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Table 2 Posterior Inference, Bayesian Structural Time-Series Model

From: The effect of the COVID-19 pandemic on mental health calls for police service

 

Average

Cumulative

Actual

13

557

Prediction (SD)

11 (0.78)

457 (32.57)

95% CI

[9.4, 12]

[393.9, 520]

Absolute Effect (SD)

2.4 (0.78)

100.3 (32.57)

95% CI

[0.87, 3.9]

[35.55, 163.1]

Relative Effect (SD)

22% (7.1%)

22% (7.1%)

95% CI

[8%, 36%]

[8%, 36%]

  1. Bayesian One-Sided Tail-Area Probability: p < .001
  2. Posterior Probability of a Causal Effect: 99.9%