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8 patients developed deep venous thrombosis and had an average risk factor of 23.8 l. 3 patients developed pulmonary embolism had an average risk factor of 23.6.
However, simple grouping with average risk factor levels over gender groups overestimate the cost-effectiveness.
These will differ from the mortality and average risk factor values in the INTERHEART study.
No risk stratification, i.e. using average risk factor levels (analysis 1), would tend to overestimate the cost-effectiveness.
The average risk factor is normalized by considering γ1 α1 + γ2 α2 = 1, thus, heterogeneity is fully parameterized by α1 and γ1.
We also determine the average risk factor change and the odds of meeting predefined criteria for clinically significant improvement in risk factors that are associated with specific categories of weight change.
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People in the younger group fall outside normative screening guidelines, and develop cancers for reasons related to greater than average risk factors, including genetic risk.
To perform the recalibration, we needed to estimate from the local population the average values for each risk factor and the probability that a subject with the average risk factors survived the study period without being diagnosed with T2DM.
In China, young age group, urban people, Hui ethnicity and the earlier treated patients are all high risk factors for infection with Beijing genotype strains, while Uyghur and Zhuang ethnicity are lower than average risk factors for infection.
For the published models, we also performed the recalibration step (see Appendix A) to assess the extent to which the lack of calibration was caused simply by differences in baseline incidence rates and average risk factors between the two populations.
As shown in Table 2, the analysis data revealed that young age group, urban people and Hui ethnicity are all high risk factors for infection with Beijing genotype strains, while Uyghur and Zhuang ethnicity are lower than average risk factors for infection, similar to univariate analysis.
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