Lost in Translation: Piloting a Novel Framework to Assess the Challenges in Translating Scientific Uncertainty From Empirical Findings to WHO Policy Statements. [PDF]
, 2017 BACKGROUND:Calls for evidence-informed public health policy, with implicit promises of greater program effectiveness, have intensified recently. The methods to produce such policies are not self-evident, requiring a conciliation of values and norms ...
Benmarhnia, Tarik +2 more
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Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2023 Introduction Study inclusion criteria and recruitment practices limit the generalizability of randomized‐controlled trial (RCT) results. Statistical modeling could enhance generalizability of outcomes.
Vahan Aslanyan +7 more
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Kernel-blending connection approximated by a neural network for image classification
Computational Visual Media, 2020 This paper proposes a kernel-blending connection approximated by a neural network (KBNN) for image classification. A kernel mapping connection structure, guaranteed by the function approximation theorem, is devised to blend feature extraction and feature
Xinxin Liu +5 more
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External Validity: From Do-Calculus to Transportability Across Populations [PDF]
, 2014 The generalizability of empirical findings to new environments, settings or populations, often called "external validity," is essential in most scientific explorations. This paper treats a particular problem of generalizability, called "transportability,"
Bareinboim, Elias, Pearl, Judea
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On the dependability and feasibility of layperson ratings of divergent thinking [PDF]
, 2018 A new system for subjective rating of responses to divergent thinking tasks was tested using raters recruited from Amazon Mechanical Turk. The rationale for the study was to determine if such raters could provide reliable (aka generalizable) ratings from
Hass, Richard W. +2 more
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Research Methods Brief: Attrition Happens (and What to Do About It)
Journal for Deradicalization, 2021 Attrition (participant "dropout") is the loss of participants from a program/initiative or longitudinal (e.g., pre/post) data collection. If participants dropout for non-random, systematic reasons, those factors bias the sample and limit the study or ...
Michael J. Williams
doaj
The Social Psychology Of Perception Experiments: Hills, Backpacks, Glucose, And The Problem Of Generalizability [PDF]
, 2012 Experiments take place in a physical environment but also a social environment. Generalizability from experimental manipulations to more typical contexts may be limited by violations of ecological validity with respect to either the physical or the ...
Durgin, Frank H. +4 more
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Validity, reliability, and generalizability in qualitative research
Journal of Family Medicine and Primary Care, 2015 In general practice, qualitative research contributes as significantly as quantitative research, in particular regarding psycho-social aspects of patient-care, health services provision, policy setting, and health administrations.
Lawrence Leung
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Robustness and Generalization [PDF]
, 2010 We derive generalization bounds for learning algorithms based on their robustness: the property that if a testing sample is "similar" to a training sample, then the testing error is close to the training error.
A. Ben-Tal +57 more
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Reverse-Net: Few-Shot Learning with Reverse Teaching for Deformable Medical Image Registration
Applied Sciences, 2023 Multimodal medical image registration has an important role in monitoring tumor growth, radiotherapy, and disease diagnosis. Deep-learning-based methods have made great progress in the past few years.
Xin Zhang +3 more
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