Estimating Causal Effects

Estimating Causal Effects

Author: Barbara Schneider

Publisher:

Published: 2007

Total Pages: 160

ISBN-13:

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Explains the value of quasi-experimental techniques that can be used to approximate randomized experiments. The goal is to describe the logic of causal inference for researchers and policymakers who are not necessarily trained in experimental and quasi-experimental designs and statistical techniques.


Allocating Federal Funds for Science and Technology

Allocating Federal Funds for Science and Technology

Author: National Research Council

Publisher: National Academies Press

Published: 1995-11-22

Total Pages: 107

ISBN-13: 030917600X

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The United States faces a new challengeâ€"maintaining the vitality of its system for supporting science and technology despite fiscal stringency during the next several years. To address this change, the Senate Appropriations Committee requested a report from the National Academies of Sciences and Engineering and the Institute of Medicine to address "the criteria that should be used in judging the appropriate allocation of funds to research and development activities; to examine the appropriate balance among different types of institutions that conduct such research; and to look at the means of assuring continued objectivity in the allocation process." In this eagerly-awaited book, a committee of experts selected by the National Academies and the Institute responds with 13 recommendations that propose a new budgeting process and formulates a series of questions to address during that process. The committee also makes corollary recommendations about merit review, government oversight, linking research and development to government missions, the synergy between research and education, and other topics. The recommendations are aimed at rooting out obsolete and inadequate activities to free resources from good programs for even better ones, in the belief that "science and technology will be at least as important in the future as they have been in the past in dealing with problems that confront the nation." The authoring committee of this book was chaired by Frank Press, former President of the National Academy of Sciences (1981-1993) and Presidential Science and Technology Advisor (1977-1981).


Evaluation of the Congressionally Directed Medical Research Programs Review Process

Evaluation of the Congressionally Directed Medical Research Programs Review Process

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2016-12-19

Total Pages: 165

ISBN-13: 0309450047

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The medical research landscape in the United States is supported by a variety of organizations that spend billions of dollars in government and private funds each year to seek answers to complex medical and public health problems. The largest government funder is the National Institutes of Health (NIH), followed by the Department of Defense (DoD). Almost half of DoD's medical research funding is administered by the Congressionally Directed Medical Research Programs (CDMRP). The mission of CDMRP is to foster innovative approaches to medical research in response to the needs of its stakeholdersâ€"the U.S. military, their families, the American public, and Congress. CDMRP funds medical research to be performed by other government and nongovernmental organizations, but it does not conduct research itself. The major focus of CDMRP funded research is the improved prevention, diagnosis, and treatment of diseases, injuries, or conditions that affect service members and their families, and the general public. The hallmarks of CDMRP include reviewing applications for research funding using a two-tiered review process, and involving consumers throughout the process. Evaluation of the Congressionally Directed Medical Research Programs Review Process evaluates the CDMRP two-tiered peer review process, its coordination of research priorities with NIH and the Department of Veterans Affairs, and provides recommendations on how the process for reviewing and selecting studies can be improved.