Author: Michael P. JonesPublisher:
ISBN:
Category : Biometry
Languages : en
Pages : 444
Book Description
A General Class of Nonparametric Trend Tests for Survival Analysis
Author: Michael P. JonesPublisher:
ISBN:
Category : Biometry
Languages : en
Pages : 444
Book Description
A General Class of Function-indexed Nonparametric Tests for Survival Analysis
Author: Chin-Yu LinA Comparison of Three Non-parametric Tests in Survival Analysis
Author: Ronald Carmen DeggesPublisher:
ISBN:
Category : Nonparametric statistics
Languages : en
Pages : 140
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.
Survival Analysis
Author: John P. KleinPublisher: Springer Science & Business Media
ISBN: 1475727283
Category : Medical
Languages : en
Pages : 508
Book Description
Making complex methods more accessible to applied researchers without an advanced mathematical background, the authors present the essence of new techniques available, as well as classical techniques, and apply them to data. Practical suggestions for implementing the various methods are set off in a series of practical notes at the end of each section, while technical details of the derivation of the techniques are sketched in the technical notes. This book will thus be useful for investigators who need to analyse censored or truncated life time data, and as a textbook for a graduate course in survival analysis, the only prerequisite being a standard course in statistical methodology.
Nonparametric Trend Analysis
Author: George Andrew FergusonPublisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 82
Book Description
Recent Advances and Trends in Nonparametric Statistics
Author: M.G. AkritasPublisher: Elsevier
ISBN: 0444513787
Category : Computers
Languages : en
Pages : 524
Book Description
The advent of high-speed, affordable computers in the last two decades has given a new boost to the nonparametric way of thinking. Classical nonparametric procedures, such as function smoothing, suddenly lost their abstract flavour as they became practically implementable. In addition, many previously unthinkable possibilities became mainstream; prime examples include the bootstrap and resampling methods, wavelets and nonlinear smoothers, graphical methods, data mining, bioinformatics, as well as the more recent algorithmic approaches such as bagging and boosting. This volume is a collection of short articles - most of which having a review component - describing the state-of-the art of Nonparametric Statistics at the beginning of a new millennium. Key features: . algorithic approaches . wavelets and nonlinear smoothers . graphical methods and data mining . biostatistics and bioinformatics . bagging and boosting . support vector machines . resampling methods
Journal of the National Cancer Institute
Author: A General Class of One-sample Nonparametric Test
Author: William Robert StephensonPublisher:
ISBN:
Category : Nonparametric statistics
Languages : en
Pages : 200
Book Description
The Frailty Model
Author: Luc DuchateauPublisher: Springer Science & Business Media
ISBN: 038772835X
Category : Mathematics
Languages : en
Pages : 329
Book Description
Readers will find in the pages of this book a treatment of the statistical analysis of clustered survival data. Such data are encountered in many scientific disciplines including human and veterinary medicine, biology, epidemiology, public health and demography. A typical example is the time to death in cancer patients, with patients clustered in hospitals. Frailty models provide a powerful tool to analyze clustered survival data. In this book different methods based on the frailty model are described and it is demonstrated how they can be used to analyze clustered survival data. All programs used for these examples are available on the Springer website.