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Published in 2017 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.4193
Abstract: Drugs administered to hospitalized patients are not available within almost all health insurance databases. However, this unobservable exposure time bias is very rarely taken into account in pharmacoepidemiology. The objective was to model unobservable periods…
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Keywords:
time bias;
bias due;
due hospitalization;
immeasurable time ... See more keywords
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2
Published in 2023 at "American journal of epidemiology"
DOI: 10.1093/aje/kwad104
Abstract: The case-crossover study has been proposed as a suitable design when a brief exposure causes a transient change in risk of an acute-onset disease. In pharmacoepidemiology, the condition of "brief exposure" is rarely satisfied because…
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Keywords:
due within;
bias due;
case;
within subject ... See more keywords
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Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280214543508
Abstract: Propensity-score matching is frequently used to reduce the effects of confounding when using observational data to estimate the effects of treatments. Matching allows one to estimate the average effect of treatment in the treated. Rosenbaum…
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Keywords:
bias due;
due incomplete;
propensity score;
incomplete matching ... See more keywords
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1
Published in 2018 at "BMC Medical Research Methodology"
DOI: 10.1186/s12874-018-0500-3
Abstract: BackgroundIn many studies the information of patients who are dying in the hospital is censored when examining the change in length of hospital stay (cLOS) due to hospital-acquired infections (HIs). While appropriate estimators of cLOS…
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Keywords:
censoring deaths;
length;
bias due;
due censoring ... See more keywords
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Published in 2019 at "F1000Research"
DOI: 10.12688/f1000research.20726.2
Abstract: Background: Dietary guidelines should be informed by systematic reviews (SRs) of the available scientific evidence. However, if the SRs that underpin dietary guidelines are flawed in their design, conduct or reporting, the recommendations contained therein…
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Keywords:
meta analyses;
bias due;
risk bias;
study ... See more keywords
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Published in 2020 at "Community dental health"
DOI: 10.1922/cdh_specialissuemittinty06
Abstract: Confounding can make an association seem bigger when the true effect is smaller or vice-versa and it can also make it appear negative when it may actually be positive. In short, both the direction and…
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Keywords:
health;
estimating bias;
due unmeasured;
bias due ... See more keywords