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Such bifurcations have been observed in savannas, where the characteristic coexistence of trees and grasses in the landscape depends on climatic and edaphic constraints (primarily rainfall and soil hydrological characteristics), and their interactions with demographic constraints imposed by fire, herbivory and other factors that impact on woody recruitment and mortality (Sankaran et al., 2004).
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Interaction with demographic factors including age, sex, blood cobalt levels, blood chromium levels, and Oxford hip score was undertaken using an ANOVA analysis.
A case control study was conducted to examine the associations of TP53 rs2078486 and rs1042522 SNPs with lung cancer risk in a Chinese population and further explore their interactions with some demographic and lifestyle factors.
Our case control study of 156 gastric cancer cases and 444 hospital-based controls evaluated for the first time the effect of apoE genotypes and their interactions with selected demographic and lifestyle factors on the risk of gastric cancer among an Italian population.
Finally, ANOVA, along with correlation tests, were used to test for significant correlations, while ANCOVA was used to test for interaction effects with demographic factors.
To date, over 20 000 black cancer patients have been interviewed, of whom the majority (over 90%) have donated blood specimens for evaluation of infectious and genetic risk factors for cancer and their interactions with socio-demographic and environmental factors collected via questionnaire.
No significant interactions were found with demographic or clinical characteristics.PPT was significantly associated with self-reported single and multijoint symptoms.
Potential interactions of headache types with demographic (age, gender) or environmental (habitat, altitude) factors in the associations with psychiatric caseness or total neuroticism score were tested by creating an interaction term (the product of the two independent variables: eg, age category*headache type) which was added to the regression model.
Additional file 2: Appendix B. Rank-ordered logit model estimates with interactions per demographic characteristic.
Although we look mainly at employment, we also pay attention to other life events and examine interactions with the standard socio-demographic variables (age, gender, origin).
The objectives of this paper are to: (a) empirically identify the major HIV risk groups; (b) examine how these risk groups are related to demographics, interactions with others, risk behaviors, and community (site); and (c) evaluate the predictive validity of these risk groups in terms of future risk behaviors.
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