Are geometric morphometric analyses replicable? Evaluating landmark measurement error and its impact on extant and fossil Microtus classification
Sign Up to like & getrecommendations! 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… read more here.
Keywords: landmark; classification; geometric morphometric; error ... See more keywords
A test for gene–environment interaction in the presence of measurement error in the environmental variable
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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… read more here.
Keywords: test; error; exposure; interaction ... See more keywords
Revisiting measurement and representation errors in geophysical sciences: From classical collocation‐based measurement error estimation to “sampling‐aware field‐informed retrieval”, a method that explicitly accounts for representation errors
Sign Up to like & getrecommendations! Published in 2025 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.5073
Abstract: The quantities of interest in geosciences (e.g., atmospheric wind, rock porosity) typically exhibit structure across a wide range of spatial and temporal scales. As a result, it is insufficient to define measurement errors as some… read more here.
Keywords: measurement error; measurement representation; representation; representation errors ... See more keywords
A Nonparametric Regression Calibration for the Accelerated Failure Time Model With Measurement Error
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DOI: 10.1002/sim.10299
Abstract: Accelerated failure time models are appealing due to their intuitive interpretation. However, when covariates are subject to measurement errors, naive estimation becomes severely biased. To address this issue, the regression calibration (RC) approach is a… read more here.
Keywords: failure time; regression calibration; measurement error; accelerated failure ... See more keywords
Nonparametric Estimation for Propensity Scores With Misclassified Treatments
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DOI: 10.1002/sim.10306
Abstract: In the framework of causal inference, average treatment effect (ATE) is one of crucial concerns. To estimate it, the propensity score based estimation method and its variants have been widely adopted. However, most existing methods… read more here.
Keywords: binary treatments; propensity; nonparametric estimation; measurement error ... See more keywords
Transfer Learning for Error‐Contaminated Poisson Regression Models
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DOI: 10.1002/sim.70163
Abstract: Poisson regression model has been a popular approach to characterize the count response and the covariates. With the rapid development of data collections, the additional source information can be easily recorded. To efficiently use the… read more here.
Keywords: measurement error; transfer learning; error; poisson regression ... See more keywords
Covariate Balancing With Measurement Error
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DOI: 10.1002/sim.70300
Abstract: In recent years, there is a growing body of causal inference literature focusing on covariate balancing methods. These methods eliminate observed confounding by equalizing covariate moments between the treated and control groups. The validity of… read more here.
Keywords: measurement error; covariate balancing; covariate; error covariate ... See more keywords
Estimating recurrence and incidence of preterm birth subject to measurement error in gestational age: A hidden Markov modeling approach.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: measurement error; birth; gestational age; approach ... See more keywords
Estimating onset time from longitudinal data in the presence of measurement error with application to estimating gestational age from maternal anthropometry during pregnancy.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: estimating gestational; methodology; age; gestational age ... See more keywords
Approximate profile likelihood estimation for Cox regression with covariate measurement error
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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,… read more here.
Keywords: regression; approximate profile; measurement error; error ... See more keywords
Split and combine simulation extrapolation algorithm to correct geocoding coarsening of built environment exposures
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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… read more here.
Keywords: simulation extrapolation; built environment; measurement error; environment ... See more keywords