Statistical modelling of survival data with random effects : H-likelihood approach /: H-likelihood approach. (2018)
- Record Type:
- Book
- Title:
- Statistical modelling of survival data with random effects : H-likelihood approach /: H-likelihood approach. (2018)
- Main Title:
- Statistical modelling of survival data with random effects : H-likelihood approach
- Further Information:
- Note: Il Do Ha, Jong-Hyeon Jeong, Youngjo Lee.
- Authors:
- Ha, Il Do
Jeong, Jong-Hyeon
Lee, Youngjo - 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 FrailtyChapter 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. … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2018
- Extent:
- 1 online resource
- Subjects:
- 610.72/7
Survival analysis (Biometry)
Clinical trials -- Statistical methods
HEALTH & FITNESS / Holism
HEALTH & FITNESS / Reference
MEDICAL / Alternative Medicine
MEDICAL / Atlases
MEDICAL / Essays
MEDICAL / Family & General Practice
MEDICAL / Holistic Medicine
MEDICAL / Osteopathy
Clinical trials -- Statistical methods
Survival analysis (Biometry)
Electronic books - Languages:
- English
- ISBNs:
- 9789811065576
9811065578 - Related ISBNs:
- 9789811065552
9811065551 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed January 10, 2018) - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.406402
- Ingest File:
- 02_476.xml