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Related Concept Videos

Bone Structure01:55

Bone Structure

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Within the skeletal system, the structure of a bone, or osseous tissue, can be exemplified in a long bone, like the femur, where there are two types of osseous tissue: cortical and cancellous.
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Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.
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Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
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Author Spotlight: Enhancing Accuracy and Reproducibility in Whole Bone Bending Tests
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Common methodological issues and suggested solutions in bone research.

Tuan V Nguyen1

  • 1Garvan Institute of Medical Research, St Vincent's Clinical School, UNSW Medicine, UNSW Sydney, School of Biomedical Engineering, University of Technology Sydney, 384 Victoria Street, Darlinghurst, NSW, 2010, Australia.

Osteoporosis and Sarcopenia
|January 11, 2021
PubMed
Summary
This summary is machine-generated.

This study addresses common statistical challenges in bone research, offering solutions to improve the reliability of clinical and epidemiological findings. Applying these statistical methods enhances the scientific quality of bone studies.

Keywords:
Bayesian inferenceCollider biasConfidence intervalP-valueStatistical methods

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Area of Science:

  • Multidisciplinary bone research
  • Statistical inference in biomedical science

Background:

  • Bone research integrates cellular, clinical, and epidemiological studies.
  • Statistical concepts are fundamental for valid inference in all bone research domains.

Purpose of the Study:

  • To identify and propose solutions for common statistical issues in bone research.
  • To enhance the scientific rigor of clinical and epidemiological bone investigations.

Main Methods:

  • Discussion of prevalent statistical challenges.
  • Presentation of suggested solutions and best practices.
  • Focus on clinical and epidemiological bone research contexts.

Main Results:

  • Identified issues include sample size estimation, biases, confounders, longitudinal data analysis, data categorization, variable selection, overfitting, P-values, false positives, confidence intervals, and Bayesian inference.
  • Proposed solutions aim to mitigate these statistical challenges.

Conclusions:

  • Adoption of suggested statistical measures is expected to improve the overall scientific quality of bone research.
  • Enhanced statistical application is crucial for reliable bone research outcomes.