Regression analysis of censored data using pseudo-observations

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Standard

Regression analysis of censored data using pseudo-observations. / Parner, Erik T.; Andersen, Per Kragh.

In: Stata Journal, Vol. 10, No. 3, 2010, p. 408-422.

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

Harvard

Parner, ET & Andersen, PK 2010, 'Regression analysis of censored data using pseudo-observations', Stata Journal, vol. 10, no. 3, pp. 408-422.

APA

Parner, E. T., & Andersen, P. K. (2010). Regression analysis of censored data using pseudo-observations. Stata Journal, 10(3), 408-422.

Vancouver

Parner ET, Andersen PK. Regression analysis of censored data using pseudo-observations. Stata Journal. 2010;10(3):408-422.

Author

Parner, Erik T. ; Andersen, Per Kragh. / Regression analysis of censored data using pseudo-observations. In: Stata Journal. 2010 ; Vol. 10, No. 3. pp. 408-422.

Bibtex

@article{fde3ff84b8d348f7acb49657f53d43e6,
title = "Regression analysis of censored data using pseudo-observations",
abstract = "We draw upon a series of articles in which a method based on pseu- dovalues is proposed for direct regression modeling of the survival function, the restricted mean, and the cumulative incidence function in competing risks with right-censored data. The models, once the pseudovalues have been computed, can be fit using standard generalized estimating equation software. Here we present Stata procedures for computing these pseudo-observations. An example from a bone marrow transplantation study is used to illustrate the method. ",
author = "Parner, {Erik T.} and Andersen, {Per Kragh}",
year = "2010",
language = "English",
volume = "10",
pages = "408--422",
journal = "Stata Journal",
issn = "1536-867X",
publisher = "Stata Press",
number = "3",

}

RIS

TY - JOUR

T1 - Regression analysis of censored data using pseudo-observations

AU - Parner, Erik T.

AU - Andersen, Per Kragh

PY - 2010

Y1 - 2010

N2 - We draw upon a series of articles in which a method based on pseu- dovalues is proposed for direct regression modeling of the survival function, the restricted mean, and the cumulative incidence function in competing risks with right-censored data. The models, once the pseudovalues have been computed, can be fit using standard generalized estimating equation software. Here we present Stata procedures for computing these pseudo-observations. An example from a bone marrow transplantation study is used to illustrate the method.

AB - We draw upon a series of articles in which a method based on pseu- dovalues is proposed for direct regression modeling of the survival function, the restricted mean, and the cumulative incidence function in competing risks with right-censored data. The models, once the pseudovalues have been computed, can be fit using standard generalized estimating equation software. Here we present Stata procedures for computing these pseudo-observations. An example from a bone marrow transplantation study is used to illustrate the method.

M3 - Journal article

VL - 10

SP - 408

EP - 422

JO - Stata Journal

JF - Stata Journal

SN - 1536-867X

IS - 3

ER -

ID: 33248804