-
Je něco špatně v tomto záznamu ?
Data-driven smooth tests of the proportional hazards assumption
D Kraus
Jazyk angličtina Země Spojené státy americké
NLK
ProQuest Central
od 1999-03-01 do Před 1 rokem
Medline Complete (EBSCOhost)
od 2005-03-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 1999-03-01 do Před 1 rokem
Health Management Database (ProQuest)
od 1999-03-01 do Před 1 rokem
Public Health Database (ProQuest)
od 1999-03-01 do Před 1 rokem
- MeSH
- biometrie metody MeSH
- financování organizované MeSH
- interpretace statistických dat MeSH
- lidé MeSH
- počítačová simulace MeSH
- proporcionální rizikové modely MeSH
- statistické modely MeSH
- Check Tag
- lidé MeSH
A new test of the proportional hazards assumption in the Cox model is proposed. The idea is based on Neyman's smooth tests. The Cox model with proportional hazards (i.e. time-constant covariate effects) is embedded in a model with a smoothly time-varying covariate effect that is expressed as a combination of some basis functions (e.g., Legendre polynomials, cosines). Then the smooth test is the score test for significance of these artificial covariates. Furthermore, we apply a modification of Schwarz's selection rule to choosing the dimension of the smooth model (the number of the basis functions). The score test is then used in the selected model. In a simulation study, we compare the proposed tests with standard tests based on the score process.
- 000
- 01832naa 2200277 a 4500
- 001
- bmc10012819
- 003
- CZ-PrNML
- 005
- 20160519115154.0
- 008
- 100527s2007 xxu e eng||
- 009
- AR
- 040 __
- $a ABA008 $b cze $c ABA008 $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxu
- 100 1_
- $a Kraus, David, $d 1979- $7 xx0122148
- 245 10
- $a Data-driven smooth tests of the proportional hazards assumption / $c D Kraus
- 314 __
- $a Institute of Information Theory and Automation, Pod Vodarenskou vezi 4, CZ-182 08 Prague 8, Czech Republic. kraus@karlin.mff.cuni.cz
- 520 9_
- $a A new test of the proportional hazards assumption in the Cox model is proposed. The idea is based on Neyman's smooth tests. The Cox model with proportional hazards (i.e. time-constant covariate effects) is embedded in a model with a smoothly time-varying covariate effect that is expressed as a combination of some basis functions (e.g., Legendre polynomials, cosines). Then the smooth test is the score test for significance of these artificial covariates. Furthermore, we apply a modification of Schwarz's selection rule to choosing the dimension of the smooth model (the number of the basis functions). The score test is then used in the selected model. In a simulation study, we compare the proposed tests with standard tests based on the score process.
- 650 _2
- $a biometrie $x metody $7 D001699
- 650 _2
- $a počítačová simulace $7 D003198
- 650 _2
- $a interpretace statistických dat $7 D003627
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a statistické modely $7 D015233
- 650 _2
- $a proporcionální rizikové modely $7 D016016
- 650 _2
- $a financování organizované $7 D005381
- 773 0_
- $t Lifetime Data Analysis $w MED00007766 $g Roč. 13, č. 1 Mar (2007), s. 1-16 $x 1380-7870
- 910 __
- $a ABA008 $b x $y 8 $z 0
- 990 __
- $a 20100602090911 $b ABA008
- 991 __
- $a 20160519115306 $b ABA008
- 999 __
- $a ok $b bmc $g 726674 $s 589831
- BAS __
- $a 3
- BMC __
- $a 2007 $b 13 $c 1 Mar $d 1-16 $i 1380-7870 $m Lifetime data analysis $n Lifetime Data Anal $x MED00007766
- LZP __
- $a 2010-B2/vtme
