Identifying and Eliminating Bias in Interventional Research Studies-A Quality Indicator

C Santhosh Kumar, Shweta Somasundara, Yale
unpublished
This review article deals with highlighting the importance of identification and elimination mechanisms of important biases in interventional research studies.In simple terms, Bias means a systematic error that can occur in the event of any phase of the research, during planning, implementing, data collection, analysis and also during publication stage. An in-depth knowledge regarding the bias allows researchers and readers to critically and independently review the scientific literature and
more » ... id interventions which are suboptimal or potentially harmful. A thorough understanding of bias has a stronger implication towards conducting good research and publishing high quality articles, which are very much essential for the practice of evidence-based practice.
fatcat:lpz2ishcgrazhgczsg6cem5doi