Exact(7)
Recent developments in weather data availability and advances in statistical modelling mean that we can now begin to test the conditional factors for weather interpretation outlined above.
The moderated mediation effect was also tested with the same PROCESS program, which can test the conditional indirect effect, including the recommended bootstrapping.
To test the sequential mediation model (Hypotheses 5) and the moderated mediation model (Hypotheses 7), we adopted a bootstrapping analysis by using the PROCESS program in SPSS provided by Hayes (2013), which could test the conditional indirect effect to provide support for the sequential mediation and moderated mediation model.
Following the above procedure, we were able test the conditional cooperator hypothesis by directly measuring the positive/negative influence of unconditional cooperators/defectors on their immediate neighbors.
To test the conditional consecutive CID/ETD validation method, we extracted 10 841 CID/ETD MS/MS spectral pairs fulfilling one of the three criteria.
If we wish to check genes A and B are d-separated by gene C, the following formula is extended to test the conditional independency among genes.
Similar(53)
Two multi-item scales representing impairment were used to test the conditional-effects hypothesis: 1) cognitive impairment was measured by the Blessed Test [ 26]; and 2) number of personal-care dependencies with bathing, dressing, grooming, toileting, eating and mobility inside a house (Cronbach's alpha of.73,.82 atd.81 at baseline, six months and twelve months, respectively) [ 33].
Four p values (two for testing the conditional effects and the other two for testing time effects under different conditions) can be obtained from the above model for each gene.
We tested the conditional independence assumption on the expectations calculated at each EM step of the PARADIGM run (Fig. 4A).
We examined associations between uptake and potentially related factors in bivariate and then multivariate analysis using the Mantel Haenszel procedure [ 33], which tests the conditional independence of two dichotomous variables while controlling for confounders using stratification.
We have considered four methods including two statistical association tests (the LR test and the Wald test) and two types of AUC tests (the F test of ideal AUC and the nonparametric test of the conditional AUC including the DeLong et al. method and the U-statistics based method).
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