Pseudo-observations in a multistate setting

Morten Overgaard (), Per Kragh Andersen () and Erik Thorlund Parner ()
Additional contact information
Morten Overgaard: Aarhus University
Per Kragh Andersen: University of Copenhagen
Erik Thorlund Parner: Aarhus University

Stata Journal, 2023, vol. 23, issue 2, 491-517

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 pseudoobservations based on some estimator of the expected value of the outcome. In this article, we present a new command, stpmstate, that calculates such pseudoobservations 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: stpmstate; multistate model; regression analysis; state occupation probability; length of stay; jackknife; pseudovalues; Aalen–Johansen estimator (search for similar items in EconPapers)
Date: 2023
Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj23-2/st0717/
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0717 link to article purchase

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:23:y:2023:i:2:p:491-517

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

DOI: 10.1177/1536867X231175332

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().