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Articles 1 - 5 of 5
Full-Text Articles in Medicine and Health Sciences
Intellectual Property And Public Health – A White Paper, Ryan G. Vacca, Jim Chen, Jay Dratler Jr., Tom Folsom, Timothy Hall, Yaniv Heled, Frank Pasquale, Elizabeth Reilly, Jeff Samuels, Kathy Strandburg, Kara Swanson, Andrew Torrance, Katharine Van Tassel
Intellectual Property And Public Health – A White Paper, Ryan G. Vacca, Jim Chen, Jay Dratler Jr., Tom Folsom, Timothy Hall, Yaniv Heled, Frank Pasquale, Elizabeth Reilly, Jeff Samuels, Kathy Strandburg, Kara Swanson, Andrew Torrance, Katharine Van Tassel
Ryan G. Vacca
On October 26, 2012, the University of Akron School of Law’s Center for Intellectual Property and Technology hosted its Sixth Annual IP Scholars Forum. In attendance were thirteen legal scholars with expertise and an interest in IP and public health who met to discuss problems and potential solutions at the intersection of these fields. This report summarizes this discussion by describing the problems raised, areas of agreement and disagreement between the participants, suggestions and solutions made by participants and the subsequent evaluations of these suggestions and solutions.
Led by the moderator, participants at the Forum focused generally on three broad …
Pufa And Vitamin D And Type 2 Diabetes Inflammatory Markers, Paulo A. Lotufo
Pufa And Vitamin D And Type 2 Diabetes Inflammatory Markers, Paulo A. Lotufo
Paulo A Lotufo
No abstract provided.
Non-Inferiority Trials [In Portuguese], Paulo A. Lotufo
Non-Inferiority Trials [In Portuguese], Paulo A. Lotufo
Paulo A Lotufo
No abstract provided.
Patient Enrollment In Medical Trials: Selection Bias In A Randomized Experiment, Anup Malani
Patient Enrollment In Medical Trials: Selection Bias In A Randomized Experiment, Anup Malani
Anup Malani
Self-selection can bias estimates of treatment effects from randomized experiments if one is interested in extrapolating results to the general population. This paper notes that there is an isomorphism between the Roy model for the sorting of workers into sectors and the decision of subjects to participate in randomized experiments. The main implication is that, as the probability of receiving active treatment rises, patients who are less optimistic about new treatment will begin to enroll and estimates of treatment effects will fall. This, in turn, implies that selection bias is positive. These findings are confirmed with data from trials of …
Testing A Theory Of Decision Making Derived From King's Systems Framework In Women Eligible For A Cancer Clinical Trial, H.E. Ehrenberger, M.R. Alligood, Sandra Thomas, D.C. Wallace, C.M. Licavoli
Testing A Theory Of Decision Making Derived From King's Systems Framework In Women Eligible For A Cancer Clinical Trial, H.E. Ehrenberger, M.R. Alligood, Sandra Thomas, D.C. Wallace, C.M. Licavoli
Sandra Thomas
The purpose of this study was to test an explanatory theory of decision-making in women eligible for a cancer clinical trial. The theory derived from King’s framework proposed that the concepts of uncertainty, role functioning, and social support relate to emotional health (hope and mood state), which in turn relates to the treatment decision. A correlational study design was used to test the theory in a sample of 40 women. Findings provided empirical evidence of the adequacy of King’s framework and supported, in part, theorized relationships among the critical factors. However, these factors did not illuminate the treatment decision.