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 1 Evaluation of the presence of deterministic terms; stationarity and normality of the standardized rate of acute coronary events (ACEs) time series; and detrended and differenced time series

Tests Time series	Trend		Jump	Period	Stationarity	Normality
Tests Time series	Mann–Kendall	Seasonal Mann–Kendall	Mann–Whitney	Fisher	Kwiatkowski–Phillips–Schmidt–Shin	Jarque–Bera
Main time series	0.02	0.24	2.78	5.85	0.19	66.29
Detrended time series	100	37.75	46.77	1.14E + 03	44.55	53.06
Differenced time series	81.96	28.07	97.54	1.25E + 04	98.48	54.48

Fisher critical value: 3. Fisher < 3 means the absence of a period, other tests: critical value 0.05, acceptable value > 0.05

ISSN: 1479-5876