Aversion to ambiguity and model misspecification in dynamic stochastic environments. [PDF]
Proc Natl Acad Sci U S A, 2018 Preferences that accommodate aversion to subjective uncertainty and its potential misspecification in dynamic settings are a valuable tool of analysis in many disciplines.
Hansen LP, Miao J.
europepmc +4 more sources
Errors in Statistical Inference Under Model Misspecification: Evidence, Hypothesis Testing, and AIC [PDF]
Frontiers in Ecology and Evolution, 2019 The methods for making statistical inferences in scientific analysis have diversified even within the frequentist branch of statistics, but comparison has been elusive.
Brian Dennis +4 more
doaj +3 more sources
The Impact of Measurement Model Misspecification on Coefficient Omega Estimates of Composite Reliability. [PDF]
Educ Psychol Meas, 2023 Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a ...
Bell SM, Chalmers RP, Flora DB.
europepmc +2 more sources
A comparison of covariate adjustment approaches under model misspecification in individually randomized trials. [PDF]
Trials, 2023 Adjustment for baseline covariates in randomized trials has been shown to lead to gains in power and can protect against chance imbalances in covariates.
Tackney MS +5 more
europepmc +2 more sources
Genetic model misspecification in genetic association studies [PDF]
BMC Research Notes, 2017 Objective The underlying model of the genetic determinant of a trait is generally not known with certainty a priori. Hence, in genetic association studies, a dominant model might be erroneously modelled as additive, an error investigated previously.
Amadou Gaye, Sharon K. Davis
doaj +2 more sources
Minimum Penalized ϕ-Divergence Estimation under Model Misspecification [PDF]
Entropy, 2018 This paper focuses on the consequences of assuming a wrong model for multinomial data when using minimum penalized ϕ -divergence, also known as minimum penalized disparity estimators, to estimate the model parameters.
M. Virtudes Alba-Fernández +2 more
doaj +2 more sources
A new phylogenetic protocol: dealing with model misspecification and confirmation bias in molecular phylogenetics. [PDF]
NAR Genom Bioinform, 2020 Dedication To the memory of Rossiter H. Crozier (1943-2009), an evolutionary biologist, who with his generosity and inquisitiveness inspired many students and scientists, in Australia and abroad.
Jermiin LS, Catullo RA, Holland BR.
europepmc +2 more sources
Comparing performance between log-binomial and robust Poisson regression models for estimating risk ratios under model misspecification. [PDF]
BMC Med Res Methodol, 2018 BackgroundLog-binomial and robust (modified) Poisson regression models are popular approaches to estimate risk ratios for binary response variables. Previous studies have shown that comparatively they produce similar point estimates and standard errors ...
Chen W, Qian L, Shi J, Franklin M.
europepmc +2 more sources
Power and Sample Size Calculations for Genetic Association Studies in the Presence of Genetic Model Misspecification. [PDF]
Hum Hered, 2019 Introduction: When analyzing data from large-scale genetic association studies, such as targeted or genome-wide resequencing studies, it is common to assume a single genetic model, such as dominant or additive, for all tests of association between a ...
Moore CM, Jacobson SA, Fingerlin TE.
europepmc +2 more sources
Consequences of Model Misspecification for Maximum Likelihood Estimation with Missing Data
Econometrics, 2019 Researchers are often faced with the challenge of developing statistical models with incomplete data. Exacerbating this situation is the possibility that either the researcher’s complete-data model or the model of the missing-data mechanism is ...
Richard M. Golden +3 more
doaj +2 more sources