Statistical methods in medical laboratories for Healthcare Settings
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Price
115 SREstimated Price
Saudi Commission for Health Specialties
6 continuing medical education hours
ACA-20240003294
6 CMEOnlineCertificateLectureEnglishالعربية
CERTIFICATE
Event content
Introduction
- Based on our survey, we found a gap in understanding advanced statistical methods, such as multivariate analysis.
- This can be addressed by providing targeted training sessions that focus on these advanced techniques.
- Skill Deficiencies:Example: Our survey revealed a lack of proficiency in using statistical software tools like SPSS and R.
- This can be resolved by offering hands-on workshops and tutorials to improve participants' skills in these tools.
- Practical Challenges:Example: Participants reported difficulties in interpreting complex statistical results and applying them to clinical scenarios.
- This challenge can be mitigated by incorporating case studies and practical exercises into the training program.
- Training Requirements:Example:
- There is a need for better guidance on ethical practices and effective communication of statistical results.
- This can be addressed by including modules on ethical considerations and best practices for reporting results.
Objectives
- Define key statistical terms and concepts used in biostatistics.
- Calculate measures of central tendency and dispersion for a given dataset.
- Identify different types of probability distributions relevant to medical laboratory data.
- Implement statistical process control methods to monitor laboratory procedures.
- Interpret control charts to identify variations in laboratory processes
- Critique statistical methods used in published medical research for ethical compliance.
- Determine the correct sampling methods and sample sizes for different types of studies.
- Analyze data using principal component analysis and factor analysis techniques
Outcomes
By the end of this guide, participants will:
- Note to Participants: Define key statistical terms and concepts. Calculate measures of central tendency and dispersion.
- Construct data visualization tools.
- Identify relevant probability distributions.
- Apply probability concepts to laboratory data.
- Implement statistical process control methods.
- Interpret control charts for process variations.
- Discuss ethical considerations in statistical analysis.
- Critique statistical methods in published research.
Target Audience
All professions Medicals
Trainers
Nabil Abdullah Y Osayri
Laboratory Science
Laboratory Quality Management