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Quantifying possible bias in clinical and epidemiological studies with quantitative bias analysis: common approaches and limitations

Bias in epidemiological studies can adversely affect the validity of study findings. Sensitivity analyses, known as quantitative bias analyses, are available to quantify potential residual bias arising from measurement error, confounding, and selection into the study. Effective application of these methods benefits from the input of multiple parties including clinicians, epidemiologists, and statisticians. This article provides an overview of a few common methods to facilitate both the use of these methods and critical interpretation of applications in the published literature. Examples are given to describe and illustrate methods of quantitative bias analysis. This article also outlines considerations to be made when choosing between methods and discusses the limitations of quantitative bias analysis.

Bias in epidemiological studies is a major concern. Biased studies have the potential to mislead, and as a result to negatively affect clinical practice and public health. The pot ....

United Kingdom , Sineadm Langan , Nicholasw Galwey , Ianj Douglas , Christophert Rentsch , Dorothea Nitsch , Ashley Cole , Jeremyp Brown , M Sanni Ali , Jacobn Hunnicutt , Krishnan Bhaskaran , London School Of Hygiene , Informatics Research , Mckesson Corporation , Boehringer Ingelheim , United Kingdom Kidney Association , Sanni Ali , London School , Tropical Medicine , United Kingdom Kidney Association Director ,

Heavy Drinking Not Tied to Lower Response to DAAs for Hepatitis C

Therapy should not be restricted based on alcohol use, researchers say ....

United States , Christophert Rentsch , International Statistical Classification Of Diseases , Department Of Veterans Affairs , Health Problems , International Classification Of Diseases , London School Of Hygiene Tropical Medicine , London School , Tropical Medicine , American Association , Infectious Diseases Society , Veterans Affairs , International Classification , Ninth Revision , International Statistical Classification , Related Health Problems , Tenth Revision ,

Lower Is Better for Blood Glucose to Reduce Heart Disease

"We uncovered compelling evidence that for blood sugar levels within the normal range, it was a case of the lower the better in protecting against heart disease," says lead researcher. ....

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Higher Blood Sugar Levels Elevate Cardiovascular Disease Risk

Higher Blood Sugar Levels Elevate Cardiovascular Disease Risk
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United Kingdom , Christophert Rentsch , Krishnan Bhaskaran , Christopher Rentsch , Rohini Mathur , Sophiev Eastwood , Lancet Regional Health , London School Of Hygiene Tropical Medicine , University College London , London School , Tropical Medicine , United Kingdom Biobank , Professor Krishnan Bhaskaran , Victoria Garfield , Liam Smeeth , Manish Chaturvedi ,

COVID-19 Collection

COVID-19 Collection
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