Ascidian development includes a wide set of variable traits, defined merely as the morphological and behavioural features that are determined throughout the life cycle.
Taking information from the US Census from 1970 to 2010, it attempted to measure the local changes in a wider set of variables – such as education, poverty, private school attendance or family income – against the city average.
Subsequently, preparation was started by carefully reviewing and selecting instruments to measure a wide set of health variables to answer the research questions.
In a clearly defined convenience sample of outpatients with stable systolic chronic heart failure (CHF), we could explore determinants of generic and disease-specific health-related quality of life (HRQOL) using a wide set of explanatory variables.
Given there is little evidence for patients with CHF recruited in primary care, our aim was to identify and explore the impact of determinants of generic and disease-specific HRQOL with respect to a wide set of individual and provider variables.
Despite testing a wide set of host types, farm types and anthropogenic variables, only two variables were associated with PRRS presence at the sub-district level.
We assess the sensitivity of the results across a wide set of alternative datasets, estimation specifications, variable specifications, and estimation methods.
In our broader specification we consider (in addition to the temporary contract indicator) a wide set of person-level demographics, including proxy variables of the workers' family background, ability, motivation, skills used at the workplace, and job characteristics.
We estimate a static random-effects (RE) probit model for the observed binary dependent variable conditional on a wide set of covariates regarding individuals' and their firms' characteristics measured at the wave prior to the year where the training information was elicited.
We use the extensive information available in LSYPE and expand our set of independent variables in an attempt to control for a wide set of factors affecting both NEET outcomes and personality traits.
