B Appendix B: Supplementary figures

Study-specific quadratic associations between coffee consumption and all-cause mortality. The relative risks are presented on a log scale using 0 cups/day as referent [@crippa2016red].

Figure B.1: Study-specific quadratic associations between coffee consumption and all-cause mortality. The relative risks are presented on a log scale using 0 cups/day as referent (Crippa et al., 2016b).

Empirical distributions for within-error terms for the study-specific linear trend in a dose--response meta-analysis between processed and red meat and bladder cancer risk [@crippa2016red].

Figure B.2: Empirical distributions for within-error terms for the study-specific linear trend in a dose–response meta-analysis between processed and red meat and bladder cancer risk (Crippa et al., 2016b).

Graphical visualization of the study-specific exposure distribution for 13 studies included in a dose--response meta-analysis between red meat consumption (g per day) and bladder cancer risk. The crosses and circles are, respectively, the referent and non-referent assigned doses of red meat consumption.

Figure B.3: Graphical visualization of the study-specific exposure distribution for 13 studies included in a dose–response meta-analysis between red meat consumption (g per day) and bladder cancer risk. The crosses and circles are, respectively, the referent and non-referent assigned doses of red meat consumption.

Comparison of different strategies (quadratic, spike at 0, and categorical models) in a dose--response meta-analysis of coffee consumption (cups/day) and all-cause mortality. The relative risks are presented on the log scale using 1 cup/day as referent.

Figure B.4: Comparison of different strategies (quadratic, spike at 0, and categorical models) in a dose–response meta-analysis of coffee consumption (cups/day) and all-cause mortality. The relative risks are presented on the log scale using 1 cup/day as referent.

Variance Partition Coefficient, $\textrm{VPC}_{ij}$, versus observed dose levels plot and LOWESS smoother for dose--response meta-analysis between coffee consumption (cusp/day) and all-cause mortality using a quadratic and meta-regression model.

Figure B.5: Variance Partition Coefficient, \(\textrm{VPC}_{ij}\), versus observed dose levels plot and LOWESS smoother for dose–response meta-analysis between coffee consumption (cusp/day) and all-cause mortality using a quadratic and meta-regression model.