medical students in saudi arabia

Statistical methods in medical laboratories for Healthcare Settings

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Price

115 SREstimated Price

SCHSSaudi Commission for Health Specialties

6 continuing medical education hours

ACA-20240003294

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6 CMEOnlineCertificateLectureEnglishالعربية
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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