References
- Langley P. Validation of modeled pharmacoeconomic claims in formulary submissions. J Med Econ 2015; 18(12): 993-999
- Schommer J, Carlson A, Rhee G. Validating pharmaceutical product claims: questions a formulary committee should ask. J Med Econ 2015; 18(12): 1000-1006
- Joshi P. Analyzing Big data tools and deployment plarforms. Int J Multi Approach Studies 2015;2:45-56
- Shah N, Tenenbaum J. The coming age of data-driven medicine: translational bioinformatics’ next frontier. JAMA 2012;19:2-4
- Rothstein M. Ethical issues in Big Data health research. J Law Med Ethics 2015;43:425-9
- Alyass A, Turcotte M, Meyre D. From Big data to personalized medicine for all: Challenges and opportunities. Med Genom 2015;43:425-9
- Sessler D. Big data and its contribution to peri-operative medicine. Anaesthesia 2014;69:100-4
- Abbott R. Big Data and pharmacovigilance: using health information exchanges to revolutionize drug safety. Iowa Law Rev 2013;99:225-73
- Hoffman S, Podgurski A. Big Bad Data: law, public health, and biomedical databases. J Law Med Ethics 2012;40:425-9
- Beck A. Open access to large scale datasets is needed to translate knowledge of cancer heterogeneity into better patient outcomes. PLoS One 2015;12:21001794
- Lister C, Davies M. Big Data of the people, for the people. Anaesthesia 2014;69:513-14
- Massie A, Kuricka L, Segev D. Big Data in organ transplantation: registries and administrative claims. Am, J Transplant 2014;14:1723-30
- Kaplan R, Chambers D, Glasgow R. Big Data and large sample size: a cautionary note on the potential for bias. Clin Trans Sci J 2014;7:342-6
- Wasser T, Wu J, Turnceli O. Applying weighting methodologies to a commercial database to project United States census demographic data. Am J Man Care 2015;3(3):33-7
- Kuiler E. From Big data to knowledge: an ontological approach to Big Data analytics. Ren Policy Res 2014;31:311-18