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David C Hoaglin

Showing results (41-50 of 47) with videos related to

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Medical Decision Making : an International Journal of the Society for Medical Decision Making|September 25, 2008
Modifying ICD-9-CM coding of secondary diagnoses to improve risk-adjustment of inpatient mortality ratesMichael Pine, Harmon S Jordan, Anne Elixhauser, et al.
JAMA|January 4, 2007
Enhancement of claims data to improve risk adjustment of hospital mortalityMichael Pine, Harmon S Jordan, Anne Elixhauser, et al.
Pharmaceutical Statistics|June 27, 2022
Win statistics (win ratio, win odds, and net benefit) can complement one another to show the strength of the treatment effect on time-to-event outcomesGaohong Dong, Bo Huang, Johan Verbeeck, et al.
JAMA Network Open|March 15, 2023
Associations Between Natural Language Processing-Enriched Social Determinants of Health and Suicide Death Among US VeteransAvijit Mitra, Richeek Pradhan, Rachel D Melamed, et al.
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research|June 15, 2011
Conducting indirect-treatment-comparison and network-meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2David C Hoaglin, Neil Hawkins, Jeroen P Jansen, et al.
Plos One|May 26, 2018
Efficacy and safety of direct oral anticoagulants approved for cardiovascular indications: Systematic review and meta-analysisRaghavendra Charan P Makam, David C Hoaglin, David D McManus, et al.
Archives of Internal Medicine|July 16, 2003
Prevalence and incidence of chronic fatigue syndrome in Wichita, KansasMichele Reyes, Rosane Nisenbaum, David C Hoaglin, et al.
Pageof 5

Showing results (41-50 of 47) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 47 results.
Medical Decision Making : an International Journal of the Society for Medical Decision Making|September 25, 2008
Modifying ICD-9-CM coding of secondary diagnoses to improve risk-adjustment of inpatient mortality ratesMichael Pine, Harmon S Jordan, Anne Elixhauser, et al.
JAMA|January 4, 2007
Enhancement of claims data to improve risk adjustment of hospital mortalityMichael Pine, Harmon S Jordan, Anne Elixhauser, et al.
Pharmaceutical Statistics|June 27, 2022
Win statistics (win ratio, win odds, and net benefit) can complement one another to show the strength of the treatment effect on time-to-event outcomesGaohong Dong, Bo Huang, Johan Verbeeck, et al.
JAMA Network Open|March 15, 2023
Associations Between Natural Language Processing-Enriched Social Determinants of Health and Suicide Death Among US VeteransAvijit Mitra, Richeek Pradhan, Rachel D Melamed, et al.
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research|June 15, 2011
Conducting indirect-treatment-comparison and network-meta-analysis studies: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 2David C Hoaglin, Neil Hawkins, Jeroen P Jansen, et al.
Plos One|May 26, 2018
Efficacy and safety of direct oral anticoagulants approved for cardiovascular indications: Systematic review and meta-analysisRaghavendra Charan P Makam, David C Hoaglin, David D McManus, et al.
Archives of Internal Medicine|July 16, 2003
Prevalence and incidence of chronic fatigue syndrome in Wichita, KansasMichele Reyes, Rosane Nisenbaum, David C Hoaglin, et al.
Pageof 5