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Short-term predictions of the total medical costs of California counties
Gary Kleinman
, Dinesh Pai
, Kenneth D. Lawrence
Accounting and Finance
Research output
:
Chapter in Book/Report/Conference proceeding
›
Chapter
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peer-review
1
Scopus citations
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Keyphrases
Adjusted R2
33%
Best Predictor
33%
Cost Change
33%
Decision Maker
33%
Demographic Data
33%
Deviation Score
33%
Facility Planning
33%
Financial Planning
33%
Health Care Costs
100%
Health Costs
33%
Healthcare
33%
Healthcare Demand
33%
Healthcare Expenditure
100%
Healthcare Facilities
33%
Holdout
33%
Local Decision Makers
33%
Mean Absolute Deviation
33%
Medical Costs
100%
Motivation
33%
One-state Reality
33%
Personal Income
33%
Prediction Model
33%
R2 Value
33%
Regression Model
33%
Short-term Prediction
100%
Statistical Methods
33%
Strategic Planning
33%
United States
33%
Social Sciences
Decision Maker
100%
Financial Planning
50%
Health Care Services
50%
Health Economics
100%
Strategic Planning
50%
Nursing and Health Professions
Health Care
16%
Health Care Cost
100%
Health Care Facility
16%
Health Care Manpower
16%
Health Economics
100%
Economics, Econometrics and Finance
Health Economics
100%
Statistical Method
100%