Variables

Model 3^{d}

Model 4^{d}


B^{a} and (t^{b})

B^{a} and (t^{b})


A. Lung cancer
  
(Constant)

6.661 (2.591*)

−12.629 (−3.959*)

Distance

−5.159E−04 (−7.470*)

0.003 (8.235*)

Distance^{2}

–

−2.620E−07 (−8.159*)

N of reference points

1000

1000

\( {\text{R}}^{2} \)

0.393

0.458

\( {\text{R}}_{\text{adjusted}}^{2} \)

0.386

0.450

ΔR^{2}

–

0.065

F change^{e}

–

36.658*

B. NHL cancer
  
(Constant)

9.119 (5.231*)

−9.144 (−4.388*)

Distance

−2.862E−04 (−5.991*)

0.003 (13.359*)

Distance^{2}

–

−2.415E−07 (−12.791*)

N of reference points

1000

1000

\( {\text{R}}_{{}}^{2} \)

0.242

0.369

\( {\text{R}}_{\text{adjusted}}^{2} \)

0.234

0.361

ΔR^{2}

–

0.127

F change^{e}

–

92.855*

 Model 3: Multivariate linear model
 Model 4: Multivariate quadratic model

^{a}Regression coefficient

^{b}
tstatistics in the parentheses

^{c}The models reported in the table are estimated for the distances to the “best performing” source locations, marked by small triangles in Fig. 4, that is, source locations distances to which help to improve the models’ fits most significantly (see text for explanations)

^{d}The models are controlled for distance to the nearest main road (m), elevation above the sea level (m), percent of Jewish population in the SCA, SCA Socioeconomic status, distance to the sea (m), manufacturing employment (% of total population of SCA), NO_{x} (ppb), PM _{2.5} (ppb), total population over 65 (%),smoking rate in the SCA (%) and distance to the nearest main road (m)

^{e}Ftest of R^{2}change compared to model without hazard source distances (i.e., Models 3A or 3B, respectively)