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Published in 2020 at "Ecology and Evolution"
DOI: 10.1002/ece3.6063
Abstract: Abstract Geometric morphometric analyses are frequently employed to quantify biological shape and shape variation. Despite the popularity of this technique, quantification of measurement error in geometric morphometric datasets and its impact on statistical results is…
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Keywords:
landmark;
classification;
geometric morphometric;
error ... See more keywords
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Published in 2018 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22113
Abstract: The identification of gene–environment interactions in relation to risk of human diseases has been challenging. One difficulty has been that measurement error in the exposure can lead to massive reductions in the power of the…
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Keywords:
test;
error;
exposure;
interaction ... See more keywords
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Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7624
Abstract: Prediction of preterm birth as well as characterizing the etiological factors affecting both the recurrence and incidence of preterm birth (defined as gestational age at birth ≤ 37 wk) are important problems in obstetrics. The National Institute of…
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Keywords:
measurement error;
birth;
gestational age;
approach ... See more keywords
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Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7955
Abstract: Accurate assessment of gestational age at birth is necessary for optimal pediatric care. In high resource countries, several methods using ultrasound have been proposed to assess gestational age at birth; however, these methods are not…
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Keywords:
estimating gestational;
methodology;
age;
gestational age ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9324
Abstract: In nutritional epidemiology, measurement error in covariates is a well‐known problem since dietary intakes are usually assessed through self‐reporting. In this article, we consider an additive error model in which error variables are highly correlated,…
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Keywords:
regression;
approximate profile;
measurement error;
error ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9338
Abstract: A major challenge in studies relating built environment features to health is measurement error in exposure due to geocoding errors. Faulty geocodes in built environment data introduce errors to exposure assessments that may induce bias…
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Keywords:
simulation extrapolation;
built environment;
measurement error;
environment ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9531
Abstract: The Cox proportional hazards model is commonly used to estimate the association between time‐to‐event and covariates. Under the proportional hazards assumption, covariate effects are assumed to be constant in the follow‐up period of study. When…
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Keywords:
time;
effect;
measurement error;
error ... See more keywords
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Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9629
Abstract: In longitudinal studies, the inverse probability of treatment weighted (IPTW) method is commonly employed to estimate the effect of time‐dependent treatments on an outcome of interest. However, it has been documented that when the confounders…
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Keywords:
treatment effect;
effect;
measurement error;
method ... See more keywords
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Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9693
Abstract: The difference method is used in mediation analysis to quantify the extent to which a mediator explains the mechanisms underlying the pathway between an exposure and an outcome. In many health science studies, the exposures…
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Keywords:
measurement error;
error;
mediation;
exposure ... See more keywords
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Published in 2019 at "TEST"
DOI: 10.1007/s11749-018-0610-6
Abstract: This article studies a minimum distance regression model checking approach in the presence of Berkson measurement errors in covariates without specifying the measurement error density but when external validation data are available. The proposed tests…
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Keywords:
measurement error;
model;
minimum distance;
model checking ... See more keywords
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Published in 2022 at "Behaviour research and therapy"
DOI: 10.1016/j.brat.2022.104086
Abstract: There is strong interest in developing a more efficient mental health care system. Digital interventions and predictive models of treatment prognosis will likely play an important role in this endeavor. This article reviews the application…
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Keywords:
treatment;
measurement error;
sample size;
digital interventions ... See more keywords