Pseudo-observations in a multistate setting

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Standard

Pseudo-observations in a multistate setting. / Overgaard, Morten; Andersen, Per Kragh; Parner, Erik Thorlund.

I: Stata Journal, Bind 23, Nr. 2, 2023, s. 491-517.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Overgaard, M, Andersen, PK & Parner, ET 2023, 'Pseudo-observations in a multistate setting', Stata Journal, bind 23, nr. 2, s. 491-517. https://doi.org/10.1177/1536867X231175332

APA

Overgaard, M., Andersen, P. K., & Parner, E. T. (2023). Pseudo-observations in a multistate setting. Stata Journal, 23(2), 491-517. https://doi.org/10.1177/1536867X231175332

Vancouver

Overgaard M, Andersen PK, Parner ET. Pseudo-observations in a multistate setting. Stata Journal. 2023;23(2):491-517. https://doi.org/10.1177/1536867X231175332

Author

Overgaard, Morten ; Andersen, Per Kragh ; Parner, Erik Thorlund. / Pseudo-observations in a multistate setting. I: Stata Journal. 2023 ; Bind 23, Nr. 2. s. 491-517.

Bibtex

@article{15855bdbe6c54bccbf639cbd0d66bff2,
title = "Pseudo-observations in a multistate setting",
abstract = "Regression analyses of how state occupation probabilities or expected lengths of stay depend on covariates in multistate settings can be performed using the pseudo-observation method, which involves calculating jackknife pseudo-observations based on some estimator of the expected value of the outcome. In this article, we present a new command, stpmstate, that calculates such pseudo-observations based on the Aalen–Johansen estimator. We give examples of use of the command, and we conduct a small simulation study to offer insights into the pseudo-observation regression approach.",
keywords = "Aalen–Johansen estimator, jackknife, length of stay, multistate model, pseudovalues, regression analysis, st0717, state occupation probability, stpmstate",
author = "Morten Overgaard and Andersen, {Per Kragh} and Parner, {Erik Thorlund}",
note = "Publisher Copyright: {\textcopyright} StataCorp LLC 2023.",
year = "2023",
doi = "10.1177/1536867X231175332",
language = "English",
volume = "23",
pages = "491--517",
journal = "Stata Journal",
issn = "1536-867X",
publisher = "Stata Press",
number = "2",

}

RIS

TY - JOUR

T1 - Pseudo-observations in a multistate setting

AU - Overgaard, Morten

AU - Andersen, Per Kragh

AU - Parner, Erik Thorlund

N1 - Publisher Copyright: © StataCorp LLC 2023.

PY - 2023

Y1 - 2023

N2 - Regression analyses of how state occupation probabilities or expected lengths of stay depend on covariates in multistate settings can be performed using the pseudo-observation method, which involves calculating jackknife pseudo-observations based on some estimator of the expected value of the outcome. In this article, we present a new command, stpmstate, that calculates such pseudo-observations based on the Aalen–Johansen estimator. We give examples of use of the command, and we conduct a small simulation study to offer insights into the pseudo-observation regression approach.

AB - Regression analyses of how state occupation probabilities or expected lengths of stay depend on covariates in multistate settings can be performed using the pseudo-observation method, which involves calculating jackknife pseudo-observations based on some estimator of the expected value of the outcome. In this article, we present a new command, stpmstate, that calculates such pseudo-observations based on the Aalen–Johansen estimator. We give examples of use of the command, and we conduct a small simulation study to offer insights into the pseudo-observation regression approach.

KW - Aalen–Johansen estimator

KW - jackknife

KW - length of stay

KW - multistate model

KW - pseudovalues

KW - regression analysis

KW - st0717

KW - state occupation probability

KW - stpmstate

U2 - 10.1177/1536867X231175332

DO - 10.1177/1536867X231175332

M3 - Journal article

AN - SCOPUS:85163642340

VL - 23

SP - 491

EP - 517

JO - Stata Journal

JF - Stata Journal

SN - 1536-867X

IS - 2

ER -

ID: 371031173