Bivariate pseudo-observations for recurrent event analysis with terminal events

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Standard

Bivariate pseudo-observations for recurrent event analysis with terminal events. / Furberg, Julie K.; Andersen, Per K.; Korn, Sofie; Overgaard, Morten; Ravn, Henrik.

I: Lifetime Data Analysis, Bind 29, 2023, s. 256-287.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Furberg, JK, Andersen, PK, Korn, S, Overgaard, M & Ravn, H 2023, 'Bivariate pseudo-observations for recurrent event analysis with terminal events', Lifetime Data Analysis, bind 29, s. 256-287. https://doi.org/10.1007/s10985-021-09533-5

APA

Furberg, J. K., Andersen, P. K., Korn, S., Overgaard, M., & Ravn, H. (2023). Bivariate pseudo-observations for recurrent event analysis with terminal events. Lifetime Data Analysis, 29, 256-287. https://doi.org/10.1007/s10985-021-09533-5

Vancouver

Furberg JK, Andersen PK, Korn S, Overgaard M, Ravn H. Bivariate pseudo-observations for recurrent event analysis with terminal events. Lifetime Data Analysis. 2023;29:256-287. https://doi.org/10.1007/s10985-021-09533-5

Author

Furberg, Julie K. ; Andersen, Per K. ; Korn, Sofie ; Overgaard, Morten ; Ravn, Henrik. / Bivariate pseudo-observations for recurrent event analysis with terminal events. I: Lifetime Data Analysis. 2023 ; Bind 29. s. 256-287.

Bibtex

@article{edec16bcdcf94ad0af8f24d87c946e2a,

title = "Bivariate pseudo-observations for recurrent event analysis with terminal events",

abstract = "The analysis of recurrent events in the presence of terminal events requires special attention. Several approaches have been suggested for such analyses either using intensity models or marginal models. When analysing treatment effects on recurrent events in controlled trials, special attention should be paid to competing deaths and their impact on interpretation. This paper proposes a method that formulates a marginal model for recurrent events and terminal events simultaneously. Estimation is based on pseudo-observations for both the expected number of events and survival probabilities. Various relevant hypothesis tests in the framework are explored. Theoretical derivations and simulation studies are conducted to investigate the behaviour of the method. The method is applied to two real data examples. The bivariate marginal pseudo-observation model carries the strength of a two-dimensional modelling procedure and performs well in comparison with available models. Finally, an extension to a three-dimensional model, which decomposes the terminal event per death cause, is proposed and exemplified.",

keywords = "Multi-state model, Pseudo-observations, Recurrent events, Simultaneous model, Terminal events",

author = "Furberg, {Julie K.} and Andersen, {Per K.} and Sofie Korn and Morten Overgaard and Henrik Ravn",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.",

year = "2023",

doi = "10.1007/s10985-021-09533-5",

language = "English",

volume = "29",

pages = "256--287",

journal = "Lifetime Data Analysis",

issn = "1380-7870",

publisher = "Springer",

}

RIS

TY - JOUR

T1 - Bivariate pseudo-observations for recurrent event analysis with terminal events

AU - Furberg, Julie K.

AU - Andersen, Per K.

AU - Korn, Sofie

AU - Overgaard, Morten

AU - Ravn, Henrik

PY - 2023

Y1 - 2023

N2 - The analysis of recurrent events in the presence of terminal events requires special attention. Several approaches have been suggested for such analyses either using intensity models or marginal models. When analysing treatment effects on recurrent events in controlled trials, special attention should be paid to competing deaths and their impact on interpretation. This paper proposes a method that formulates a marginal model for recurrent events and terminal events simultaneously. Estimation is based on pseudo-observations for both the expected number of events and survival probabilities. Various relevant hypothesis tests in the framework are explored. Theoretical derivations and simulation studies are conducted to investigate the behaviour of the method. The method is applied to two real data examples. The bivariate marginal pseudo-observation model carries the strength of a two-dimensional modelling procedure and performs well in comparison with available models. Finally, an extension to a three-dimensional model, which decomposes the terminal event per death cause, is proposed and exemplified.

AB - The analysis of recurrent events in the presence of terminal events requires special attention. Several approaches have been suggested for such analyses either using intensity models or marginal models. When analysing treatment effects on recurrent events in controlled trials, special attention should be paid to competing deaths and their impact on interpretation. This paper proposes a method that formulates a marginal model for recurrent events and terminal events simultaneously. Estimation is based on pseudo-observations for both the expected number of events and survival probabilities. Various relevant hypothesis tests in the framework are explored. Theoretical derivations and simulation studies are conducted to investigate the behaviour of the method. The method is applied to two real data examples. The bivariate marginal pseudo-observation model carries the strength of a two-dimensional modelling procedure and performs well in comparison with available models. Finally, an extension to a three-dimensional model, which decomposes the terminal event per death cause, is proposed and exemplified.

KW - Multi-state model

KW - Pseudo-observations

KW - Recurrent events

KW - Simultaneous model

KW - Terminal events

U2 - 10.1007/s10985-021-09533-5

DO - 10.1007/s10985-021-09533-5

M3 - Journal article

C2 - 34739680

AN - SCOPUS:85118594060

VL - 29

SP - 256

EP - 287

JO - Lifetime Data Analysis

JF - Lifetime Data Analysis

SN - 1380-7870

ER -

ID: 284488616