Sentence examples for multiple disease outcomes from inspiring English sources
In this paper, we extended the work of Kang and Cai (2009) to a generalized stratified case-cohort study design for failure time data with multiple disease outcomes.
These, in turn, influence multiple risk factors and multiple disease outcomes 38, 41.
Low vitamin D status is common globally and is associated with multiple disease outcomes.
There was no clear preference for the type of presentation comparing risks for multiple disease outcomes over different time horizons (Table 3b).
In this section, we evaluate the association between predictors of breast cancer risk and different tumour characteristics simultaneously using a novel extension of polytomous logistic regression to account for multiple disease outcomes (Chatterjee, 2004).
Ren et al. (2010) reported that arsenic exposure may alter DNA methylation, globally affecting the expression of multiple genes; this may explain why exposure to arsenic is associated with multiple disease outcomes in different organs.
Despite the data and above-mentioned methodological constraints, the combined results of the analysis showed a distinctive high-risk profile for having the multiple-disease outcome characterised by open large cattle herds located in high-density cattle areas with frequent movements off to many locations within Wales.
The present score is the first predicting multiple chronic cardiometabolic disease outcomes and, as such, is a novelty in health care.
Furthermore, because the subcohort is a representative sample of the entire cohort without disease at enrollment, it is possible to adopt case-cohort design to study multiple different types of disease outcomes (e.g. multiple types of cancer) using the same subcohort.
The effects of multiple pathogens on the disease outcomes remain unclear, because neither the death rate nor the duration of diarrhea seemed to be affected by these factors.
Self-reported information about comorbidity and the burden it imposes can provide information about the concurrent impact of multiple disease states on QOL outcomes.
