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The ARIMA model with dummy variables can be written as follows: where is the differencing operator, Y t represents the dependent variable at time t (sex-specific cancer mortality ratesnumber of deaths per 100,000 population), is a constant (which marks the average annual changes due to other causes), is the coefficient value of the AR (1) term, C i , t is the control variables considered in the estimation, i is the number of control variables, is the coefficient values of the control variables, is the coefficient value of the MA (1) term ( E t 1), D j , t is the one-off event dummy variable j at time t , n is the number of dummy variables and j is the estimates of the effect of the events or interventions

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