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Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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Multivariable models in biobehavioral research.

Kenneth E Freedland1, Rebecca L Reese, Brian C Steinmeyer

  • 1Department of Psychiatry, Washington University School of Medicine, 4320 Forest Park Ave., Suite 301, St. Louis, Missouri 63108, USA. freedlak@bmc.wustl.edu

Psychosomatic Medicine
|February 17, 2009
PubMed
Summary
This summary is machine-generated.

Statistical reporting in psychosomatic and behavioral medicine needs improvement. Key issues include unclear methods, variable selection, and model validation, impacting research quality.

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Area of Science:

  • Psychosomatic Medicine
  • Behavioral Medicine
  • Biostatistics

Background:

  • Multivariable models are crucial in psychosomatic and behavioral medicine.
  • Contemporary statistical reporting practices require systematic evaluation.

Purpose of the Study:

  • To review current multivariable modeling and statistical reporting in psychosomatic and behavioral medicine.
  • To identify deficiencies in statistical practices within these fields.

Main Methods:

  • A random sample of 40 articles from psychosomatic/behavioral medicine journals (2005) was analyzed.
  • A comparison sample from general medical/psychiatric journals was used.
  • Practices were systematically coded, focusing on statistical reporting issues.

Main Results:

  • Significant deficiencies were found in a majority of articles.
  • Common issues included lack of clarity on statistical methods, post hoc variable selection, and inadequate model reporting (e.g., goodness of fit, validation).
  • Overfitting was a less common but notable problem.

Conclusions:

  • There is a clear need to enhance the use and reporting of multivariable models in these journals.
  • Adopting best statistical practices and guidelines is recommended to improve research quality.