Reducing bias in observational studies

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منابع مشابه

Avoiding Bias in Observational Studies

T he randomized clinical trial is a well established and frequently used study design and is generally accepted as the gold standard (1). Nevertheless, many questions can only be answered with epidemiological observational studies, such as the influence of cigarette consumption on the development of lung cancer (2), the effects of sport, nutrition and overweight on cardiovascular diseases (3), ...

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Reducing Bias in Observational Studies Using Subclassification on the Propensity Score

The propensity score is the conditional probability of assignment to a particular treatment given a vector of observed covariates. Previous theoretical arguments have shown that subclassification on the propensity score will balance all observed covariates. Subclassification on an estimated propensity score is illustrated, using observational data on treatments for coronary artery disease. Five...

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Matching with Propensity Scores to Reduce Bias in Observational Studies

In observational studies subjects are not randomly assigned to treatment and control groups. Therefore, both groups can be significantly different from each other and their differences after applying a treatment cannot be attributed to the treatment effect. Propensity scores methods offer a way to balance groups by matching treatment and control units based on a set of covariates. This paper ex...

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[Confounding bias due to indication and severity in observational studies].

Observational studies are subject to biases that may lead to misinterpretation of the results. This study aimed to determine the influence of omeprazole treatment on the duration of sick leave in patients with ankle sprains treated with non-steroidal anti-inflammatory drugs. We used the Ibermutuamur database. Contrary to our expectations, sick leave was longer in patients who received omeprazol...

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ژورنال

عنوان ژورنال: Korean Journal of Anesthesiology

سال: 2020

ISSN: 2005-6419,2005-7563

DOI: 10.4097/kja.20348