Related Experiment Video
Updated: Jul 13, 2026

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
Clinician attitudes toward biostatistics
Colin P West1, Robert D Ficalora
1Division of General Internal Medicine, Mayo Clinic, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA. west.colin@mayo.edu
Clinicians value biostatistics for evidence-based medicine (EBM) but feel their training is inadequate. Most believe improved statistical knowledge would benefit their careers, despite lacking confidence in applying statistical methods.
Area of Science:
- Medical Education
- Biostatistics
- Evidence-Based Medicine
Background:
- Biostatistics is crucial for evidence-based medicine (EBM) and clinical practice.
- Understanding clinician attitudes toward biostatistics is essential for improving medical training.
Purpose of the Study:
- To assess clinician attitudes toward biostatistics at an academic medical center.
- Evaluate the perceived adequacy of biostatistics training among medical professionals.
Main Methods:
- A cross-sectional survey was conducted among medical students, residents, and faculty.
- Data collected from 301 respondents at Mayo Clinic College of Medicine in April 2005.
Main Results:
- 87.3% believed better biostatistics understanding would aid their careers, yet only 17.6% felt their training was adequate.
- Confidence in identifying correct statistical methods (23.3%), designing research (28.0%), and conducting analyses (14.6%) was low.
- Higher statistical education and research experience correlated with greater self-reported skills (P < .001).
Conclusions:
- Clinicians recognize the importance of biostatistics for EBM but perceive their training as insufficient.
- There is a significant gap between the perceived value of biostatistics and the confidence in applying statistical skills among clinicians.
Related Concept Videos
Overview of Biostatistics in Health Sciences
Biostatistics: Overview
Discrete variables are...
Statistical Software for Data Analysis and Clinical Trials
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance, comparing...
Statgraphics