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The impact of bias due to exponentiation in the estimation of hazard, risk, and odds ratios: an empirical investigation from 1,495,059 effect sizes from MEDLINE/PubMed abstracts. [PDF]

BMC Med Res Methodol
Košuta T, Heinze G, Kastrin A, Kosmidis I, Blagus R.   +4 more
europepmc   +1 more source

Evaluation and Bias Analysis of Large Language Models in Generating Synthetic Electronic Health Records: Comparative Study.

J Med Internet Res
Huang R, Wu H, Yuan Y, Xu Y, Qian H, Zhang C, Wei X, Lu S, Zhang X, Kan J, Wan C, Liu Y.   +11 more
europepmc   +1 more source

Gender Bias and Selection Bias in House Elections [PDF]

Jeffrey Milyo, Samanth Schosberg
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Catalogue of bias: novelty bias

BMJ Evidence-Based Medicine, 2023
Novelty bias is the tendency for an intervention to appear better when it is new. It is also known as the ‘novel agent effects’ or ‘fading of reported effectiveness’.1 2 The mechanisms by which interventions appear better when new or new for a specific purpose are unknown and may involve other forms of bias having a more significant effect when an ...
Luo, Y, Heneghan, C, Persaud, N
openaire   +3 more sources

Common Method Bias in PLS-SEM: A Full Collinearity Assessment Approach

Int. J. e Collab., 2015
The author discusses common method bias in the context of structural equation modeling employing the partial least squares method PLS-SEM. Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common
N. Kock
semanticscholar   +1 more source

Catalogue of bias: observer bias

BMJ Evidence-Based Medicine, 2018
This article is part of a series featured from the Catalogue of Bias introduced in this volume ofBMJEvidence-Based Medicine that describes biases and outlines their potential impact in research studies. Observer bias is systematic discrepancy from the truth during the process of observing and recording information for a study.
Mahtani, K, Spencer, E, Brassey, J, Heneghan, C   +3 more
openaire   +4 more sources

Catalogue of bias: allocation bias

BMJ Evidence-Based Medicine, 2018
This article is part of a series of articles featuring the Catalogue of Bias introduced in this volume ofBMJ Evidence-Based Medicinethat describes allocation bias and outlines its potential impact on research studies and the preventive steps to minimise its risk.
Nunan, D, Heneghan, C, Spencer, E
openaire   +3 more sources

Sample selection bias as a specification error

, 1979
Sample selection bias as a specification error This paper discusses the bias that results from using non-randomly selected samples to estimate behavioral relationships as an ordinary specification error or «omitted variables» bias.
J. Heckman
semanticscholar   +1 more source