Medical Statistics For Beginners
This course will help you perform your own statistical analysis and further your understanding and interpretation of medical literature!
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Before we begin...
Part 1: Introduction
Part 2: Data cleaning in Excel
FREE PREVIEWExercise 1: Data cleaning in Excel
Part 3: Importing the data
Part 4: Types of data
FREE PREVIEWExercise 2: Types of data
FREE PREVIEWPart 5: Data coding in JMP
FREE PREVIEWPart 6: Data cleaning in JMP
Exercise 2: Importing data
Part 7: Importing and coding in JMP
Part 8: Formulas 1 | Age
FREE PREVIEWPart 9: Formulas 2 | BMI
Exercise 4: Formulas
Part 10: Formulas 3 | Cholesterol
Part 11: Formulas 4 | Subtract and divide
FREE PREVIEWExercise 4: Formulas | calculating BMI
Part 12: Formulas 5 | calculating BMI
Part 13: Formulas 6 | Dates
Part 14: Formulas 7 | Dates
Part 15: Formulas 8 | Missing values
Part 16: Formulas 9 | Combining groups
FREE PREVIEWExercise 6: Formulas
Exercise 6 Solutions
Part 17: Value labeling, ordering, and recoding
FREE PREVIEWPart 18: Moving columns | Sorting values
Part 19: Joining tables | Adding columns and rows
Exercise 7: Adding rows and columns
Exercise 7 Solutions JMP
Part 20: Save and export
Exercise 8: Types of data
Feedback
Part 1: Descriptive analysis of categorical data
Exercise 1: Descriptive analysis of categorical data
Exercise 1 Solutions | Descriptive analysis of categorical data
FREE PREVIEWPart 2: Categorical data | Tables
Part 3: Categorical data | Confidence interval
FREE PREVIEWPart 4: Introduction to descriptive analysis of numerical data
Part 5: Mean vs. Median
Exercise 2: Descriptive analysis of numerical data
Exercise 2 Solutions | Descriptive analysis of numerical data
Part 6: Numerical data | Tables
Exercise 3: Descriptive analysis quiz
Part 7: Numerical data | Confidence interval
Part 8: Sub-analysis
Part 9: Saving and exporting the analysis
Part 10: Graphs | Bar graphs
FREE PREVIEWPart 11: Graphs | Histogram and box plot
FREE PREVIEWExercise 4: Graphs
Part 12: Descriptive analysis from published studies
FREE PREVIEWExercise 5: Descriptive analysis from published studies
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Part 1: Introduction to hypothesis testing
Part 2: 2x2 Table
Part 3: Chi-squared and Fisher’s exact test
FREE PREVIEWExercise 1: Chi-squared and Fisher’s exact test
FREE PREVIEWExercise 1 Solutions | Chi-squared and Fisher’s exact test
FREE PREVIEWPart 4: Relative risk and odds ratio
Exercise 2: Relative risk and odds ratio
Exercise 3: Chi-squared and Fisher’s exact test
Exercise 3 Solutions | Chi-squared and Fisher’s exact test
Part 5: R by C table
Exercise 4: Chi-squared and Fisher’s exact test
Part 6: Subgroup analysis and frequency tables
Part 7: Statistical errors
Exercise 5: Null and alternative hypothesis
Part 8: Tables
Part 9: Literature on inference for categorical data
FREE PREVIEWExercise 6: Interpreting inference for categorical data from the literature
FREE PREVIEWFeedback
Part 1: T-test
Part 2: T-test | Variance
Part 3: T-test | Normal distribution | Mann–Whitney U test
Part 4: P-value interpretation
Exercise 1: Triglycerides
Exercise 1 Solutions: Triglycerides
Exercise 2: HDL
Exercise 2 Solutions: HDL
Exercise 3: % ideal body weight
Exercise 3 Solutions: % ideal body weight
Part 5: Tables
Quiz 1: T-test | Mann–Whitney U test
Part 6: one-way ANOVA | Kruskal-Wallis test
Part 7: ANOVA | Multiple comparisons
Exercise 4: ANOVA | Kruskal-Wallis test
Exercise 4 Solutions: ANOVA | Kruskal-Wallis test
Quiz 2: ANOVA | Kruskal-Wallis test
Part 8: Paired t-test and Wilcoxon signed-rank test
Quiz 3: Choosing the right test
Part 9: Literature on inference for numerical data
Quiz 4: Literature on inference for numerical data
Quiz 5: Choosing the right test
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Wanna learn about Clinical Research?
