Survival Analysis with Python - Hardcover

Nag, Avishek

 
9781032148267: Survival Analysis with Python
Hardcover
ISBN 10: 1032148268 ISBN 13: 9781032148267
Verlag: Auerbach Publications, 2021

Inhaltsangabe

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.

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        Über die Autorin bzw. den Autor

        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.

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        Verlag
        Auerbach Publications
        Erscheinungsdatum
        2021
        Sprache
        Englisch
        ISBN 10 
        1032148268
        ISBN 13 
        9781032148267
        Einband
        Gebundene Ausgabe
        Auflage
        1
        Anzahl der Seiten
        83
        Kontakt zum Hersteller
        Nicht verfügbar
        Verantwortliche Person
        gpsr@libri.de
        gpsr@libri.de

        Friedensallee 273
        Hamburg
        22763
        Deutschland

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