Similar statements were made by Tainio et al. [ 32] in their statistical modeling study.
The results from our patient level statistical model study must be treated with caution, given the small sample size.
Finally, there were also many methodological differences across studies, including statistical models, study population characteristics (e.g., age and sex), use of lag days (e.g., a single lag and multiple lag), and potential confounders considered.
The statistical models studied differ by the distributional assumptions made on β, and by the shortness of presentation they are referred to by the corresponding inferential procedure.
We combine quantitative organism-wide fluorescence imaging ("deep imaging"), functional genomics ("deep sequencing"), and statistical modeling to study systems biology and evolutionary cell biology of flatworms, including free living planarians and parasitic flukes.
Third, to understand the underlying dimensions of the electoral competition in Taiwan and to understand each candidate's electoral support, we run a multivariate statistical model to study how strategic voting, candidate personalities, party identification, and issues influenced respondents' vote choices.
Then we build statistical models to study the relation between them, especially how districting parameters and intermediate measurements affect the final performance variables.
Despite extensive statistical modeling, our study suggests residual confounding, sometimes referred to as the "healthy user" effect, persists.
Here we use statistical models to study the incidence of human miRNA genes on fragile sites and their association with cancer-specific translocation breakpoints, repetitive elements, and CpG islands.
Before performing statistical modeling, the study objectives should be clearly stated in advance, as well as the statistical tests that will be employed.
