A nonparametric test for comparing two samples where all observations are either left- or right-censored

P. K. Andersen; B. B. Ronn

doi:10.2307/2533338

A nonparametric test for comparing two samples where all observations are either left- or right-censored

P. K. Andersen^*, B. B. Ronn

^*Corresponding author for this work

Research output: Contribution to journal › Journal article › Research › peer-review

32 Citations (Scopus)

Abstract

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.

Original language	English
Journal	Biometrics
Volume	51
Issue number	1
Pages (from-to)	323-329
Number of pages	7
ISSN	0006-341X
DOIs	https://doi.org/10.2307/2533338
Publication status	Published - 1995

Keywords

Interval censoring
Left-censoring
Nonparametric tests

Access to Document

10.2307/2533338

Cite this

@article{ec85ec80281f455d8c27fc7c063457d8,

title = "A nonparametric test for comparing two samples where all observations are either left- or right-censored",

abstract = "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.",

keywords = "Interval censoring, Left-censoring, Nonparametric tests",

author = "Andersen, {P. K.} and Ronn, {B. B.}",

year = "1995",

doi = "10.2307/2533338",

language = "English",

volume = "51",

pages = "323--329",

journal = "Biometrics",

issn = "0006-341X",

publisher = "Wiley-Blackwell",

number = "1",

}

TY - JOUR

T1 - A nonparametric test for comparing two samples where all observations are either left- or right-censored

AU - Andersen, P. K.

AU - Ronn, B. B.

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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.

KW - Interval censoring

KW - Left-censoring

KW - Nonparametric tests

UR - http://www.scopus.com/inward/record.url?scp=0029000446&partnerID=8YFLogxK

U2 - 10.2307/2533338

DO - 10.2307/2533338

M3 - Journal article

C2 - 7766787

AN - SCOPUS:0029000446

VL - 51

SP - 323

EP - 329

JO - Biometrics

JF - Biometrics

SN - 0006-341X

IS - 1

ER -

A nonparametric test for comparing two samples where all observations are either left- or right-censored

Abstract

Keywords

Access to Document

Other files and links

Cite this