Avoiding 12 Common Statistical Errors in Clinical Research
Duration: 60 Minutes
The poor quality of statistical reporting in the medical literature is long-standing, widespread, potentially serious, and not well known. Evidence-based medicine is literature-based medicine, so poorly reported research directly affects the quality of medical care and patient outcomes. In this webinar, participants will review evidence of this poor quality and learn to identify 12 common statistical errors in articles reporting clinical research. These errors are related to descriptive statistics, estimates and precision of estimates, measures of risk, regression analyses, and hypothesis testing (P values) and will introduce participants to the process of "critical appraisal" of research.
Objectives of the Presentation
Why Should you Attend
- Be able to describe the nature and extent of poor statistical reporting in the clinical literature
- Be able to list at least 2 common errors in reporting numbers
- Be able to list at least 2 common errors in reporting descriptive statistics
- Be able to list at least 2 common errors in reporting regression analyses
- Be able to list at least 2 common errors in reporting risk
- Be able to list at least 2 common errors in reporting P values
Anyone who reads the medical literature needs to be able to evaluate the quality of the research they read. This webinar introduces participants to the topic of "critical appraisal" in medical research, or the ability to evaluate research designs and activities and statistical methods and analysis commonly used in medical research.
Who can Benefit
- Regulatory and Medical Writers
- Medical Schools and Medical Centers
- Publishers of Health And Medical Publications
- Professional Societies (Of Doctors, Nurses, Allied Health Professionals)
- Disease-Focused Organizations
- Public Health Departments
- Health Journalists
Few healthcare providers are knowledgeable about statistics, despite the importance of statistical analyses in clinical research. Further, most courses on statistics are taught by statisticians with the goal of teaching students how to calculate statistics, not necessarily how to interpret them in the context of the clinical literature, which is what healthcare providers need to know.