Moreover, because the main advantage of the ethnographic approach is that it provides a deeper understanding of one or more cases, it is useful for generating questions and hypotheses that can then be explored using other methodologies [ 36].
We explored this activity in the context of human impacts on the environment and on the long-term ability of species to survive environmental changes (as a follow-up from the natural selection activity), but it can be explored using other contexts (Additional file 1; see also suggestions below).
Other areas to be explored using our 9-tuple method include the incorporation of position-sensible strategies to identify regions of sequence identity or similarity, and the use of parsimony optimization criteria to estimate trees from our similarity search scheme.
To our knowledge, the role of obesity in predicting mortality among patients with diabetes has not been explored using measures other than BMI.
The association between parental education, household income, single parenthood, nationality, and parental working status on one hand, and their children's mental health on the other, was explored using multivariable logistic regression models.
Functional connections between gene signatures derived from the comparison between African-American and European-American breast patients and gene signatures induced by small molecules (164 molecules that target cancer and other diseases) were explored using the Connectivity Map database at http://www.broad.mit.edu/cmap.edu/cmap
Associations between HLE and other parameters were explored using Pearson's chi-square test, Student's t-test, or non-parametric tests when appropriate.
The association between socio-demographic variables and each measure of time spent cooking, after mutual adjustment for all other variables, was explored using separate regression models.
Differences in attitudes, competency, and the other characteristics were explored using Chi Square analyses for categorical variables and one-way ANOVAs for continuous variables.
The relationship between the cost per visit and the level of capacity use, as well as other possible determinants, was explored using multiple regression analysis – Ordinary Least Squares (OLS) was used.
Associations with gender, age, social class (manual (IIIb, IV and V) and non-manual (I, II and IIIa)) and cardiovascular comorbidity were explored using logistic regression models adjusting for all other factors and cognitive function based on MMSE by score (less than 18, 18 21, 22 25 and 26 30).
