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A unified framework for bias assessment in clinical research
(
Lippincott, Williams & Wilkins
, 2019 , Article)
Methodological flaws, limitations, and inadequate practices in research are well known and pose threats to the internal validity of any research study. However, there are ways of safeguarding research conduct to reduce the ...
Methodological quality assessment should move beyond design specificity.
(
Lippincott, Williams & Wilkins
, 2023 , Article)
This study aimed to assess the utility of a unified tool (MASTER) for bias assessment against design-specific tools in terms of content and coverage. Each of the safeguards in the design-specific tools was compared and ...
Letter re: stratification by quality is not recommended in meta-analysis.
(
Elsevier
, 2019 , Other)
None
Stratification by quality induced selection bias in a meta-analysis of clinical trials.
(
Elsevier
, 2018 , Article)
The inconsistency demonstrated across strata when using different scales has been attributed to quality scores and stratification continues to be done using risk of bias domain judgments. This study examines if restricting ...
Comparison of bias adjustment methods in meta-analysis suggests that quality effects modeling may have less limitations than other approaches.
(
Elsevier
, 2019 , Article)
The quality of primary research is commonly assessed before inclusion in meta-analyses. Findings are discussed in the context of the quality appraisal by categorizing studies according to risk of bias. The impact of appraised ...