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Please read and accept the terms and conditions and check the box to generate a sharing link. Interval censoring is encountered in many practical situations when the event of interest cannot be observed and it is only known to have occurred within a time window. The theory for the analysis of interval-censored data has been developed over the past three decades and several reviews have been written. However, it is still a common practice in medical and reliability studies to simplify the interval censoring structure of the data into a more standard right censoring situation by, for instance, imputing the midpoint of the censoring interval.

The availability of software for right censoring might well be the main reason for this simplifying practice. In contrast, several methods have been developed to deal with interval-censored data and the corresponding algorithms to make the procedures feasible are scattered across the statistical software or remain behind the personal computers of many researchers. The purpose of this tutorial is to present, in a pedagogical and unified manner, the methodology and the available software for analyzing interval-censored data. The paper covers frequentist non-parametric, parametric and semiparametric estimating approaches, non-parametric tests for comparing survival curves and a section on simulation of interval-censored data.

Nonparametric Tests for Censored Data : Vilijandas Bagdonavicius :

The methods and the software are described using the data from a dental study. Research off-campus without worrying about access issues. Find out about Lean Library here. Skip to main content.

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Nonparametric Tests for Censored Data

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M Luz Calle. Ramon Oller. Klaus Langohr Klaus Langohr. Article information. Article Information Volume: 9 issue: 4, page s : Article first published online: December 17, ; Issue published: December 1, E-mail: lupe. Abstract Abstract. Keywords interval censoring , simulation , software R , survival analysis. Sign Out. Email required Password required Remember me Forgotten your password? Need to activate? Institutional Access does not have access to this content. Open Athens. Purchase Content 24 hours online access to download content. Subscribe to this journal. Recommend to your library.

Rent with DeepDyve. Rent Article. Your Access Options. Forgotten your password? Article available in:. Vol 9, Issue 4, Guest Editorial. A practical guide to understanding Kaplan-Meier curves. Jason T. Rich and more Otolaryngology—Head and Neck Surgery. Social Science Computer Review. Shuwei Li and more Defective regression models for cure rate modeling with interval-censo Crossref Vinicius F.

Calsavara and more Biometrical Journal Jul Statistical issues and methods in designing and analyzing survival stu Crossref Muditha Perera and more Cookies Notification This site uses cookies. By continuing to browse the site you are agreeing to our use of cookies. Find out more. Tips on citation download. A practical guide. Google Scholar. Statistics in Medicine, 21, — Google Scholar Crossref Medline. Bogaerts K and Lesaffre E A new, fast algorithm to find the regions of possible support for bivariate interval-censored data.

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  5. Survival analysis techniques for medical research, 2nd edition. R package version 1. Courgeau D and Najim J Interval-censored event history analysis. Nikulin is a member of the Institute of Mathematics in Bordeaux, France. If you do not receive an email within 10 minutes, your email address may not be registered, and you may need to create a new Wiley Online Library account.

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    If the address matches an existing account you will receive an email with instructions to retrieve your username. Skip to Main Content. First published: 10 January About this book 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.

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    Nonparametric Tests for Censored Data - eBook

    Theories and exercises are provided. The incorrect use of many tests applying most statistical software is highlighted and discussed. Free Access. Summary PDF Request permissions.

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