selection bias
Using interviewer random effects to remove selection bias from HIV prevalence estimates
... a selection variable allowing estimation of Heckman-type selection ...these selection models which overcomes non-convergence caused by collinearity, small sample bias, and incorrect inference ...
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Choosing a Method to Reduce Selection Bias: A Tool for Researchers
... reduce selection bias, each with their own requirements and ...with selection is known and measured ...the selection of an ap- propriate method, depending upon the details of a study and any ...
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Selection bias and subject refusal in a cluster-randomized controlled trial
... The instructions on how to generate screening lists of potentially eligible patients should be as clear and spe- cific as possible for research personnel to follow. For example, each site could have been instructed to ...
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Country development and manuscript selection bias: a review of published studies
... script selection bias is increasing by time. Publication bias is a preventable problem[17] and we suggest that "Devel- oping country bias" should be intentionally stated as an ...
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Selection trials:comparing approaches for correcting sample selection bias in evaluating the gender wage gap
... sample selection bias dominates the more conventional method of modelling participation ...of selection models, focusing on gender wage gaps, for a large number of countries around the ...
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Selection bias and econometric remedies in accounting and finance research
... for selection bias due to unobservables However, the IMR term(s) does not correct for the bias because the second-stage model is ...sample selection would be appropriate (Greene [2002], ...
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Selection bias in clinical stroke trials depending on ability to consent
... the selection of a patient popula- tion representative for “ real world ” stroke ...a selection bias in basic demograph- ics and classic stroke characteristics as well as in typical outcome ...
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Risk of selection bias in randomized trials: further insight
... Kahan, Rehal, and Cro [1] are to be congratulated for drawing attention to a rather important problem in trial design, namely how to reduce or eliminate the risk of selection bias. The remedial methods ...
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Choosing a method to reduce selection bias: A tool for researchers
... reduce selection bias, each with their own requirements and ...with selection is known and measured ...the selection of an ap- propriate method, depending upon the details of a study and any ...
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How to Test and Detect Selection Bias in Innovation
... the selection bias will exacerbate the occurrence of zero observations, one can wonder whether a zero-inflated Poisson regression model can be used to control for some of the effects of the selection ...
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Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets
... a selection bias (Heckman, 1977; Zadrozny, ...the bias can reveal the label information, resulting in the “leakage features,” which are irrelevant to the content/semantic of the sentences but are ...
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On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias
... Causal discovery becomes especially challenging when the possibility of latent confounding and/or selection bias is not assumed away. For this task, ancestral graph models are particularly useful in that ...
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Problems of Sample-selection Bias in the Historical Heights Literature: A Theoretical and Econometric Analysis
... investigated this possibility, but translating food production into consumption estimates is dicult. Floud et al (1990, pp.233-243) doubted whether such studies could contribute much to the debate. The puzzle provoked a ...
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Reducing selection bias in case-control studies from rare disease registries
... is selection bias, which is inherent in the observational design of the registry and the flexibility accorded to contributors to determine which patients to include and what data to submit ...such ...
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Adjusting selection bias in German health insurance records for regional prevalence estimation
... Background: Regional prevalence estimation requires epidemiologic data with substantial local detail. National health surveys may lack in sufficient local observations due to limited resources. Therefore, corresponding ...
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Estimating Labor Supply at the Extensive Margin in the presence of Sample Selection Bias
... Some of modelling di¢culties for empirical work of labor supply includes the enodgeneity and heterogeneity problems, inclusion of stochastic elements in microsimulation and dealing with nonlinear nature of tax-bene…t ...
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Improved estimates of the benefits of breastfeeding using sibling comparisons to reduce selection bias
... positive selection bias, that is, of bias that leads to overestimates of the benefits of being ...negative selection bias in estimates of the duration effects of ...
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Internal Migration, Selection Bias and Human Development: Evidence from Indonesia and Mexico
... Looking at health status, the picture is slightly worse for migrant households at baseline and we observe a further deterioration in the follow up survey. These simple observations are further substantiated when we ...
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Genetic association studies and the effect of misclassification and selection bias in putative confounders
... Genetic epidemiology studies often adjust for numerous covariates when estimating associations between genetic variants and an outcome of interest [1-3]. However, several authors have questioned whether acquired risk ...
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Identification of Causal Effects in the Presence of Selection Bias
... 2012b). Selection bias has challenged inferences throughout a wide range of disciplines, including AI (Cooper 1995; Elkan 2001; Zadrozny 2004; Cortes et ...
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