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Multiple regression analysis for dynamics of patient volumes
Ahmet Duran
*
, Mohammed Farrukh
*
Corresponding author for this work
Department of Mathematics Engineering
University of Michigan, Ann Arbor
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Keyphrases
Regression Analysis
100%
Patient Volume
100%
Health Systems
60%
Multiple Regression Model
40%
Unemployment Rate
40%
Resident Population
40%
Health Care Services
20%
University of Michigan
20%
Threshold Level
20%
Nonlinear Behavior
20%
Income Insurance
20%
Level Curves
20%
Percent Change
20%
Interaction Terms
20%
Quadratic Response Surface
20%
Heterogeneous Customers
20%
Health Insurance
20%
Dummy Variable
20%
Economic Crisis
20%
Population Rates
20%
Mathematics
Multiple Regression Model
100%
Multiple Regression Analysis
100%
Dummy Variable
50%
Percent Change
50%
Interaction Term
50%
Real Data
50%
Level Curve
50%
Response Surface
50%
Threshold Level
50%
Computer Science
Resident Population
100%
Threshold Level
50%
Real Data Sets
50%
Nonlinear Behavior
50%
Response Surface
50%
Dummy Variable
50%
Interaction Term
50%
Economic Recession
50%
Social Security
50%
Social Sciences
Unemployment Rate
100%
Resident Population
100%
Professional Occupations
50%
Social Security
50%
Time Series
50%
Economic Recession
50%
Economics, Econometrics and Finance
Time Series
100%
Economic Recession
100%