A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effects of vaccines on child hospitalisations

Research output: Contribution to journalJournal articlepeer-review

Standard

A marginal structural model for recurrent events in the presence of time-dependent confounding : non-specific effects of vaccines on child hospitalisations. / Jensen, Aksel K. G.; Ravn, Henrik; Sørup, Signe; Andersen, Per.

In: Statistics in Medicine, Vol. 35, No. 27, 30.11.2016, p. 5051-5069.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Jensen, AKG, Ravn, H, Sørup, S & Andersen, P 2016, 'A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effects of vaccines on child hospitalisations', Statistics in Medicine, vol. 35, no. 27, pp. 5051-5069. https://doi.org/10.1002/sim.7060

APA

Jensen, A. K. G., Ravn, H., Sørup, S., & Andersen, P. (2016). A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effects of vaccines on child hospitalisations. Statistics in Medicine, 35(27), 5051-5069. https://doi.org/10.1002/sim.7060

Vancouver

Jensen AKG, Ravn H, Sørup S, Andersen P. A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effects of vaccines on child hospitalisations. Statistics in Medicine. 2016 Nov 30;35(27):5051-5069. https://doi.org/10.1002/sim.7060

Author

Jensen, Aksel K. G. ; Ravn, Henrik ; Sørup, Signe ; Andersen, Per. / A marginal structural model for recurrent events in the presence of time-dependent confounding : non-specific effects of vaccines on child hospitalisations. In: Statistics in Medicine. 2016 ; Vol. 35, No. 27. pp. 5051-5069.

Bibtex

@article{572e3a7727ba46bf95b2a005fa7954b7,
title = "A marginal structural model for recurrent events in the presence of time-dependent confounding: non-specific effects of vaccines on child hospitalisations",
abstract = "Using a Danish register-based study on childhood vaccination and hospitalisation as motivation, a marginal structural model for recurrent events is studied. The model addresses a number of challenges which may be seen more generally in large register-based cohort studies. One is to adjust for a time-dependent confounder when studying the effect of a time-varying exposure on a recurrent event based on an analysis in continuous time. Another is to report results via a measure which is easy to interpret and communicate even though quite elaborate treatment regimes are considered. Lastly, the implementation of continuously updated weights implies a substantial computationally demanding workload.",
author = "Jensen, {Aksel K. G.} and Henrik Ravn and Signe S{\o}rup and Per Andersen",
year = "2016",
month = nov,
day = "30",
doi = "10.1002/sim.7060",
language = "English",
volume = "35",
pages = "5051--5069",
journal = "Statistics in Medicine",
issn = "0277-6715",
publisher = "JohnWiley & Sons Ltd",
number = "27",

}

RIS

TY - JOUR

T1 - A marginal structural model for recurrent events in the presence of time-dependent confounding

T2 - non-specific effects of vaccines on child hospitalisations

AU - Jensen, Aksel K. G.

AU - Ravn, Henrik

AU - Sørup, Signe

AU - Andersen, Per

PY - 2016/11/30

Y1 - 2016/11/30

N2 - Using a Danish register-based study on childhood vaccination and hospitalisation as motivation, a marginal structural model for recurrent events is studied. The model addresses a number of challenges which may be seen more generally in large register-based cohort studies. One is to adjust for a time-dependent confounder when studying the effect of a time-varying exposure on a recurrent event based on an analysis in continuous time. Another is to report results via a measure which is easy to interpret and communicate even though quite elaborate treatment regimes are considered. Lastly, the implementation of continuously updated weights implies a substantial computationally demanding workload.

AB - Using a Danish register-based study on childhood vaccination and hospitalisation as motivation, a marginal structural model for recurrent events is studied. The model addresses a number of challenges which may be seen more generally in large register-based cohort studies. One is to adjust for a time-dependent confounder when studying the effect of a time-varying exposure on a recurrent event based on an analysis in continuous time. Another is to report results via a measure which is easy to interpret and communicate even though quite elaborate treatment regimes are considered. Lastly, the implementation of continuously updated weights implies a substantial computationally demanding workload.

U2 - 10.1002/sim.7060

DO - 10.1002/sim.7060

M3 - Journal article

C2 - 27582304

VL - 35

SP - 5051

EP - 5069

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 0277-6715

IS - 27

ER -

ID: 173742060