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The need for collaboration between clinicians and statisticians: some experience and examples
Y B Cheung1, S B Tan, K S Khoo
1Clinical Trials and Epidemiological Sciences, National Cancer Centre, 11 Hospital Drive, Singapore 169610. ctecyb@nccs.com.sg
Annals of the Academy of Medicine, Singapore
|October 18, 2001
Summary
Effective collaboration between clinicians and statisticians is crucial for robust medical research. Improved communication and integrated statistical input throughout the research process enhance study quality and outcomes.
Area of Science:
- Medical Research
- Biostatistics
- Clinical Trials
Background:
- Poor communication and collaboration between clinicians and statisticians are common.
- Both professions often underestimate the value of a synergistic working relationship.
- This can lead to significant challenges in medical research endeavors.
Purpose of the Study:
- To highlight the critical importance of collaboration between clinicians and statisticians.
- To illustrate common problems arising from inadequate mutual support.
- To advocate for a more integrated and supportive approach to medical research.
Main Methods:
- Utilizing practical examples from authors' experience in diverse medical research fields.
- Illustrating issues related to statistical software, regression analysis, and result interpretation.
- Drawing on real-world scenarios to demonstrate potential pitfalls.
Main Results:
- Superficial collaboration results in serious problems and suboptimal research practices.
- These issues may not be immediately apparent, masking underlying deficiencies.
- Barriers to effective communication and collaboration are identified and discussed.
Conclusions:
- Robust statistical practice is essential for medical research success.
- Clinical insight is vital for developing and applying statistical strategies effectively.
- Continuous statistical integration and enhanced communication are necessary for optimal research outcomes.