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Survival Analysis with Python

Avishek Nag
4.9/5 (10157 ratings)
Read Now Download Now ⏭ listen AudioBook
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 ofConcept of maximum likelihood estimate (MLE) of a probability distribution parameterMLE of the survival functionCommon probability distributions and their analysisAnalysis of exponential distribution as a survival functionAnalysis of Weibull distribution as a survival functionDerivation of Gumbel distribution as a survival function from Weibull Non-parametric models includingKaplan–Meier (KM) estimator, a derivation of expression using MLEFitting KM estimator with an example dataset, Python code and plotting curvesGreenwood’s formula and its derivation Models with covariates explainingThe concept of time shift and the accelerated failure time (AFT) modelWeibull-AFT model and derivation of parameters by MLEProportional Hazard (PH) modelCox-PH model and Breslow’s methodSignificance of covariatesSelection 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Survival Analysis with Python. To get started finding Survival Analysis with Python, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
0
Format
PDF, EPUB & Kindle Edition
Publisher
Auerbach Publications
Release
2021
ISBN
1000520676

Survival Analysis with Python

Avishek Nag
4.4/5 (1290744 ratings)
Read Now Download now ⏭ listen AudioBook
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 ofConcept of maximum likelihood estimate (MLE) of a probability distribution parameterMLE of the survival functionCommon probability distributions and their analysisAnalysis of exponential distribution as a survival functionAnalysis of Weibull distribution as a survival functionDerivation of Gumbel distribution as a survival function from Weibull Non-parametric models includingKaplan–Meier (KM) estimator, a derivation of expression using MLEFitting KM estimator with an example dataset, Python code and plotting curvesGreenwood’s formula and its derivation Models with covariates explainingThe concept of time shift and the accelerated failure time (AFT) modelWeibull-AFT model and derivation of parameters by MLEProportional Hazard (PH) modelCox-PH model and Breslow’s methodSignificance of covariatesSelection 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Survival Analysis with Python. To get started finding Survival Analysis with Python, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
0
Format
PDF, EPUB & Kindle Edition
Publisher
Auerbach Publications
Release
2021
ISBN
1000520676

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