Show simple item record

dc.contributor.advisorFiona Murray and Andrew W. Lo.en_US
dc.contributor.authorWagner, Alice Elizabeth, 1980-en_US
dc.contributor.otherHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.date.accessioned2012-01-12T19:30:14Z
dc.date.available2012-01-12T19:30:14Z
dc.date.copyright2011en_US
dc.date.issued2011en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/68469
dc.descriptionThesis (S.M.)--Harvard-MIT Division of Health Sciences and Technology, 2011.en_US
dc.descriptionCataloged from PDF version of thesis. "Pages 65-70 contain illegible text. This is the best copy available"--P. after t.p.en_US
dc.descriptionIncludes bibliographical references (p. 63-64).en_US
dc.description.abstractInvestors have difficulty funding the life sciences because of the high risks involved in research and development and commercialization of new products. Risk in the biopharmaceutical industry is the result of scientific, regulatory and economic uncertainty. The nature of the biopharmaceutical industry introduces many challenges. Each of these challenges incorporates a measure of risk into drug development. The level of understanding of technical success interdependencies has not been fully investigated. These interdependencies (correlations) could lead to an overall greater risk to the company's portfolio than previously expected. A better understanding of the risks that lead to success or failure in drug development might encourage more investment in the life sciences and specifically in the biopharmaceutical industry, and a greater awareness of the correlations between risks and products might lead to more informed decision making on a biopharmaceutical portfolio leading increased productivity. A dataset was collected from Thomson Reuters. The dataset is the oncology portfolio from a biopharmaceutical company, Genentech Inc. Logistic regression was used to determine if any of the defined variables contributed to the success or failure of the oncology products. The chi-square value was 7.738 with the degrees of freedom equal to 5 and with a p-value of 0.17. Therefore, none of the variables significantly contributed to the outcome. More research should be performed in this area in order to better understand the risk in a biopharmaceutical portfolio.en_US
dc.description.statementofresponsibilityby Alice Elizabeth Wagner.en_US
dc.format.extent74 p.en_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.subjectHarvard University--MIT Division of Health Sciences and Technology.en_US
dc.titleUnderstanding risk in a biopharmaceutical portfolioen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.identifier.oclc769908949en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record