The core of the curriculum includes research methodology, biostatistical techniques, data management, decision analysis, health economics and program evaluation.
Previously, Wong was a senior manager at Chevron with positions in research and technology; strategic planning; business analysis; health, environment and safety; mergers and acquisitions; and risk assessment.
By contrast, most people could tell you that Florence Nightingale was a nurse of historic significance, but few know she was an acclaimed statistician whose early pioneering work in data analysis, health services research and science, technology, engineering, and mathematics resulted in changes to the accepted healthcare practices of the time and resulted in countless lives saved.
Our core and affiliated faculty members teach a variety of courses each year on a wide range of topics, such as outcomes research, cost-effectiveness analysis, health economics, decision science, health-care systems, analytic methodology, implementation science and health law.
Concentrates on selected topics such as decision-making under uncertainty, cost-benefit analysis, health insurance, physician remuneration, government regulation, health care systems of developing countries, and the economics of AIDS.
Our faculty members teach a variety of courses on a wide range of topics, such as outcomes research, cost-effectiveness analysis, health economics, implementation and decision science, health-care systems and health law.
My research interests cover the gamut of health-services research and include traditional clinical outcomes research, patient-reported outcomes, comparative effectiveness review, economic analysis, health-technology assessment, and management and policy studies.
However, for our current analysis health-seeking behaviour for that particular patient was recorded for the most recent illness.
Based on linear regression analysis, health-related quality of life was -0.25 for patients with BI score 0, and increased by 0.05 with each additional BI point.
Outcome prediction is a key point in ICUs, not only for prognosis assessment, but also for cost-benefit analysis, health-care management, comparisons between centers, monitoring/assessment of new therapies and population sample comparison studies.
In meta-analysis, health-technology reports or systematic reviews this approach may be helpful to clarify the evidence given from uncontrolled observational studies.
