Computing the Cox Model for Case Cohort Designs

Terry M. Therneau; Hongzhe Li

doi:10.1023/A:1009691327335

Computing the Cox Model for Case Cohort Designs

Terry M. Therneau, Hongzhe Li

Quantitative Health Sciences

Research output: Contribution to journal › Article › peer-review

104 Scopus citations

Abstract

Prentice (1986) proposed a case-cohort design as an efficient subsampling mechanism for survival studies. Several other authors have expanded on these ideas to create a family of related sampling plans, along with estimators for the covariate effects. We describe how to obtain the proposed parameter estimates and their variance estimates using standard software packages, with SAS and S-Plus as particular examples.

Original language	English (US)
Pages (from-to)	99-112
Number of pages	14
Journal	Lifetime Data Analysis
Volume	5
Issue number	2
DOIs	https://doi.org/10.1023/A:1009691327335
State	Published - 1999

Keywords

Case-cohort design
Cox model
Finite sampling
Jackknife estimate
Robust variance

ASJC Scopus subject areas

Applied Mathematics

Access to Document

10.1023/A:1009691327335

Cite this

@article{abdf54ffaf7f4a3aa20ec249dd741b1f,

title = "Computing the Cox Model for Case Cohort Designs",

abstract = "Prentice (1986) proposed a case-cohort design as an efficient subsampling mechanism for survival studies. Several other authors have expanded on these ideas to create a family of related sampling plans, along with estimators for the covariate effects. We describe how to obtain the proposed parameter estimates and their variance estimates using standard software packages, with SAS and S-Plus as particular examples.",

keywords = "Case-cohort design, Cox model, Finite sampling, Jackknife estimate, Robust variance",

author = "Therneau, {Terry M.} and Hongzhe Li",

note = "Funding Information: This research was partially supported by NIH grant DK34238-12.",

year = "1999",

doi = "10.1023/A:1009691327335",

language = "English (US)",

volume = "5",

pages = "99--112",

journal = "Lifetime Data Analysis",

issn = "1380-7870",

publisher = "Springer Netherlands",

number = "2",

}

TY - JOUR

T1 - Computing the Cox Model for Case Cohort Designs

AU - Therneau, Terry M.

AU - Li, Hongzhe

N1 - Funding Information: This research was partially supported by NIH grant DK34238-12.

PY - 1999

Y1 - 1999

N2 - Prentice (1986) proposed a case-cohort design as an efficient subsampling mechanism for survival studies. Several other authors have expanded on these ideas to create a family of related sampling plans, along with estimators for the covariate effects. We describe how to obtain the proposed parameter estimates and their variance estimates using standard software packages, with SAS and S-Plus as particular examples.

AB - Prentice (1986) proposed a case-cohort design as an efficient subsampling mechanism for survival studies. Several other authors have expanded on these ideas to create a family of related sampling plans, along with estimators for the covariate effects. We describe how to obtain the proposed parameter estimates and their variance estimates using standard software packages, with SAS and S-Plus as particular examples.

KW - Case-cohort design

KW - Cox model

KW - Finite sampling

KW - Jackknife estimate

KW - Robust variance

UR - http://www.scopus.com/inward/record.url?scp=0033146422&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033146422&partnerID=8YFLogxK

U2 - 10.1023/A:1009691327335

DO - 10.1023/A:1009691327335

M3 - Article

C2 - 10408179

AN - SCOPUS:0033146422

SN - 1380-7870

VL - 5

SP - 99

EP - 112

JO - Lifetime Data Analysis

JF - Lifetime Data Analysis

IS - 2

ER -

Computing the Cox Model for Case Cohort Designs

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this