Results 241 to 250 of about 3,592,266 (281)

Approaches to address bias in letters of recommendation

Trends in Pharmacological Sciences, 2023
Letters of recommendation are ubiquitous in the research enterprise. Requesting, writing, and reviewing letters of recommendation are all fraught with bias, especially for individuals from groups historically excluded from research environments. We detail how letter reviewers, requesters, and writers can make letters of recommendation a more equitable ...
Vivian Y. Chang, Mary Munson, Christina Marie Termini   +2 more
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The Regression BIAS Method: A Unified Approach for Detecting Item BIAS and Selection BIAS

Educational and Psychological Measurement, 1985
Although several different procedures are available for detecting item bias and selection bias, there does not appear to be a single procedure for detecting both types of bias. It is proposed that the Regression Model, which is popular in selection bias research, be adopted for item bias detection, thereby providing a common framework for studying ...
Nambury S. Raju, Jacques Normand
openaire   +1 more source

Approach bias modification training (ApBM)

Gedragstherapie
Approach bias modification (ApBM) training as an adjunct to clinical treatment in patients with alcohol use disorder Characteristic features of the treatment for alcohol use disorder (AUD) are the high risk of treatment drop-out and relapse.
Nicolle van Mill, Laura de Fuentes-Merillas, Wiebren Markus, Reinout Wiers   +3 more
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Mesh Bias for the Eigenerosion Approach

PAMM, 2018
AbstractIn fracture mechanics, having the right crack path is a necessary condition for achieving reliable results. On the other hand, a discretized continuum is unable to represent a random crack path perfectly. Thus, challenges lie ahead on the accuracy of the numerical representation of this crack.
Aurel Qinami, Michael Kaliske
openaire   +1 more source

Structural Approach to Bias in Meta‐analyses

Research Synthesis Methods, 2011
Methods to calculate bias‐adjusted estimates for meta‐analyses are becoming more popular. The objective of this paper is to use the structural approach to bias and causal diagrams to show that (i) the current use of the bias‐adjusted estimating tools may sometimes introduce bias rather than reduce it and (ii) the Cochrane collaboration risk of bias ...
openaire   +2 more sources

Hindsight bias and causal reasoning: a minimalist approach

Cognitive Processing, 2011
What factors contribute to hindsight bias, the phenomenon whereby the known outcome of an event appears obvious only after the fact? The Causal Model Theory (CMT) of hindsight bias (Nestler et al. in Soc Psychol 39:182-188, 2008a; in J Expl Psychol: Learn Mem Cog 34:1043-1054, 2008b; Pezzo in Mem 11:421-441, 2003; Wasserman et al.
Jennelle E, Yopchick, Nancy S, Kim
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Other approaches for hidden bias*

2005
Abstract This chapter continues the discussion of the preceding chapter on how to deal with hidden bias caused by unobserved differences between the treatment (T) and control (C) groups. The preceding chapter presented practical and basic approaches; this chapter shows other approaches for hidden bias. Sensitivity analysis examines how a
openaire   +1 more source

Attentional bias to threat: A perceptual accuracy approach.

Emotion, 2008
To investigate attentional bias to threatening information, the authors propose a new version of the spatial cueing paradigm in which the focus is on perceptual accuracy instead of response speed. In two experiments, healthy volunteers made unspeeded discriminations between three visual targets presented left or right.
Stefaan Van Damme, Geert Crombez, Lies Notebaert   +2 more
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A retrieval-based approach to eliminating hindsight bias

Memory, 2016
Individuals exhibit hindsight bias when they are unable to recall their original responses to novel questions after correct answers are provided to them. Prior studies have eliminated hindsight bias by modifying the conditions under which original judgments or correct answers are encoded.
Martin, Van Boekel, Keisha, Varma, Sashank, Varma   +2 more
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A Quantitative Bias Analysis Approach to Informative Presence Bias in Electronic Health Records

Epidemiology
Accurate outcome and exposure ascertainment in electronic health record (EHR) data, referred to as EHR phenotyping, relies on the completeness and accuracy of EHR data for each individual. However, some individuals, such as those with a greater comorbidity burden, visit the health care system more frequently and thus have more complete data, compared ...
Hanxi Zhang, Amy S. Clark, Rebecca A. Hubbard   +2 more
openaire   +2 more sources