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Regression modeling strategies : with applications to linear models, logistic and ordinal regression, and survival analysis / Frank E. Harrell, Jr [electronic resource]

By: Material type: Computer fileComputer filePublication details: Cham, Switzerland : Springer, 2015Edition: Second editionDescription: 1 online resource (xxv, 582 pages) : illustrations (some color)ISBN:
  • 9783319194257 (E-book)
Subject(s): LOC classification:
  • QA 278.2 H37R 2015
Online resources:
Contents:
Introduction -- General Aspects of Fitting Regression Models -- Missing Data -- Multivariable Modeling Strategies -- Describing, Resampling, Validating and Simplifying the Model -- R Software -- Modeling Longitudinal Responses using Generalized Least Squares -- Case Study in Data Reduction -- Overview of Maximum Likelihood Estimation -- Binary Logistic Regression -- Binary Logistic Regression Case Study 1 -- Logistic Model Case Study 2: Survival of Titanic Passengers -- Ordinal Logistic Regression -- Case Study in Ordinal Regression, Data Reduction and Penalization.- Regression Models for Continuous Y and Case Study in Ordinal Regression -- Transform-Both-Sides Regression -- Introduction to Survival Analysis -- Parametric Survival Models -- Case Study in Parametric Survival Modeling and Model Approximation -- Cox Proportional Hazards Regression Model -- Case Study in Cox Regression
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Holdings
Item type Current library Collection Shelving location Call number Status Barcode Course reserves
E-Book E-Book SPU Library, Bangkok (Main Campus) Electronic Resources On Display QA 278.2 H37R 2015 (Browse shelf(Opens below)) Available 9783319194257

ความน่าจะเป็นและสถิติ (PROBABILITY AND STATISTICS) ภาคการศึกษาที่ 1

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Includes bibliographical references and index

Introduction -- General Aspects of Fitting Regression Models -- Missing Data -- Multivariable Modeling Strategies -- Describing, Resampling, Validating and Simplifying the Model -- R Software -- Modeling Longitudinal Responses using Generalized Least Squares -- Case Study in Data Reduction -- Overview of Maximum Likelihood Estimation -- Binary Logistic Regression -- Binary Logistic Regression Case Study 1 -- Logistic Model Case Study 2: Survival of Titanic Passengers -- Ordinal Logistic Regression -- Case Study in Ordinal Regression, Data Reduction and Penalization.- Regression Models for Continuous Y and Case Study in Ordinal Regression -- Transform-Both-Sides Regression -- Introduction to Survival Analysis -- Parametric Survival Models -- Case Study in Parametric Survival Modeling and Model Approximation -- Cox Proportional Hazards Regression Model -- Case Study in Cox Regression

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