Corporation (now called DXC). He is also the author of the book Pragmatic Machine Learning with Python, which is recommended in the ACM Education Digital Library.

        Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

        Éditeur
        Auerbach Publications
        Date d'édition
        2021
        Langue
        anglais
        ISBN 10 
        1032148268
        ISBN 13 
        9781032148267
        Reliure
        Relié
        Nombre de pages
        83
        Coordonnées du fabricant
        non disponible
        Personne responsable
        gpsr@libri.de
        gpsr@libri.de

        Friedensallee 273
        Hamburg
        22763
        Allemagne

        Autres éditions populaires du même titre

        9781032073675: Survival Analysis with Python

        Edition présentée

        ISBN 10 :  1032073675 ISBN 13 :  9781032073675
        Editeur : Routledge, 2021
        Couverture souple