If for the intersection hypotheses, the joint distribution of the p-values p j, j∈ J, are known, a weighted min- p test can be defined (Westfall and Young, 1993; Westfall et al., 1998).
Our results support the hypothesis that the joint effect of different predictor sets can be highly relevant in spatial patterns of biodiversity due to spatial collinearity.
Collapsing non-significant genotypes at each locus allowed us to test the hypothesis that the joint effects of susceptibility genotypes -2518 MCP-1 GG and -1607 MMP-1 2G/2G are greater than that of the independent (main) effects of these two genotypes.
Despite these limitations, the current study provided a unique opportunity to test the hypothesis of the joint association between early life famine exposure and later life environment with the risk of metabolic syndrome in adulthood.
We also tested the hypothesis that the joint effect of genetic propensity to asthma and environmental exposure on the risk of childhood asthma is greater than expected on the basis of their independent effects.
We also conducted a sensitivity analysis to evaluate different prior probabilities of the four hypotheses under the joint BHT design.
Even though the kin-cohort design allows for the evaluation of gene-gene interactions [ 17], we did not perform such an analysis because of its very low statistical power and because of a lack of strong prior biologic hypotheses about the joint effect of SNPs in the genes studied.
To test this hypothesis, we examined the joint effects of the complaints of chronic insomnia and poor sleep (a milder form of insomnia) and objective sleep duration on the prevalence of diabetes in a large cross-sectional population-based sample from Central Pennsylvania (Penn State Cohort).
13 ( frac{varDelta net worth}{varDelta post- recession} = -0.264+0.21(migrant -0.119 migrant -0.119f mixednt=0.243kern0.20em mifed = 0. ) The F-statistic tests the hypothesis of joint significance of the estimigrant=1fficients.
Table 4 presents the estimated coefficients, a t test for the null hypothesis (H_{0}:beta _{1}=1), and a Wald test for the joint hypothesis (beta _{0}=0) and (beta _{1}=1).
