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Grant: Operating Grant

Sunnybrook Research Institute (Toronto, Ontario)

$214,103.00

Statistical methods for health services research

FY 2013-14

Summary
Statistics is the science of collecting, examining, and interpreting information. Statistics forms the foundation of medical research. We will improve existing statistical tools and develop new statistical tools for use by medical researchers. Our research has three objectives. First, doctors want to improve the quality of medical care that they provide to patients. We will develop statistical tools that will allow doctors to compare the quality of care provided patients at different hospitals. We will also develop statistical tools to allow doctors to examine hospital performance on a set of different measures of quality of care. This will allow doctors to identify hospitals at which the quality of care needs to be improved. Second, researchers want to determine the effect of treatments on the health of patients. We will develop statistical tools that will help medical researchers to determine the effect of treatments on the health and quality of life of these patients. This will help doctors to select the best treatments for patients. Third, doctors are interested in predicting patient prognosis after a specific diagnosis or after undergoing surgery. We will develop statistical tools to improve the accuracy of these predictions. We will develop statistical tools using mathematical methods. We will then use these tools to analyze large datasets. One dataset will contain information on patients with heart attacks admitted to hospitals in Ontario. Another dataset will contain information on patients who were hospitalized with heart failure at hospitals in Ontario. We will also use large computer experiments to examine how well these statistical tools work. Our project is unique because it will strengthen the foundation on which medical research is built. Our project will provide improved research tools for use by medical researchers. We will provide these research tools to other medical researchers.
Program
Operating Grant
Location
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
290869
Name
Austin Peter C
Region
Ontario
Country
Canada
Orgtype
Research Institution; Institution Paid
Instname2
Health Services and Policy Research
Theme2
Health systems / services
Prcname2
Health Services Evaluation & Interventions Research 2
Projecttitle
Statistical methods for health services research
Programtype2
Operating Grants
Orgnameinp2
Sunnybrook Research Institute (Toronto, Ontario)
Cihramount2
$214,103
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Large Database Analyses; Monte Carlo Simulations; Predictive Models; Propensity Score Methods; Provider Profiling; Statistical Methods
Abstract
Statistics is the science of collecting, examining, and interpreting information. Statistics forms the foundation of medical research. We will improve existing statistical tools and develop new statistical tools for use by medical researchers. Our research has three objectives. First, doctors want to improve the quality of medical care that they provide to patients. We will develop statistical tools that will allow doctors to compare the quality of care provided patients at different hospitals. We will also develop statistical tools to allow doctors to examine hospital performance on a set of different measures of quality of care. This will allow doctors to identify hospitals at which the quality of care needs to be improved. Second, researchers want to determine the effect of treatments on the health of patients. We will develop statistical tools that will help medical researchers to determine the effect of treatments on the health and quality of life of these patients. This will help doctors to select the best treatments for patients. Third, doctors are interested in predicting patient prognosis after a specific diagnosis or after undergoing surgery. We will develop statistical tools to improve the accuracy of these predictions. We will develop statistical tools using mathematical methods. We will then use these tools to analyze large datasets. One dataset will contain information on patients with heart attacks admitted to hospitals in Ontario. Another dataset will contain information on patients who were hospitalized with heart failure at hospitals in Ontario. We will also use large computer experiments to examine how well these statistical tools work. Our project is unique because it will strengthen the foundation on which medical research is built. Our project will provide improved research tools for use by medical researchers. We will provide these research tools to other medical researchers.
Competitiondate
201309
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Austin, Peter C
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $214,103~ $0~
Sunnybrook Research Institute (Toronto, Ontario) - $2… | Canada Spends