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Statistical modelling of survival data with random effects : H-likelihood approach

Author: Il Do Ha; Jong-Hyeon Jeong; Youngjo Lee
Publisher: Singapore : Springer, 2018.
Series: Statistics for biology and health.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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This book provides a groundbreaking introduction to the likelihood inference for correlated survival data via the hierarchical (or h-) likelihood in order to obtain the (marginal) likelihood and to  Read more...

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Genre/Form: Electronic books
Additional Physical Format: (OCoLC)1000601101
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Il Do Ha; Jong-Hyeon Jeong; Youngjo Lee
ISBN: 9789811065576 9811065578
OCLC Number: 1018307611
Description: 1 online resource
Contents: Chapter 1: Introduction.- 1.1: Goals.- 1.2: Motivating Examples.- 1.2.1: Kidney Infection Data.- 1.2.2: Litter-Matched Rat Data.- 1.2.3: CGD recurrent Data.- 1.2.4: Bladder Cancer Multi-Center Data.- 1.2.5: Lung Cancer Multi-Center Data.- 1.2.6: Breast Cancer Competing Risks Data.- 1.3: Classical Survival Analysis.- 1.3.1: Hazard and Survival Function.- 1.3.2: Basic Likelihood Inference.- 1.3.3: Cox-PH Models.- 1.3.4: Accelerated Failure Time Models.- 1.4: Overview.- Chapter 2: H-likelihood.- 2.1: Definition of H-likelihood.- 2.2: Random Effect Models.- 2.3: Inferential Procedures.- 2.4: Deviances based on H-likelihood.- 2.5: Comparison of H-and Marginal likelihoods.- 2.6: Discussion and Further Reading.- 2.7: Appendix.- Chapter 3: Simple Frailty Models.- 3.1: Features of Correlated Survival Data.- 3.2: The Model and H-likelihood.- 3.3: Inferential Procedures using R.- 3.4: Interval estimation of Frailty.- 3.5: Variable Selection.- 3.6: Discussion and Further Reading.- 3.7: Appendix.- Chapter 4: Multi-Component Frailty Models.- 4.1: Multi-Component Frailty Models.- 4.1.1: Multilevel (Nested) Frailties.- 4.1.2: Time-Dependent Frailties.- 4.1.3: Correlated Frailties.- 4.2: Extension of Inferential Procedures.- 4.3: Model Selection.- 4.4: Software and Examples using R.- 4.5: Discussion and Further Reading.- 4.6: Appendix.- Chapter 5: Competing Risks Frailty Models.- 5.1: Features of Competing Risks Data.- 5.2: Classical Competing-Risk Models.- 5.3: Cause-Specific Hazard Frailty Models.- 5.4: Subdistribution hazard Frailty Models.- 5.5: Semi-Competing Risks Frailty Models.- 5.6: Software and Examples using R.- 5.7: Discussion and Further Reading.- 5.8: Appendix.- Chapter 6: Mixed-Effect Survival Models.- 6.1: Mixed linear Models with Censoring.- 6.2: Multilevel Mixed Models with Censoring.- 6.3: Genetic Mixed Models under LTRC.- 6.4: Software and Examples using SAS/IML.- 6.5: Discussion and Further Reading.- 6.6: Appendix.- Chapter 7: Special Topics.- 7.1: Dispersion Frailty Models.- 7.2: Frailty Models for Interval-Censored Data.- 7.3: Non-PH Frailty Models.- 7.4: Joint Survival Models.- 7.5: Frailty modelling for Missing Cause of Failure.- 7.6: Discussion and Further Reading
Series Title: Statistics for biology and health.
Responsibility: Il Do Ha, Jong-Hyeon Jeong, Youngjo Lee.

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