Part 1: Power analysis for numerical variables | JMP
Part 2: Power analysis for numerical variables | Russ Length applet
Part 3: Power analysis for categorical variables | Russ Length applet
Quiz
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Part 1: Introduction
Part 2: Data cleaning in Excel
FREE PREVIEWExercise 1: Data cleaning in Excel
Part 3: Importing the data 1
Part 4: Importing the data 2
Part 5: Types of data
Exercise 2: Types of data
Part 6: Data coding in SPSS
FREE PREVIEWExercise 3: Importing data
Part 6: Formulas 1 | Recoding heart history
FREE PREVIEWPart 7: Formulas 2 | Age
FREE PREVIEWExercise 4: Formulas
Part 8: Formulas 3 | BMI
Exercise 5: Formulas
Part 9: Formulas 4 | Cholesterol
Part 10: Formulas 5 | Missing values
Part 11: Formulas 6 | Computing and combining groups
Part 12: Formulas 7 | Dates
Exercise 6: Formulas
Exercise 6 Solutions
Part 13: Joining tables | Adding rows
Part 14: Joining tables | Adding columns
Part 15: Sorting values | Save and export
Exercise 7: Adding rows and columns
Exercise 7 Solutions SPSS
Exercise 8: Types of data
Feedback
Part 1: Introduction
Part 2: Descriptive analysis of categorical data
FREE PREVIEWPart 3: Descriptive analysis of numerical data | Tests of normality
Part 4: Descriptive analysis of numerical data by groups
Part 5: Mean vs. Median
Exercise 1: Descriptive analysis of numerical data
Exercise 1 Solutions: Descriptive analysis of numerical data
Exercise 2: Descriptive analysis of numerical data
Exercise 2 Solutions: Descriptive analysis of numerical data
Exercise 3: Descriptive analysis quiz
Part 6: Numerical data | Confidence interval
Part 7: Tables
Part 8: Graphs | Bar graphs
FREE PREVIEWPart 9: Graphs | Histogram
FREE PREVIEWPart 9: Graphs | Box plot
Exercise 4: Graphs
Part 10: Descriptive analysis from published studies
Exercise 5: Descriptive analysis from published studies
Feedback
Wanna learn about Systematic Reviews?
Part 1: Introduction to hypothesis testing
Part 2: Chi-squared test
FREE PREVIEWPart 3: Relative risk and odds ratio
Exercise 1: Relative risk and odds ratio
Part 4: Fisher’s exact test
FREE PREVIEWPart 5: R by C table
Exercise 2: Chi-squared and Fisher’s exact test
FREE PREVIEWExercise 3: Chi-squared and Fisher’s exact test
FREE PREVIEWExercise 3 Solutions | Chi-squared and Fisher’s exact test
FREE PREVIEWExercise 4: Chi-squared and Fisher’s exact test
Exercise 4 Solutions | Chi-squared and Fisher’s exact test | Tables
Part 6: Statistical errors
Exercise 5: Null and alternative hypothesis
Part 7: Literature on inference for categorical data
Exercise 6: Interpreting inference for categorical data from the literature
Feedback
Part 1: Introduction
Part 2: T-test | Mann–Whitney U test
Part 3: Mean difference and 95% CI
Exercise 1: HDL
Exercise 1 Solutions: HDL | Tables
Quiz 1: T-test | Mann–Whitney U test
Part 4: one-way ANOVA | Kruskal-Wallis test
Part 5: P-value interpretation and multiple comparisons
Exercise 2: ANOVA | Kruskal-Wallis test
Exercise 2 Solutions: ANOVA | Kruskal-Wallis test
Quiz 2: ANOVA | Kruskal-Wallis test
Part 6: Paired t-test and Wilcoxon signed-rank test
Quiz 3: Choosing the right test
Part 7: Literature on inference for numerical data
Quiz 4: Literature on inference for numerical data
Quiz 5: Choosing the right test
Feedback
Wanna learn about Clinical Research?
Part 1: Power analysis for numerical variables | SPSS
Part 2: Power analysis for numerical variables | Russ Length applet
Part 3: Power analysis for categorical variables | Russ Length applet
Part 4: Power analysis for categorical variables | SPSS
Quiz
Feedback
Course REVIEW
Next Steps
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Regression Analysis
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CV Template #2
Certificate
My name is Malke Asaad and I am a plastic surgery resident at the University of Pittsburgh. After graduating from Aleppo medical school in Syria, I pursued 3 years of clinical research at two world-renowned institutions – The Mayo Clinic in Rochester, Minnesota, and MD Anderson Cancer Center in Houston, Texas.
