A Conceptual Introduction to Regression

Turner, Dana P.; Deng, Hao

doi:10.1111/head.13834

Cited by 5 publications

(9 citation statements)

References 22 publications

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“…Univariate regression estimates the relationship between a single predictor and an outcome variable, and multivariable regression estimates the relationship between several predictors and an outcome variable; the latter allows researchers to account for confounding variables, which helps to reduce potential bias between the main predictor(s) of interest and the outcome. 26…”

Section: Regressionmentioning

confidence: 99%

Health Services Research in Anesthesia: A Brief Overview of Common Methodologies

Illescas

Zhong

Cozowicz

et al. 2022

Anesthesia &Amp; Analgesia

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The use of large data sources such as registries and claims-based data sets to perform health services research in anesthesia has increased considerably, ultimately informing clinical decisions, supporting evaluation of policy or intervention changes, and guiding further research. These observational data sources come with limitations that must be addressed to effectively examine all aspects of health care services and generate new individual- and population-level knowledge. Several statistical methods are growing in popularity to address these limitations, with the goal of mitigating confounding and other biases. In this article, we provide a brief overview of common statistical methods used in health services research when using observational data sources, guidance on their interpretation, and examples of how they have been applied to anesthesia-related health services research. Methods described involve regression, propensity scoring, instrumental variables, difference-in-differences, interrupted time series, and machine learning.

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Section: Regressionmentioning

confidence: 99%

Health Services Research in Anesthesia: A Brief Overview of Common Methodologies

Illescas

Zhong

Cozowicz

et al. 2022

Anesthesia &Amp; Analgesia

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show abstract

“…This editorial continues the series on methods and statistics in the Journal. [1][2][3][4][5][6][7][8][9][10][11] Before beginning this primer, readers are encouraged to become familiar with related concepts outlined in previous installments. 3,7,11 This conceptual introduction to confidence intervals covers the basic principles of this complex topic, and, for interested readers, further information can be obtained in numerous in-depth texts.…”

Section: Guest Editorials Understanding and Applying Confidence Intervalsmentioning

confidence: 99%

“…This editorial continues the series on methods and statistics in the Journal 1‐11 . Before beginning this primer, readers are encouraged to become familiar with related concepts outlined in previous installments 3,7,11 .…”

mentioning

confidence: 99%

Understanding and Applying Confidence Intervals

2020

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“…This editorial continues the methods and statistics primer series in the Journal 1‐9 . This installment introduces several experimental designs and their use in headache research.…”

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confidence: 95%