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Why Most Clinical Research Is Not Useful
Why Most Clinical Research Is Not Useful
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Why Most Clinical Research Is Not Useful

Ioannidis, John P A

PLoS medicine, 2016-06, Vol.13 (6), p.e1002049-e1002049 [Periódico revisado por pares]

United States: Public Library of Science

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Rescuing US biomedical research from its systemic flaws
Rescuing US biomedical research from its systemic flaws
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Rescuing US biomedical research from its systemic flaws

Albertsa, Bruce ; Kirschner, Marc W. ; Tilghman, Shirley ; Varmusd, Harold

Proceedings of the National Academy of Sciences - PNAS, 2014-04, Vol.111 (16), p.5773-5777 [Periódico revisado por pares]

United States: National Academy of Sciences

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3
The Proposal to Lower P Value Thresholds to .005
The Proposal to Lower P Value Thresholds to .005
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The Proposal to Lower P Value Thresholds to .005

Ioannidis, John P. A

JAMA : the journal of the American Medical Association, 2018-04, Vol.319 (14), p.1429-1430 [Periódico revisado por pares]

United States: American Medical Association

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4
Diversity in Clinical and Biomedical Research: A Promise Yet to Be Fulfilled
Diversity in Clinical and Biomedical Research: A Promise Yet to Be Fulfilled
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Diversity in Clinical and Biomedical Research: A Promise Yet to Be Fulfilled

Oh, Sam S ; Galanter, Joshua ; Thakur, Neeta ; Pino-Yanes, Maria ; Barcelo, Nicolas E ; White, Marquitta J ; de Bruin, Danielle M ; Greenblatt, Ruth M ; Bibbins-Domingo, Kirsten ; Wu, Alan H B ; Borrell, Luisa N ; Gunter, Chris ; Powe, Neil R ; Burchard, Esteban G

PLoS medicine, 2015-12, Vol.12 (12), p.e1001918-e1001918 [Periódico revisado por pares]

United States: Public Library of Science

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5
Precision Medicine in Diabetes: A Consensus Report From the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)
Precision Medicine in Diabetes: A Consensus Report From the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)
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Precision Medicine in Diabetes: A Consensus Report From the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD)

Chung, Wendy K ; Erion, Karel ; Florez, Jose C ; Hattersley, Andrew T ; Hivert, Marie-France ; Lee, Christine G ; McCarthy, Mark I ; Nolan, John J ; Norris, Jill M ; Pearson, Ewan R ; Philipson, Louis ; McElvaine, Allison T ; Cefalu, William T ; Rich, Stephen S ; Franks, Paul W

Diabetes care, 2020-07, Vol.43 (7), p.1617-1635 [Periódico revisado por pares]

United States: American Diabetes Association

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6
A New Initiative on Precision Medicine
A New Initiative on Precision Medicine
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A New Initiative on Precision Medicine

Collins, Francis S ; Varmus, Harold

The New England journal of medicine, 2015-02, Vol.372 (9), p.793-795 [Periódico revisado por pares]

United States: Massachusetts Medical Society

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7
Sustaining the Clinical and Translational Research Workforce: Training and Empowering the Next Generation of Investigators
Sustaining the Clinical and Translational Research Workforce: Training and Empowering the Next Generation of Investigators
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Sustaining the Clinical and Translational Research Workforce: Training and Empowering the Next Generation of Investigators

Yin, Helen L ; Gabrilove, Janice ; Jackson, Rebecca ; Sweeney, Carol ; Fair, Alecia M ; Toto, Robert

Academic medicine, 2015-07, Vol.90 (7), p.861-865 [Periódico revisado por pares]

United States

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8
The rise of multiple imputation: a review of the reporting and implementation of the method in medical research
The rise of multiple imputation: a review of the reporting and implementation of the method in medical research
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The rise of multiple imputation: a review of the reporting and implementation of the method in medical research

Hayati Rezvan, Panteha ; Lee, Katherine J ; Simpson, Julie A

BMC medical research methodology, 2015-04, Vol.15 (1), p.30-30, Article 30 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Luo, Wei ; Phung, Dinh ; Tran, Truyen ; Gupta, Sunil ; Rana, Santu ; Karmakar, Chandan ; Shilton, Alistair ; Yearwood, John ; Dimitrova, Nevenka ; Ho, Tu Bao ; Venkatesh, Svetha ; Berk, Michael

Journal of medical Internet research, 2016-12, Vol.18 (12), p.e323-e323 [Periódico revisado por pares]

Canada: Gunther Eysenbach MD MPH, Associate Professor

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10
Knowledge translation in health: how implementation science could contribute more
Knowledge translation in health: how implementation science could contribute more
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Knowledge translation in health: how implementation science could contribute more

Wensing, Michel ; Grol, Richard

BMC medicine, 2019-05, Vol.17 (1), p.88-88, Article 88 [Periódico revisado por pares]

England: BioMed Central Ltd

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