Skip to main content

Advertisement

Table 3 temperature effects and AR estimates from GAM and GAMAR(4)

From: Using a generalized additive model with autoregressive terms to study the effects of daily temperature on mortality

  GAM   GAMAR(4)  
Estimate Se Z Pr(>|z|) Estimate Se Z Pr(>|z|)
ns(temp1,5)1 0.2443 0.0212 −11.5349 0.0000 −0.1947 0.0254 −7.6621 0.0000
ns(temp1,5)2 0.2668 0.0281 −9.4929 0.0000 −0.2290 0.0322 −7.1108 0.0000
ns(temp1,5)3 0.3278 0.0258 −12.6878 0.0000 −0.2989 0.0290 −10.3113 0.0000
ns(temp1,5)4 0.3422 0.0495 −6.9160 0.0000 −0.2898 0.0568 −5.1052 0.0000
ns(temp1,5)5 0.2254 0.0283 −7.9578 0.0000 −0.2569 0.0320 −8.0179 0.0000
ns(temp2,4)1 0.2355 0.0197 −11.9372 0.0000 −0.1833 0.0248 −7.3986 0.0000
ns(temp2,4)2 0.1599 0.0225 −7.1233 0.0000 −0.1430 0.0263 −5.4312 0.0000
ns(temp2,4)3 0.2472 0.0443 −5.5748 0.0000 −0.1978 0.0526 −3.7603 0.0002
ns(temp2,4)4 0.0752 0.0251 −3.0007 0.0027 −0.0559 0.0297 −1.8838 0.0596
AR1      0.1426 0.0211 6.7521 0.0000
AR2      0.0773 0.0223 3.4664 0.0005
AR3      0.1179 0.0221 5.3466 0.0000
AR4      0.1259 0.0223 5.6398 0.0000
  1. Estimate: estimate for a parameter.
  2. Se: Standard Error for a parameter.
  3. Z=Estimate/Se, which approximately follows N(0,1).
  4. Pr(>|z|): the probability of obtaining Z at least as extreme as the one that was actually observed, assuming that the true value is 0. This time P value is derived from N(0,1).