Nonparametric Estimation And Regression Analysis With Left Truncated And Right Censored Data

Download Nonparametric Estimation And Regression Analysis With Left Truncated And Right Censored Data PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Nonparametric Estimation And Regression Analysis With Left Truncated And Right Censored Data book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Nonparametric Estimation and Regression Analysis with Left Truncated and Right Censored Data

Author: Stanford University. Dept. of Statistics
language: en
Publisher:
Release Date: 1994
Survival Analysis

Author: John P. Klein
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-06-29
Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. The analysis of survival experiments is complicated by issues of censoring, where an individual's life length is known to occur only in a certain period of time, and by truncation, where individuals enter the study only if they survive a sufficient length of time or individuals are included in the study only if the event has occurred by a given date. The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. This book makes these complex methods more accessible to applied researchers without an advanced mathematical background. The authors present the essence of these techniques, as well as classical techniques not based on counting processes, 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. Technical details of the derivation of the techniques are sketched in a series of Technical Notes. This book will be useful for investigators who need to analyze censored or truncated life time data, and as a textbook for a graduate course in survival analysis. The prerequisite is a standard course in statistical methodology. "This book...offers an excellent course in survival analysis for
Nonparametric Curve Estimation

Author: Sam Efromovich
language: en
Publisher: Springer Science & Business Media
Release Date: 1999-08-05
This book gives a systematic, comprehensive, and unified account of modern nonparametric statistics of density estimation, nonparametric regression, filtering signals, and time series analysis. The companion software package, available over the Internet, brings all of the discussed topics into the realm of interactive research. Virtually every claim and development mentioned in the book is illustrated with graphs which are available for the reader to reproduce and modify, making the material fully transparent and allowing for complete interactivity.