cross-sectional

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Related to Cross-sectional data: Longitudinal data

cross-sec·tion·al

(kros'sek'shŭn-ăl),
1. In histology, a sectioning of a tissue or organ perpendicular to its longitudinal axis.
2. Relating to planar sections of an anatomic or other structure.
See: synchronic.

cross-sec·tion·al

(kraws sekshŭn-ăl)
Relating to planar sections of an anatomic or other structure.
References in periodicals archive ?
Stochastic Frontier Models with Cross-sectional Data
First, one group contains papers that have used single year, cross-sectional data from one or two countries.
This was confirmed in the cross-sectional data, which also showed that AGC Sensitivity, Minimum Duration, and MapLaw were changed in 11-14% of the cases and by many centers (36-79%).
These results highlight the gradual shifts among age groups over time and the influence of the time of sampling relative to the emission time trend, which is crucial to understanding the relation between age and PCB body burden based on cross-sectional data collected at different points in time.
Using a cross-sectional data from 74 countries we find a positive and significant relationship between economic performance and freedom and the number of courses within a country.
The biennial national YRBS, a component of CDC's Youth Risk Behavior Surveillance System, used independent, three-stage cluster samples for the 1991-2009 surveys to obtain cross-sectional data representative of public and private school students in grades 9-12 in all 50 states and the District of Columbia.
This study used cross-sectional data from a larger outcome-monitoring project to describe the training received by foster (including kinship) carers in Ontario, Canada, and explore the possible links between such training and selected foster child outcomes.
Cross-sectional data analysis revealed 20% of the variance in shuttle-run can be attributed to health attitudes.
The cross-sectional data for the first LP performed are shown in Table I.
Furthermore, the limitations and appropriate application of the NHANES and other cross-sectional data sets in the area of exposure-response evaluation must be clearly recognized:
They explain models for cross-sectional data (including parametric regression models and semiparameter models), univariate U-statistics (including associated models and inference for U-statistics), models for clustered data (including parametric models, distribution-free models and solutions for missing data), multivariate U-statistics (including cross-sectional study designs) and functional response models (including model estimation).
So a particular strength of this study was its prospective design, "which overcomes a variety of limitations common to cross-sectional data," Ms.