Nonparametric Hazard Function Estimation from Doubly-censored Data with Application to AIDS PDF Download

Author: Robert Elliot Fusaro
Publisher:
ISBN:
Category :
Languages : en
Pages : 230

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Author: Martin Abba Tanner
Publisher:
ISBN:
Category : Nonparametric statistics
Languages : en
Pages : 194

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Book Description

Author: Jianguo Sun
Publisher: Springer
ISBN: 0387371192
Category : Mathematics
Languages : en
Pages : 310

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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.

Author: Yuri Beljaev
Publisher:
ISBN:
Category :
Languages : en
Pages : 78

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Book Description

Author: Vilijandas Bagdonavicius
Publisher: John Wiley & Sons
ISBN: 1118602137
Category : Mathematics
Languages : en
Pages : 162

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Book Description
This book concerns testing hypotheses in non-parametric models. Generalizations of many non-parametric tests to the case of censored and truncated data are considered. Most of the test results are proved and real applications are illustrated using examples. Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed.

Author: Ding-Geng (Din) Chen
Publisher: CRC Press
ISBN: 1466504285
Category : Mathematics
Languages : en
Pages : 426

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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.Divid

Author: Lawrence Victor Rubinstein
Publisher:
ISBN:
Category : Characteristic functions
Languages : en
Pages : 146

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Book Description

Author: Stanford University. Department of Statistics
Publisher:
ISBN:
Category :
Languages : en
Pages : 31

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Author: Guolin Zhao
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 57

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Book Description
"Estimating survival functions has interested statisticians for numerous years. A survival function gives information on the probability of a time-to-event of interest. Research in the area of survival analysis has increased greatly over the last several decades because of its large usage in areas related to biostatistics and the pharmaceutical industry. Among the methods which estimate the survival function, several are widely used and available in popular statistical software programs. One purpose of this research is to compare the efficiency between competing estimators of the survival function. Results are given for simulations which use nonparametric and parametric estimation methods on censored data. The simulated data sets have right-, left-, or interval-censored time points. Comparisons are done on various types of data to see which survival function estimation methods are more suitable. We consider scenarios where distributional assumptions or censoring type assumptions are violated. Another goal of this research is to examine the effects of these incorrect assumptions."--Abstract from author supplied metadata.

Author: John P. Klein
Publisher: Springer Science & Business Media
ISBN: 1475727283
Category : Medical
Languages : en
Pages : 508

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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.