Pseudo-observations in a multistate setting
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Pseudo-observations in a multistate setting. / Overgaard, Morten; Andersen, Per Kragh; Parner, Erik Thorlund.
In: Stata Journal, Vol. 23, No. 2, 2023, p. 491-517.Research output: Contribution to journal › Journal article › Research › peer-review
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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