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Related Concept Videos

Cross-Sectional Research01:50

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In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Profile leveling and cross-sections are surveying methods used to determine and document terrain elevations for infrastructure projects such as highways, railroads, canals, and pipelines. These methods provide data for earthwork planning and alignment of proposed routes.  Profile leveling involves measuring elevations along a fixed line to create a vertical terrain profile. A surveyor sets up a leveling instrument at the benchmark (BM) and records a backsight (BS) to determine the...
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The cross-sectional anatomy of the spinal cord offers a detailed view of its complex structure and function within the central nervous system. At the core of the spinal cord lies the gray matter, characterized by its butterfly or "H"-shaped appearance in cross-section. This central region is enveloped by white matter, with the overall structure divided into symmetrical halves by the dorsal median sulcus and the ventral median fissure.
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The topic explores the practical aspects of adjusting steel reinforcements within a concrete beam section to meet specific design requirements. When designing a reinforced concrete beam, it is essential to distribute the steel reinforcements properly to ensure structural integrity and efficiency. The example provided details a scenario where a beam requires a total steel cross-section of 4 square inches. The engineer identifies that the available steel bars have a nominal diameter of 1.693...
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Cross-sectional versus longitudinal designs for function estimation, with an application to cerebral cortex

Philip T Reiss1

  • 1University of Haifa, Haifa, Israel.

Statistics in Medicine
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This summary is machine-generated.

This study compares cross-sectional and longitudinal data for estimating human cerebral cortex growth trajectories. Longitudinal data may show higher variance but offers greater sensitivity to subtle developmental features.

Keywords:
accelerated longitudinal designcortical thicknessdesign effecteffective degrees of freedompenalized splines

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Area of Science:

  • Neuroscience
  • Biostatistics
  • Developmental Biology

Background:

  • Estimating developmental trajectories is crucial for understanding brain growth.
  • Cross-sectional and longitudinal data offer different perspectives on growth estimation.

Purpose of the Study:

  • To compare the relative efficiencies of cross-sectional and longitudinal data for estimating mean growth trajectories.
  • To analyze parametric and nonparametric function estimation methods in developmental studies.

Main Methods:

  • Defined relative efficiencies to compare function estimates based on aggregate variance.
  • Generalized the classical design effect for scalar estimation.
  • Investigated nonparametric function estimation using effective degrees of freedom.

Main Results:

  • Relative efficiencies were bounded by the classical design effect in certain cases.
  • Longitudinal fits may exhibit higher aggregate variance but possess higher effective degrees of freedom.
  • Higher effective degrees of freedom in longitudinal data indicate greater sensitivity to subtle growth features.

Conclusions:

  • Longitudinal data provides enhanced sensitivity for capturing subtle features in human cerebral cortex development.
  • The choice between cross-sectional and longitudinal data depends on the specific goals of growth trajectory estimation.