Adaptive Neyman's smooth tests of homogeneity of two samples of
survival data

J 2009

Adaptive Neyman's smooth tests of homogeneity of two samples of survival data

KRAUS, David

Základní údaje

Originální název

Adaptive Neyman's smooth tests of homogeneity of two samples of survival data

Autoři

KRAUS, David

Vydání

Journal of Statistical Planning and Inference, Amsterdam, Elsevier Science BV, 2009, 0378-3758

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 0.725

Označené pro přenos do RIV

DOI

https://doi.org/10.1016/j.jspi.2009.04.009

UT WoS

000268703700016

Klíčová slova anglicky

Censoring; Neyman's smooth test; Schwarz's selection rule; Survival analysis; Two sample test

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 12. 1. 2016 16:35, doc. Mgr. David Kraus, Ph.D.

Anotace

V originále

The problem of testing whether two samples of possibly right-censored survival data come from the same distribution is considered. The aim is to develop a test which is capable of detection of a wide spectrum of alternatives. A new class of tests based on Neyman's embedding idea is proposed. The null hypothesis is tested against a model where the hazard ratio of the two survival distributions is expressed by several smooth functions. A data-driven approach to the selection of these functions is studied. Asymptotic properties of the proposed procedures are investigated under fixed and local alternatives. Small-sample performance is explored via simulations which show that the power of the proposed tests appears to be more robust than the power of some versatile tests previously proposed in the literature (such as combinations of weighted logrank tests, or Kolmogorov-Smirnov tests). (C) 2009 Elsevier B.V. All rights reserved.

Citovat

KRAUS, David. Adaptive Neyman's smooth tests of homogeneity of two samples of survival data. Journal of Statistical Planning and Inference. Amsterdam: Elsevier Science BV, 2009, roč. 139, č. 10, s. 3559-3569. ISSN 0378-3758. Dostupné z: https://doi.org/10.1016/j.jspi.2009.04.009.

@article{1324005,
   author = {Kraus, David},
   article_location = {Amsterdam},
   article_number = {10},
   doi = {https://doi.org/10.1016/j.jspi.2009.04.009},
   keywords = {Censoring; Neyman's smooth test; Schwarz's selection rule; Survival analysis; Two sample test},
   language = {eng},
   issn = {0378-3758},
   journal = {Journal of Statistical Planning and Inference},
   title = {Adaptive Neyman's smooth tests of homogeneity of two samples of survival data},
   volume = {139},
   year = {2009}
}

TY  - JOUR
ID  - 1324005
AU  - Kraus, David
PY  - 2009
TI  - Adaptive Neyman's smooth tests of homogeneity of two samples of survival data
JF  - Journal of Statistical Planning and Inference
VL  - 139
IS  - 10
SP  - 3559-3569
EP  - 3559-3569
PB  - Elsevier Science BV
SN  - 03783758
KW  - Censoring
KW  - Neyman's smooth test
KW  - Schwarz's selection rule
KW  - Survival analysis
KW  - Two sample test
N2  - The problem of testing whether two samples of possibly right-censored survival data come from the same distribution is considered. The aim is to develop a test which is capable of detection of a wide spectrum of alternatives. A new class of tests based on Neyman's embedding idea is proposed. The null hypothesis is tested against a model where the hazard ratio of the two survival distributions is expressed by several smooth functions. A data-driven approach to the selection of these functions is studied. Asymptotic properties of the proposed procedures are investigated under fixed and local alternatives. Small-sample performance is explored via simulations which show that the power of the proposed tests appears to be more robust than the power of some versatile tests previously proposed in the literature (such as combinations of weighted logrank tests, or Kolmogorov-Smirnov tests). (C) 2009 Elsevier B.V. All rights reserved.
ER  -

KRAUS, David. Adaptive Neyman's smooth tests of homogeneity of two samples of survival data. \textit{Journal of Statistical Planning and Inference}. Amsterdam: Elsevier Science BV, 2009, roč.~139, č.~10, s.~3559-3569. ISSN~0378-3758. Dostupné z: https://doi.org/10.1016/j.jspi.2009.04.009.

Přehled o publikaci