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A sequential Cox approach for estimating the causal effect of treatment in the presence of time-dependent confounding applied to data from the Swiss HIV Cohort Study.

Abstract:

When estimating the effect of treatment on HIV using data from observational studies, standard methods may produce biased estimates due to the presence of time-dependent confounders. Such confounding can be present when a covariate, affected by past exposure, is both a predictor of the future exposure and the outcome. One example is the CD4 cell count, being a marker for disease progression for HIV patients, but also a marker for treatment initiation and influenced by treatment. Fitting a mar...

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Publication status:
Published

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Publisher copy:
10.1002/sim.4048

Authors


Røysland, K More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Medicine, Tropical Medicine
Didelez, V More by this author
Sterne, JA More by this author
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Journal:
Statistics in medicine
Volume:
29
Issue:
26
Pages:
2757-2768
Publication date:
2010-11-05
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
URN:
uuid:ad4578bd-2555-450d-b9f0-c9c2c0cc36af
Source identifiers:
113075
Local pid:
pubs:113075

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