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Estimation of the causal effects of time-varying treatments in nested case-control studies using mar...

Estimation of the causal effects of time-varying treatments in nested case-control studies using mar...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2955265136

Estimation of the causal effects of time-varying treatments in nested case-control studies using marginal structural Cox models

About this item

Full title

Estimation of the causal effects of time-varying treatments in nested case-control studies using marginal structural Cox models

Publisher

England

Journal title

Biometrics, 2024-01, Vol.80 (1)

Language

English

Formats

Publication information

Publisher

England

More information

Scope and Contents

Contents

When estimating the causal effects of time-varying treatments on survival in nested case-control (NCC) studies, marginal structural Cox models (Cox-MSMs) with inverse probability weights (IPWs) are a natural approach. However, calculating IPWs from the cases and controls is difficult because they are not random samples from the full cohort, and the...

Alternative Titles

Full title

Estimation of the causal effects of time-varying treatments in nested case-control studies using marginal structural Cox models

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2955265136

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2955265136

Other Identifiers

ISSN

0006-341X

E-ISSN

1541-0420

DOI

10.1093/biomtc/ujae005

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