Predicting trips to health care facilities: A binary logit and receiver operating characteristics (ROC) approach
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DOI: 10.1016/j.retrec.2024.101411
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More about this item
Keywords
Receiver operating characteristics; ROC; Prediction success; Binary logit; Out-patient trips; Aging; Longitudinal; China; CHARLS;All these keywords.
JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- I12 - Health, Education, and Welfare - - Health - - - Health Behavior
- I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
- J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
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