Marc A. Suchard

University of California, Los Angeles (UCLA) - Department of Biostatistics

Los Angeles, CA 90095

United States

SCHOLARLY PAPERS

3

DOWNLOADS

72

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (3)

1.

Fusing a Bayesian Case Velocity Model with Random Forest for Predicting COVID-19 in the U.S.

Number of pages: 51 Posted: 11 Jun 2020
University of California, Los Angeles (UCLA) - Department of Biostatistics, University of California, Los Angeles (UCLA) - Department of Biostatistics, University of California, Los Angeles (UCLA) - Department of Biostatistics, University of California, Los Angeles (UCLA) - Department of Biostatistics, University of California, Los Angeles (UCLA) - Department of Biostatistics, University of California, Los Angeles (UCLA) - Department of Biostatistics, University of California, Los Angeles (UCLA) - Department of Biostatistics, University of California, Los Angeles (UCLA) - Department of Epidemiology, University of California, Los Angeles (UCLA) - Department of Biostatistics and University of California, Los Angeles (UCLA) - Department of Biostatistics
Downloads 66 (416,129)
Citation 1

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COVID-19; coronavirus; mathematical model; Bayesian mixed model; machine learning; random forests

2.

Characterizing Dual Combination Therapy Use in Treatment Escalation of Hypertension: Real-World Evidence from Multinational Cohorts

Number of pages: 36 Posted: 13 Jul 2021
Yale University - Center for Outcomes Research and Evaluation, IQVIA - Real World Solutions, IQVIA - Real World Solutions, Ajou University - Department of Biomedical Sciences, Singapore and Khoo Teck Puat Hospital - Singapore and Khoo Teck Puat Hospital, National University of Singapore (NUS) - Saw Swee Hock School of Public Health, Taipei Medical University, Taipei Medical University - International PhD Program in Biotech and Healthcare Management, Ajou University - School of Medicine, Taipei Medical University, National University of Singapore (NUS) - National University Heart Center and Yong Loo Lin School of Medicine, University of New South Wales (UNSW) - WHO Collaborating Center on eHealth, Taipei Medical University, University of New South Wales (UNSW) - WHO Collaborating Center on eHealth, Ajou University - Department of Cardiology, National University Health System (NUHS) - Group Chief Technology Office, Ming Chuan University - Taiwan Department of Healthcare Information and Management, Ajou University - Department of Biomedical Sciences, University of South Australia - Quality Use of Medicines and Pharmacy Research Center, IQVIA - Real World Solutions, Kyung Hee University Medical Center, National University Health System (NUHS) - Saw Swee Hock School of Public Health, Ajou University - Department of Biomedical Sciences, Health Sciences Authority, Yonsei University - Department of Preventive Medicine, Nanjing Medical University - Department of Medical Informatic, Yale University - Center for Outcomes Research and Evaluation, University of California, Los Angeles (UCLA) - Department of Biostatistics, Nanjing Medical University - Department of Medical Informatic, IQVIA - Real World Solutions and University of Texas at Houston - University of Texas Health Science Center at Houston
Downloads 6 (742,275)

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3.

A Systematic Statistical Approach to Evaluating Evidence from Observational Studies

Annual Review of Statistics and Its Application, Vol. 1, Issue 1, pp. 11-39, 2014
Posted: 07 Mar 2014
Columbia University - Department of Statistics, Foundation for the National Institutes of Health - Observational Medical Outcomes Partnership, Johnson & Johnson, Johnson & Johnson, Foundation for the National Institutes of Health - Observational Medical Outcomes Partnership, University of California, Los Angeles (UCLA) - Department of Biostatistics, Oracle Health Sciences, University of Florida - College of Pharmacy and Foundation for the National Institutes of Health - Observational Medical Outcomes Partnership

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