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Nonproportional Hazards for Time-to-Event Outcomes in Clinical Trials: JACC Review Topic of the Week.

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Title: Nonproportional Hazards for Time-to-Event Outcomes in Clinical Trials: JACC Review Topic of the Week.
Authors: Gregson J; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom. Electronic address: John.gregson@lshtm.ac.uk., Sharples L; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom., Stone GW; Population Health Sciences and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; The Cardiovascular Research Foundation, New York, New York., Burman CF; Statistical Innovation, Data Science and Artificial Intelligence, Research and Development, AstraZeneca, Gothenburg, Sweden., Öhrn F; Statistical Innovation, Data Science and Artificial Intelligence, Research and Development, AstraZeneca, Gothenburg, Sweden., Pocock S; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Source: Journal of the American College of Cardiology [J Am Coll Cardiol] 2019 Oct 22; Vol. 74 (16), pp. 2102-2112.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Biomedical Country of Publication: United States NLM ID: 8301365 Publication Model: Print Cited Medium: Internet ISSN: 1558-3597 (Electronic) Linking ISSN: 07351097 NLM ISO Abbreviation: J Am Coll Cardiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Gregson+J%22">Gregson J</searchLink>; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom. Electronic address: John.gregson@lshtm.ac.uk.<br /><searchLink fieldCode="AU" term="%22Sharples+L%22">Sharples L</searchLink>; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Stone+GW%22">Stone GW</searchLink>; Population Health Sciences and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; The Cardiovascular Research Foundation, New York, New York.<br /><searchLink fieldCode="AU" term="%22Burman+CF%22">Burman CF</searchLink>; Statistical Innovation, Data Science and Artificial Intelligence, Research and Development, AstraZeneca, Gothenburg, Sweden.<br /><searchLink fieldCode="AU" term="%22Öhrn+F%22">Öhrn F</searchLink>; Statistical Innovation, Data Science and Artificial Intelligence, Research and Development, AstraZeneca, Gothenburg, Sweden.<br /><searchLink fieldCode="AU" term="%22Pocock+S%22">Pocock S</searchLink>; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
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        Value: 10.1016/j.jacc.2019.08.1034
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              Text: 2019 Oct 22
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