Tracked shipping to Austria with premium packaging for just 3,99 € 

Ship to
Austria
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Interval-Censored Time-To-Event Data (Chapman & Hall
Type
Physical Book
Publisher
Author
Language
English
Pages
434
Format
Paperback
ISBN13
9780367576752
Edition No.
1

Interval-Censored Time-To-Event Data (Chapman & Hall

Ding-Geng Chen (Editor), Jianguo Sun (Editor), Karl E. Peace (Editor) (Author) · Routledge · Paperback

Interval-Censored Time-To-Event Data (Chapman & Hall - Ding-Geng Chen (Editor), Jianguo Sun (Editor), Karl E. Peace (Editor)

Cheaper New Book Imported to Austria
Delivery: 12 Aug - 17 Aug Shipping: 13 to 15 business days.
73,87 €
Faster New Book Imported to Austria
Delivery: 31 Jul - 04 Aug Shipping: 5 to 6 business days.
89,00 €
Import costs and 10% VAT included in the price ✅
73,87 €

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Interval-Censored Time-To-Event Data (Chapman & Hall "

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for interval-censored time-to-event data. Top biostatisticians from academia, biopharmaceutical industries, and government agencies discuss how these advances are impacting clinical trials and biomedical research.Divided into three parts, the book begins with an overview of interval-censored data modeling, including nonparametric estimation, survival functions, regression analysis, multivariate data analysis, competing risks analysis, and other models for interval-censored data. The next part presents interval-censored methods for current status data, Bayesian semiparametric regression analysis of interval-censored data with monotone splines, Bayesian inferential models for interval-censored data, an estimator for identifying causal effect of treatment, and consistent variance estimation for interval-censored data. In the final part, the contributors use Monte Carlo simulation to assess biases in progression-free survival analysis as well as correct bias in interval-censored time-to-event applications. They also present adaptive decision making methods to optimize the rapid treatment of stroke, explore practical issues in using weighted logrank tests, and describe how to use two R packages.A practical guide for biomedical researchers, clinicians, biostatisticians, and graduate students in biostatistics, this volume covers the latest developments in the analysis and modeling of interval-censored time-to-event data. It shows how up-to-date statistical methods are used in biopharmaceutical and public health applications.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews