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All results are substantially similar to the main analysis described above.
The following sensitivity analyses will be completed and reported if they change the interpretation of the findings from the main analysis described above.
Although an analysis cannot show every aspect of trends in the data it was felt that the main analysis described in the results gave the strongest picture of how people were responding to the questionnaire.
First, analyses were conducted to examine only the caregivers who were parents of dependent children, rather than the larger group of caregivers of adults and/or children that was the focus of the main analysis described above.
In addition to the main analysis described in the methods section, our study will be able to address a number of other important research questions, some of which have not been addressed before.
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The meta-regression was repeated in a series of sensitivity analyses that used alternative data from one of the three studies while keeping the information from the other two studies unchanged from the main analysis, as described in Supplemental Material, Table S2.
We first constructed causal networks to dissect how genes in the regions of interest are regulated and related to each other and then we ranked candidate genes based on the causal networks, which is the key driver analysis described in the main text.
Multivariate analysis (described above) will take the main confounding factors into account.
These data were employed in the analysis (described in detail in the main text) to identify adverse events uniquely associated with sorafenib treatment.
We then provide an overview of real options analysis, describe the main analytical methods, and summarize its application to land use investment decisions.
A sample of 146 participants was extracted for the main analysis following the inclusion criteria described in Fig. 1 (short run-in period cohort).
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