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Selection Bias, Confounding, or Information Bias? [PDF]
Hypertension, 2007 To the Editor, As a public health advocate against tobacco use, I find the recent article by Jatoi et al1 interesting and quite informative. As an epidemiologist, I also have a few concerns surrounding the methodologic issues of such study findings. One of the most essential components of a comprehensive tobacco control program is to disseminate the ...
openaire +2 more sources
Kerala Journal of Psychiatry, 2021 Case-control studies (CSS) are observational analytic studies done often in instances of rare cases or outcomes. In a case-control study, clearly defined cases and controls arising from the same population is compared for well-measured exposures.
Pankajakshan Vijayanthi Indu +1 more
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Consequences de la sélection de variables sur l'interprétation des résultats en régression linéaire multiple [PDF]
Biotechnologie, Agronomie, Société et Environnement, 2005 Consequences of variable selection on the interpretation of the results in multiple linear regression. A priori or a posteriori variable selection is a common practise in multiple linear regression.
Palm R., Akossou AYJ.
doaj
Avoiding selection bias in gravitational wave astronomy
New Journal of Physics, 2013 When searching for gravitational waves in the data from ground-based gravitational wave detectors, it is common to use a detection threshold to reduce the number of background events which are unlikely to be the signals of interest.
C Messenger, J Veitch
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BMC Medical Research Methodology, 2003 Background The aim of this article is to explore ways in which selection bias and ascertainment bias can be reduced and investigated in trials, by using the example of a drug trial carried out in both developed and developing countries in hospital ...
Pinol Alain PY +5 more
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Selective Inference for Testing Trees and Edges in Phylogenetics
Frontiers in Ecology and Evolution, 2019 Selective inference is considered for testing trees and edges in phylogenetic tree selection from molecular sequences. This improves the previously proposed approximately unbiased test by adjusting the selection bias when testing many trees and edges at ...
Hidetoshi Shimodaira +3 more
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randomizeR: An R Package for the Assessment and Implementation of Randomization in Clinical Trials
Journal of Statistical Software, 2018 Randomization in clinical trials is the key design technique to ensure the comparability of treatment groups. Although there exist a large number of software products which assist the researcher to implement randomization, no tool which would cover a ...
Diane Uschner +3 more
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An Information-Theoretic Measure for Balance Assessment in Comparative Clinical Studies
Entropy, 2020 Limitations of statistics currently used to assess balance in observation samples include their insensitivity to shape discrepancies and their dependence upon sample size.
Jarrod E. Dalton +2 more
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Response-Based Sampling for Binary Choice Models With Sample Selection
Econometrics, 2018 Sample selection models attempt to correct for non-randomly selected data in a two-model hierarchy where, on the first level, a binary selection equation determines whether a particular observation will be available for the second level (outcome equation)
Maria Felice Arezzo +1 more
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Safety Net Design and Systemic Risk: New Empirical Evidence [PDF]
, 2005 Recent econometric evidence has noticeably changed views on the desirability and the appropriate design of explicit Deposit Insurance Schemes (DIS). The purpose of this paper is to take a second look at the data. After surveying recent empirical work and
Klüh, Ulrich
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