Figure 1 shows the temporal progression of the estimates of within-flock R 0 for the outbreak periods considered in the analysis.
In separate analyses (results not shown) as well as together, late-life physical, social and cognitive activities did not affect the association of harm avoidance and progression of parkinsonism (Estimate = 0.003, S.E. = 0.001, p = 0.003).
Prior work has linked harm avoidance with cognition, we found that controlling for baseline global cognition, did not affect the association of harm avoidance and progression of parkinsonism (Estimate, 0.004, S.E. 0.001, p < 0.001).
Adding terms for BMI and BMI squared (because both very low and very high body mass affect health) as well as for vascular risk factors and vascular diseases, first in separate analyses (results not shown) and then together in a single model did not affect the association of harm avoidance and the progression of parkinsonism (Estimate = 0.005, S.E. = 0.001, p = 0.005).
4) A modelling study of the performance of monitoring strategies on detecting progression, utilising estimates of accuracy, patterns of disease progression and estimates of measurement error from studies 1), 2) and 3).
Whilst our longitudinal cohort will not have adequate power to detect differences in progression, our estimates of the accuracy of eGFR (study 1), patterns and determinants of progression (study 2), and intra-individual biological variation (study 3) can be combined in a model to evaluate the impact of alternative monitoring strategies on detection of progression to stage 4 CKD.
Using both time to death and progression improved the accuracy of estimates compared to time to death alone, though did not provide as good a prediction as progression only.
These estimates are based on the probability of progression, estimates used for treatment skipping and proportion of patients expected to die at each treatment line.
The genetic associations with the occurrence and progression of NPC were estimated by logistic regression.
The cutoff values of sHA concentration predictive of the development and progression of OA were estimated.
