Sentence examples for objective population from inspiring English sources

Table 9 Scores for critical appraisal References Objective Population Intervention Outcome measure Statistical analysis Results and conclusions   Hypothesis/aim/objective stated clearly? 2. Participants described?

Thus, the initialization process consists in finding the good weight to attribute to each sub-element of the analyzed sample to make it representative of the objective population.

Additional study details (e.g., study objective, population characteristics, clinical and PRO results including results of MOS-HIV subscales) are available in the Additional file 1: Appendix.

When planning and managing health resources directed to prevent tobacco consumption it is important to know the nicotine dependence of the objective population.

However, objective population measures of physical activity, such as pedometers or accelerometers (18), may be beneficial to determine whether differences between groups revealed in this study represent true differences in physical activity behaviour.

However, objective population measures of physical activity, such as pedometers (42) or accelerometers (43), may be beneficial to determine if differences between groups revealed in the present study represent true differences in physical activity behavior.

Definitive conclusions regarding longer sleep time among Blacks await objective, population-based studies.

Selection of instruments for future research will therefore require careful evaluation of study design and objectives, population characteristics, the presence of disease-related factors, and outcomes of interest.

The tool is composed of 14 criteria inspecting the objectives, population, participation, exposures, and outcomes of the particular investigations.

However, accepted markers of disease risk (such as HbA1c) may not necessarily be the most appropriate for assessing glycaemic exposure for a given research setting, depending on the objectives, population of interest, timings, costs, etc. (Fig. 1).

This paper presents an improved multi-objective population-based EO algorithm with polynomial mutation called IMOPEO-PLM to solve multi-objective optimization problems (MOPs).