A continuous data driven translational model to evaluate effectiveness of population-level health interventions: case study, smoking ban in public places on hospital admissions for acute coronary events

Table 2 Statistical indices for the stochastic-based linear modeling

Superior models			R%	SI%	MAPE%	RMSRE%	E_NS	AICC
ARMA	(7,5)	Train	77.95	4.94	4.16	4.84	0.61	269.04
ARMA	(7,5)	Test	81.87	3.46	2.89	3.54	0.66	−15.84
ARIMA	(9,1,4)	Train	78.60	4.89	3.75	4.78	0.61	271.71
ARIMA	(9,1,4)	Test	73.74	4.21	2.89	4.37	0.50	−5.55

ARMA (7,5) auto-regressive moving average for seven non-seasonal auto-regressive parameters and five non-seasonal moving average parameters, ARIMA (9,1,4) auto-regressive integrated moving average for nine non-seasonal auto-regressive parameters, one non-seasonal differencing and four non-seasonal moving average parameters, R correlation coefficient, SI Scatter index, MAPE mean absolute percentage error, RSMRE root mean square relative error, E_N-S Nash–Sutcliffe model efficiency, AICC Akaike information criterion

ISSN: 1479-5876