A Nonparametric Test for Comparing Two Samples Where All Observations are Either Left- or Right-Censored

A Nonparametric Test for Comparing Two Samples Where All Observations are Either Left- or Right-Censored

The situation is considered where the status of the individuals under study is assessed only once during their lifetime, and as a consequence the observed time to an event of interest is either left-or right-censored. Nonparametric estimation of the time to event distribution is reviewed and a nonpa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Biometrics 1995-03, Vol.51 (1), p.323-329
Hauptverfasser: Andersen, Per Kragh, Ronn, Birgitte B.
Format: Artikel
Sprache:eng
Schlagworte:
Analysis of Variance
Asylum seekers
Bias
Biometry - methods
Denmark
Distribution functions
Headache
Headache - epidemiology
Humans
Mathematics
Mental Disorders - epidemiology
Models, Statistical
Nonparametric models
Nonparametric tests
Parametric models
Probability
Prospective Studies
Ratio test
Refugees
Sampling distributions
Shorter Communications
Statistical discrepancies
Time Factors
Torture
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The situation is considered where the status of the individuals under study is assessed only once during their lifetime, and as a consequence the observed time to an event of interest is either left-or right-censored. Nonparametric estimation of the time to event distribution is reviewed and a nonparametric two-sample test is proposed. The performance of the test is illustrated by simulations and by a numerical example.
ISSN:0006-341X
1541-0420
DOI:10.2307/2533338