Examples of 'cross-sectional studies' in a sentence
Meaning of "cross-sectional studies"
Cross-sectional studies are a type of research method commonly used in social sciences and statistics. These studies aim to gather data by observing a sample of subjects or units from different categories or groups at a single point in time. The goal is to assess and compare the characteristics, behaviors, or variables of interest across the different groups
How to use "cross-sectional studies" in a sentence
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cross-sectional studies
A limitation of cross-sectional studies is reverse causality.
This type of design is common in cross-sectional studies.
Many cross-sectional studies are exploratory or descriptive in purpose.
The experiment consisted of two cross-sectional studies.
Cross-sectional studies involve data collected at a defined time.
Fewer subjects needed than cross-sectional studies.
Cross-sectional studies look at all data at the same time.
Those are questions cross-sectional studies can not answer.
Correlates of physical activity are often studied in cross-sectional studies.
Cross-sectional studies provide a snapshot of participants at a particular point in time.
We recruited two cohorts of patients for cross-sectional studies.
Cross-sectional studies look at all things at the same time.
Responses of a similar magnitude were seen in two cross-sectional studies.
Four of eight cross-sectional studies had significant positive results.
Note that there are some limitations of cross-sectional studies.
See also
Descriptive cross-sectional studies estimate the prevalence or occurrence of a given event.
We determined the sample for dichotomous variables in cross-sectional studies.
Cross-sectional studies with complex sampling design are widely used in epidemiology.
Six articles were classified as longitudinal, and four as cross-sectional studies.
Cross-sectional studies as this are advantageous regarding quickness and low cost.
Our results are similar to those observed in previous cross-sectional studies.
Cross-sectional studies have found higher prevalence of depressive symptoms in smokers.
Discussions related to work hours are typically driven by cross-sectional studies.
Cross-sectional studies have limitations with respect to the time flow.
This study has the limitations that are inherent to cross-sectional studies.
In practice, cross-sectional studies will include an element of both types of design.
As well as the issue of the selective survival bias present in cross-sectional studies.
Cross-sectional studies are most useful for public health planning purposes.
However, it is emphasized that the difficulty of cross-sectional studies is to establish causal relationships.
Cross-sectional studies are known to be less capable of demonstrating associations with rare outcomes.
This hypothesis suggests the possibility of reverse cause, inherent in cross-sectional studies.
Cross-sectional studies as the one performed here do not provide causality relations.
One limitation of this study is the prevalence bias, typical of cross-sectional studies.
Two cross-sectional studies with study population comprised of school children were conducted.
In data interpretation, the possibility of a memory bias in cross-sectional studies should be considered.
Cross-sectional studies produce a snapshot of the population exposure or sample the effect studied.
From the total, four were longitudinal studies and nine were cross-sectional studies.
The authors observed a predominance of cross-sectional studies with an emphasis on age and performance.
The research is based on the results of both longitudinal and cross-sectional studies.
Some characteristic limitations of cross-sectional studies can be highlighted in relation to this study 's results.
We will finally discuss issues related to the statistical analysis of cross-sectional studies.
Our data presents the usual drawbacks of cross-sectional studies limiting causal inferences.
Two cross-sectional studies were unable to establish a significant correlation between depression and tinnitus.
The prevalence of self-medication was determined from cross-sectional studies applied in population samples.
Cross-sectional studies have suggested that valproate treatment may be associated with hyperinsulinemia.
The impact of deprivation has also been evaluated in diabetic patients in three cross-sectional studies.
Several cross-sectional studies have shown a decline in alcohol intake with increasing age.
This study presents the limitations inherent to cross-sectional studies conducted using secondary data.
Cross-sectional studies do not allow one to assess temporality between exposure and outcome.
Two tables were made, one for cross-sectional studies and another for cohort studies.
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