Graphical smoothing with cubic splines was used to illustrate age trends in prevalence.
Table 1 illustrates age range and level of refereeing activity in the cohort.
Table 1 illustrates age and outcome of patients with biliary diagnosis including recurrent acute pancreatitis in each group within one year from index admission.
The main effects plot illustrates age as the most significant driver of cost compared to the other two variables, gender and region.
*calculated with the chi-square test Table 2 illustrates age, gender, and mode of admission (acute/elective), and length of index (cholecystectomy) stay for patients who underwent cholecystectomy for biliary disease including acute pancreatitis 2000 2003.
To better support this paragraph, we have replaced one of the plots in Figure 4 to illustrate age distributions, and added Figure 5 to better illustrate the results that were already in the text regarding the change in the overlap of repertoires with transmission intensity.
Figure 4 illustrates age-related losses or gains in circadian photoreception relative to a 10-year-old eye.
Figure 1 illustrates age-specific all-cause mortality rates, sex ratio and absolute difference in age-specific mortality rates in 1998.
Age-specific mortality rates were plotted against period and the median year of birth to illustrate age-group and birth cohort effects.
When compared to the SILC 2009, these figures were higher in 7 countries (i.e. more than 5% differences), as illustrate age-standardised and gender comparisons (Additional file 1).
Even with the combination of errors in age and sex at the 20% level, the only clearly observable change in population composition is related to the rise in age. Figure 2 illustrates age-specific mortality rates based on the gold standard data and data containing errors in age and missed deaths.
