New course
Introduction to Medical Statistics with Jamovi
Forget everything you know about biostatistics training! We're excited to introduce you to our comprehensive, practical, and easy-to-follow biostatistics course for healthcare professionals.
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Forget everything you know about biostatistics training!
We’re excited to introduce you to our comprehensive, practical, and easy-to-follow biostatistics course for healthcare professionals. Say goodbye to complicated jargon like “SPSS” and hello to a hands-on, user-friendly learning experience.
Our course features:
- Akamedika Flowcharts & Algorithms: Simplify complex concepts with clear visual guides.
- How-To Videos: Step-by-step tutorials for real-world applications.
- Practical Sessions: Hands-on practice to reinforce your learning.
- Jamovi Software: A modern, intuitive tool for data analysis.
- Akamedika Statistics Calculator: Perform calculations with ease.
- Interactive Lessons: Dynamically engage with the material.
Conquer your biostatistics fears and start performing your analyses with confidence.
Start by exploring the course through the links and sample lessons below.
Introduction
Resources
Descriptive Statistics
Introduction to Jamovi
Inferential Statistics
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12
Comparing categorical variables (2 groups)- Chi-squared test
- Fisher’s Exact test
- McNemar test
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13
Comparing numerical variables (2 groups)
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14
Diagnostic tests and Utility parameters
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15
Correlational Analysis
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16
Risk, Odds, NNT and NNH
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17
Comparing numerical variables (3 and more groups)
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18
Agreement and Reliability Analysis
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19
Bland-Altman Analysis
🎯 What Will You Be Able to Do Upon Completing This Course?
Upon completing this course, you will be able to:
- Prepare datasets correctly: Organize and manage your data effectively for analysis.
- Select appropriate variables and measures: Identify the types of variables and choose the correct central tendency and dispersion measures for reporting.
- Conduct, interpret, and present descriptive statistical analyses: Perform descriptive statistics, read and interpret results, and incorporate them into tables and text for publications.
- Choose and create appropriate graphs: Select and prepare the correct graphical representations for different variables.
- Understand and explain P-values and 95% confidence intervals.
Additionally, you will be able to conduct the following tests and inferential statistics:
- Comparison of continuous variables between two independent groups: T-test, Levene's Test, Mann-Whitney U test.
- Comparison of continuous variables between two dependent groups: Paired T-Test, Wilcoxon test, Sign test.
- Comparison of categorical variables between two groups: Chi-Square test, Fisher’s Exact test.
- Calculation of diagnostic accuracy measures: Accuracy, Sensitivity, Specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), Positive Likelihood Ratio (+LR), Negative Likelihood Ratio (-LR), and ROC analysis.
- Calculation of exposure and risk measures: Relative Risk (Risk Ratio), Odds Ratio, Absolute Risk Difference (ARD), Attributable Risk Index (ARI), Number Needed to Treat (NNT), Number Needed to Harm (NNH).
- Evaluation of correlation coefficients: Spearman and Pearson tests.
- Prepare datasets correctly: Organize and manage your data effectively for analysis.
- Select appropriate variables and measures: Identify the types of variables and choose the correct central tendency and dispersion measures for reporting.
- Conduct, interpret, and present descriptive statistical analyses: Perform descriptive statistics, read and interpret results, and incorporate them into tables and text for publications.
- Choose and create appropriate graphs: Select and prepare the correct graphical representations for different variables.
- Understand and explain P-values and 95% confidence intervals.
Additionally, you will be able to conduct the following tests and inferential statistics:
- Comparison of continuous variables between two independent groups: T-test, Levene's Test, Mann-Whitney U test.
- Comparison of continuous variables between two dependent groups: Paired T-Test, Wilcoxon test, Sign test.
- Comparison of categorical variables between two groups: Chi-Square test, Fisher’s Exact test.
- Calculation of diagnostic accuracy measures: Accuracy, Sensitivity, Specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), Positive Likelihood Ratio (+LR), Negative Likelihood Ratio (-LR), and ROC analysis.
- Calculation of exposure and risk measures: Relative Risk (Risk Ratio), Odds Ratio, Absolute Risk Difference (ARD), Attributable Risk Index (ARI), Number Needed to Treat (NNT), Number Needed to Harm (NNH).
- Evaluation of correlation coefficients: Spearman and Pearson tests.
🩺 Who Is This Course For?
This course is ideal for:
- Residents and specialist physicians from all medical fields who want to learn or refresh their basic statistics knowledge.
- Academics in other health sciences looking to enhance their biostatistics skills.
- Medical students and medical managers interested in understanding and applying statistical concepts in their work.
- Residents and specialist physicians from all medical fields who want to learn or refresh their basic statistics knowledge.
- Academics in other health sciences looking to enhance their biostatistics skills.
- Medical students and medical managers interested in understanding and applying statistical concepts in their work.
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Course available for 120 days
Course details
Duration
20 hrs
Lectures
22
Video
10 hrs
Level
Beginner
Certificate of Completion Available
Access all course content for 120 days
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