1. Mobile phone and cordless phone use and the risk for glioma – Analysis of pooled case- control studies in Sweden, 1997–2003 and 2007–2009 
Lennart Hardell, Michael Carlberg 
Pathophysiology 
Volume 22, Issue 1, Pages 1-13 (March 2015)
DOI: /j.pathophys
Copyright © 2014 Elsevier B.V. Terms and Conditions

2. Fig. 1
Restricted cubic spline plot of the relationship between cumulative use of wireless phones and glioma. The solid line indicates the OR estimate and the broken lines represent the 95% CI. Adjustment was made for age at diagnosis, gender, SEI-code, and year for diagnosis. Population based controls were used.
Pathophysiology  , 1-13DOI: ( /j.pathophys )
Copyright © 2014 Elsevier B.V. Terms and Conditions

3. Fig. 2
Restricted cubic spline plot of the relationship between latency of wireless phones and glioma. The solid line indicates the OR estimate and the broken lines represent the 95% CI. Adjustment was made for age at diagnosis, gender, SEI-code, and year for diagnosis. Population based controls were used.
Pathophysiology  , 1-13DOI: ( /j.pathophys )
Copyright © 2014 Elsevier B.V. Terms and Conditions

4. Fig. 3
Restricted cubic spline plot of the relationship between latency of ipsilateral mobile phone use and glioma. The solid line indicates the OR estimate and the broken lines represent the 95% CI. Adjustment was made for age at diagnosis, gender, SEI-code, and year for diagnosis. Population based controls were used.
Pathophysiology  , 1-13DOI: ( /j.pathophys )
Copyright © 2014 Elsevier B.V. Terms and Conditions

5. Fig. 4
Restricted cubic spline plot of the relationship between latency of contralateral mobile phone use and glioma. The solid line indicates the OR estimate and the broken lines represent the 95% CI. Adjustment was made for age at diagnosis, gender, SEI-code, and year for diagnosis. Population based controls were used.
Pathophysiology  , 1-13DOI: ( /j.pathophys )
Copyright © 2014 Elsevier B.V. Terms and Conditions