Statistical Modelling of Survival Data with Random Effects
Home > Medicine > Medicine: general issues > Health systems & services > Statistical Modelling of Survival Data with Random Effects
Statistical Modelling of Survival Data with Random Effects

Statistical Modelling of Survival Data with Random Effects


     0     
5
4
3
2
1



Available


About the Book

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
About the Author: Il Do Ha is a full professor in the Department of Statistics at Pukyong National University in South Korea. His research interests are multivariate survival analysis using h-likelihood, inferences on random-effect models, clinical trials and financial statistics. Dr. Ha received his Ph.D. degree in statistics from Seoul National University. He has served as an Associate Editor of Computational Statistics until 2008-2012 and has been a fellow of the Royal Statistical Society (RSS) since 2006. Jong-Hyeon Jeong is a full professor in the Department of Biostatistics at University of Pittsburgh in USA. His research interests are in survival analysis, including competing risks, quantile residual life, empirical likelihood, h-likelihood, frailty model and clinical trials. He has published his first book with Springer: Jeong, J.-H. (2014) Statistical Inference on Residual Life, New York: Springer. Dr. Jeong received his Ph.D. degree in statistics from University of Rochester. He has been a fellow of the American Statistical Association (ASA) since 2017 as well as an elected member of the international Statistical Institute (ISI) since 2007. Dr. Jeong is also serving on the editorial board for the journal "Lifetime Data Analysis". Youngjo Lee is a full professor in the Department of Statistics at Seoul National University in South Korea and also an adjunct professor of Karolinska Institutet in Sweden. His research interests are extension, application, theory and software development for hierarchical GLM (HGLM) and multivariate survival models using h-likelihood. He has published a HGLM book with Chapman and Hall: Lee, Y., Nelder, J. A. and Pawitan, Y. (2017) Generalized Linear Models with Random Effects: Unified Analysis via H-likelihood, 2nd edition, Boca Raton: Chapman and Hall. Dr. Lee received his Ph.D. degree in statistics from Iowa State University. He has been a fellow of the Royal Statistical Society (RSS) since 1996 as well as the American Statistical Association (ASA) since 2013.


Best Sellers



Product Details
  • ISBN-13: 9789811065552
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Edition: Statistics for Biology and Health
  • Language: English
  • Returnable: Y
  • Spine Width: 18 mm
  • Weight: 648 gr
  • ISBN-10: 9811065551
  • Publisher Date: 04 Feb 2018
  • Binding: Hardback
  • Height: 234 mm
  • No of Pages: 283
  • Series Title: Statistics for Biology and Health
  • Sub Title: H-Likelihood Approach
  • Width: 156 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Statistical Modelling of Survival Data with Random Effects
Springer -
Statistical Modelling of Survival Data with Random Effects
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Statistical Modelling of Survival Data with Random Effects

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!