An editorial on the need to have person-centered research agenda, published in the Annals of Neuroscience.
Price A, Chatterjee P, Biswas R. time for person centered research in neuroscience: users driving the change. Annals of Neuroscience. 2014 Apr;21(2):37-40. doi: 10.5214/ans.0972.7531.210201. PubMed PMID: 25206057; PubMed Central PMCID: PMC4117163.
There is an exciting opportunity to change the landscape of clinical trials and new interventions. Research can now be tailored to the needs of the public through the use of public led online trials (PLOTs) and participatory research interventions in the form of user driven healthcare. We explore some of the advantages and pitfalls of collaborative participant centered research. Collaboration is made possible through online communication, social media, and the desire of researchers, the public and clinicians to work collaboratively for the common good.
A review article which was specially written for the series on “RESEARCH METHODOLOGY: STATISTICS IN MEDICAL RESEARCH” in Astrocyte.
Khan AM, Kumar R, Chatterjee P. Understanding the basic statistical questions that disturb a medical researcher. Astrocyte 2014;1(1):62-6
Medical research does not deal with only medical sciences; it is also dependent on other disciplines, and statistics is an integral part in its conduct. It is challenging for a medical researcher to grasp the importance of statistics and also to decide the types of statistical issues in the various phases of his/her medical research. There are inherent variations within and between the human/animal subjects used in medical research and these uncertainties can only be grasped using statistical tools. Initiating a medical research while taking into account the statistical aspects right at the planning stage is one of the best ways to conduct better evidence-based research. The validity of the results of a medical research depends not only on the methodology of conducting the study but also on the analysis of data collected. As opposed to the general perception, statistics not only deals with analysis of data but is also intricately interwoven with the methodology section of the research where sample sizes, inclusion/exclusion criteria, and others are mentioned. Although statistical softwares simplify the computational aspect of statistics, the confusing conceptual aspects make interpretation of the outputs difficult and incorrect. Seemingly simple terms such as population, sample, parameters, and variables have been explained keeping the medical researchers’ perspective in mind. This first article in the series “Statistics in Medical Research” makes an attempt to facilitate the medical researcher to overcome the initial questions that challenge him/her with regard to statistics.