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dc.contributor.advisorAndrew Lo.en_US
dc.contributor.authorKhalid, Ayesha N. (Ayesha Naz)en_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2014-09-19T21:46:52Z
dc.date.available2014-09-19T21:46:52Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/90220
dc.descriptionThesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2014.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 69-72).en_US
dc.description.abstractThere is great competition for clinical research funding. This is in part due to the National Institute of Health's reduced budget to support such initiatives. It has resulted in a growing trend for clinical research to use adaptive design models to accelerate clinical trials and at the same time reduce overall cost. Although such models have existed for several years, the pace of adoption remains slow, especially for early-stage clinical research. Through a review of relevant literature and interviews with industry experts, this thesis explores the barriers that inhibit the adoption of adaptive design of clinical trials. Reasons uncovered include: a lack of novel funding mechanisms, regulatory uncertainty, logistical difficulties, overly technical communications, a lack of collaboration among stakeholders, and an inability to recruit and retain patients. Then follows a series of possible solutions - some already functioning, others possible - for each of the barriers. This research found that unless efforts are devoted to addressing these underlying barriers, the widespread adoption of adaptive designs for clinical trials will not occur. The thesis concludes with recommendations and suggestions for future research.en_US
dc.description.statementofresponsibilityby Ayesha N. Khalid.en_US
dc.format.extent72 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectSloan School of Management.en_US
dc.titleAdaptive design of clinical trials : understanding the barriers to adoptionen_US
dc.typeThesisen_US
dc.description.degreeM.B.A.en_US
dc.contributor.departmentSloan School of Management
dc.identifier.oclc890374351en_US


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