Interval-censored time-to-event data : methods and applications / edited by Ding-Geng (Din) Chen, Jianguo Sun, Karl E. Peace.
Material type:
TextSeries: Chapman & Hall/CRC biostatistics series ; 52.Publication details: Boca Raton : CRC Press, 2013.Description: xxviii, 405 p. : ill. ; [ca. 23-29] cmISBN: - 9781466504257
- QA276 .I58 2013
- Also available as an electronic resource.
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.05 C518 (Browse shelf(Opens below)) | Available | 135167 |
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| No cover image available | No cover image available | No cover image available | ||||||
| 000SA.043=4 Theorie de la correlation | 000SA.05 B623 Some distribution-free two-sample tests applicable to high dimension, low sample size data / | 000SA.05 B821 Data analysis : | 000SA.05 C518 Interval-censored time-to-event data : | 000SA.05 D256 Data analysis and approximate models : | 000SA.05 D621 Introduction to statistical analysis | 000SA.05 G537 Statistical models for data analysis / |
"A Chapman & Hall book."
Includes bibliographical references and index.
1. Introduction and overview -- 2. Methodology -- 3. Applications and related software.
"Preface The aim of this book is to present in a single volume an overview and latest developments in time-to-event interval-censored methods along with application of such methods. The book is divided into three parts. Part I provides an introduction and overview of time-to-event methods for interval-censored data. Methodology is presented in Part II. Applications and related software appear in Part III. Part I consists of two chapters. In Chapter 1, Sun and Li present an overview of recent developments, with attention to nonparametric estimation and comparison of survival functions, regression analysis, analysis of multivariate clustered- and analysis of competing risks interval-censored data. In Chapter 2, Yu and Hsu provide a review of models for interval-censored (IC) data, including: independent interval censorship models, the full likelihood model, various models for C1, C2, and MIC data as well as multivariate IC models. Part II consists of seven chapters (3-9). Chapters 3, 4 and 5 deal with interval-censored methods for current status data. In Chapter 3, Banerjee presents: likelihood based inference, more general forms of interval censoring, competing risks, smoothed estimators, inference on a grid, outcome misclassi- cation, and semiparametric models. In Chapter 4, Zhang presents regression analyses using the proportional hazards model, the proportional odds model, and a linear transformation model, as well as considering bivariate current status data with the proportional odds model. In Chapter 5, Kim, Kim, Nam and Kim develop statistical analysis methods for dependent current status data and utilize the R Package CSD to analyze such data"-- Provided by publisher.
Also available as an electronic resource.
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