Relation between temperature and suicide mortality in Japan in the presence of other confounding factors using time-series analysis with a semiparametric approach

Table 2 The estimated risk of suicide for each degree increase in temperature using simple linear regression analysis

Region	Risk estimate	Standard error	t value	Pr(>\|t\|)
Hokkaido	0.0219	0.0019	11.79	<2e−16***
Tohoku	0.0435	0.0029	14.96	<2e−16**
Kanto	0.0068	0.0063	1.09	0.2780
Chubu	0.0377	0.0043	8.70	<2e−16***
Kinki	0.0007	0.0044	0.16	0.8720
Chugoku	0.0113	0.0027	4.22	0.0000***
Shikoku	−0.0010	0.0021	−0.45	0.6530
Kyushu	0.0073	0.0039	1.86	0.0629^†
Okinawa	0.0033	0.0016	2.00	0.0454*

The Pr(>|t|) is the p value for the slope: the probability of observing a t value this big or larger, if the null hypothesis (H0: slope = 0 is true). The t value is the value of Student's t for the slope = b/se_b. b is the slope, se_b is the standard error of the slope (b)
^†p = 0.1
* p = 0.05
** p = 0.01
*** p = 0.001

ISSN: 1347-4715