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

Aksel K. G. Jensen; Henrik Ravn; Signe Sørup; Per Andersen

doi:10.1002/sim.7060

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

Aksel K. G. Jensen, Henrik Ravn, Signe Sørup, Per Andersen

Biostatistisk afdeling

2 Citationer (Scopus)

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.

Originalsprog	Engelsk
Tidsskrift	Statistics in Medicine
Vol/bind	35
Udgave nummer	27
Sider (fra-til)	5051-5069
Antal sider	19
ISSN	0277-6715
DOI	https://doi.org/10.1002/sim.7060
Status	Udgivet - 30 nov. 2016

FN’s Verdensmål

Dette resultat bidrager til følgende verdensmål

Adgang til dokumentet

10.1002/sim.7060

Citationsformater

@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",

}

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

SN - 0277-6715

VL - 35

SP - 5051

EP - 5069

JO - Statistics in Medicine

JF - Statistics in Medicine

IS - 27

ER -

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

Abstract

FN’s Verdensmål

Adgang til dokumentet

Fingeraftryk

Citationsformater