Author: D. M. DabrowskaPublisher:
ISBN:
Category :
Languages : en
Pages : 78
Book Description
Nonparametric Regression with Censored Survival Time Data
Author: D. M. DabrowskaNonparametric Regression with Randomly Censored Survival Data
Author: Rudolf J. BeranPublisher:
ISBN:
Category : Probabilities
Languages : en
Pages : 38
Book Description
Survival Analysis Using S
Author: Mara TablemanPublisher: CRC Press
ISBN: 0203501411
Category : Mathematics
Languages : en
Pages : 277
Book Description
Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probability and statistics, and a course in applied linear regression models. No prior knowledge of S or R is assumed. A wide choice of exercises is included, some intended for more advanced students with a first course in mathematical statistics. The authors emphasize parametric log-linear models, while also detailing nonparametric procedures along with model building and data diagnostics. Medical and public health researchers will find the discussion of cut point analysis with bootstrap validation, competing risks and the cumulative incidence estimator, and the analysis of left-truncated and right-censored data invaluable. The bootstrap procedure checks robustness of cut point analysis and determines cut point(s). In a chapter written by Stephen Portnoy, censored regression quantiles - a new nonparametric regression methodology (2003) - is developed to identify important forms of population heterogeneity and to detect departures from traditional Cox models. By generalizing the Kaplan-Meier estimator to regression models for conditional quantiles, this methods provides a valuable complement to traditional Cox proportional hazards approaches.
The Statistical Analysis of Interval-censored Failure Time Data
Author: Jianguo SunPublisher: Springer
ISBN: 0387371192
Category : Mathematics
Languages : en
Pages : 310
Book Description
This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions.
Nonparametric and Semiparametric Censored Survival Analysis of Correlated Times to Event and Their Sequelae
Author: Adin-Cristian AndreiPublisher:
ISBN:
Category :
Languages : en
Pages : 194
Book Description
Robust Nonparametric Regression Approach for Competing Cause Censored Survival Mortality Data with Covariates
Author: Milind A. PhadnisInterval-Censored Time-to-Event Data
Author: Ding-Geng (Din) ChenPublisher: CRC Press
ISBN: 1466504250
Category : Mathematics
Languages : en
Pages : 435
Book Description
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.
Nonparametric Regression with Censored Data
Author: Hu-Chen FeiNonparametric Regression for Censored and Truncated Data
Author: Chul-Ki KimNonparametric and Semiparametric Methods for Interval-censored Failure Time Data
Author: Chao ZhuPublisher:
ISBN:
Category :
Languages : en
Pages : 91
Book Description
Interval-censored failure time data commonly arise in follow-up studies such as clinical trials and epidemiology studies. For their analysis, what interests researcher most includes comparisons of survival functions for different groups and regression analysis. This dissertation, which consists of three parts, consider these problems on two types of interval-censored data by using nonparametric and semiparametric methods.