During three years of research, I worked with leaders of the field and published over 100 publications and participated in over 80 presentations. Early on, I found how statistical knowledge can exponentially improve your understanding of research and your productivity. That’s why I was very keen on learning statistical analysis through official courses, working with phenomenal statisticians, and working on analyzing my own research studies.
Check my PubMed Publications here.
Check my Google Scholar account here.
The regression analysis part of this course will be presented by Dr. Francisco J. Barrera.
Dr. Barrera is a medical graduate from Universidad Autónoma de Nuevo León (UANL), Monterrey, Mexico and is currently a Master of Science in Epidemiology Candidate at the Harvard’s TH Chan School of Public Health.
Dr. Barrera received research training at the Mayo Clinic in Rochester, Minnesota and at the National Institutes of Health in Bethesda, Maryland.
Dr. Barrera has published over 25 research articles in peer-reviewed journals, for which he conducted the statistical analysis. Moreover, Dr. Barrera was part of the statistical advising group and gave over 300 hours of statistical consulting and over 20 courses to undergraduate and postgraduate students at the university hospital and medical school.
Check Dr. Barrera’s PubMed Publications here.
Check Dr. Barrera’s Google Scholar account here.
This course is extremely useful and extraordinary Dr Malke focuses on three main things 1- Explaining the concepts 2- applying the concepts on the stat...
Read MoreThis course is extremely useful and extraordinary Dr Malke focuses on three main things 1- Explaining the concepts 2- applying the concepts on the statistical programs (both spss and jmp separately) 3-and the most beautiful part was the exercises and quizzes which helped me to perform a statistical analysis by my self on both spss and jmp by myself at the end of the course Highly recommended ❤💥👌
Read Lesswhat a tremendous amount of new knowledge I got during this course, I found myself knowing nothing before it. Extreme worm thanks Dr. Asaad.
what a tremendous amount of new knowledge I got during this course, I found myself knowing nothing before it. Extreme worm thanks Dr. Asaad.
Read LessMedical professionals, undergraduate and postgraduate students looking to learn how to perform statistical analysis for medical research studies. The course is also helpful for those looking to understand the basics of data analysis even if they are not planning to perform the analysis themselves. This understanding would help further your understanding of research articles and better interpret the findings in medical literature.
If you are already advanced in your statistical knowledge, you can check the course curriculum to bsee if the course content would offer you what you are looking for. You can also participate in the course and ask for a refund if you did not find the course to meet your expectations
Within 24 hours.
Yes, you can click HERE to subscribe to our list and get the free previews of our courses.
SPSS and JMP. Access to video lectures of both programs is available with all subscriptions.
This course is focused solely on how to perform statistical analysis and will NOT cover how to conduct research studies or how to write manuscripts. However, that part is covered in detail in my other course: The Comprehensive Research Course: From Idea to Publication
You can register for the research course here.
You can also check out the bundle for the statistics course and the research course under the course plans.
Yes. You can check the bundle for both the statistics course and the research course under the course plans. If you already registered for the research course, you should have received a coupon for a discount on the statistics course.
Yes. You can schedule statistical tutoring (for USMLE and non-USMLE applicants) using this page.
Yes. We offer tutoring on how to design a research study, how to write a paper, how to find a research position, how to choose the right research position, how to be productive, and all other aspects related to research. You can check the details of our research tutoring on this page.
If you feel that the course is not helping you, we offer a 100% money back guarantee on all our courses.
Refund Policy: We will give you a full refund if you cancel within 3 days / 72 hours of receiving course access and have completed less than 20% of the course.
Meta-analysis, meta-regression, advanced regression concepts, and propensity score analysis are NOT covered in this course. However, we have a detailed course on systematic reviews and meta-analysis that you can check outhere . You can check what is covered in this course under the course curriculum above. For any inquiries about whether a topic is covered or not, feel free to reach out to us here.
Yes. Certificates are available for free for all plans except the one-month subscription. To get the certificate, you should have completed the whole course and have >75% on the course quizzes. This certificate is not coming from an academic institution and serves just to confirm course completion.
Yes. You will have access to several quizzes, exercises, and data samples to help you better understand the course curriculum.
Yes. We host monthly webinars to answer students’ questions and discuss statistical analysis concepts from the course.
Yes. This course is designed to help you learn how to perform statistical analysis independently even if you do not have a good background in statistics.
Yes. You can extend your subscription by buying a new subscription from the same course page for the desired time period.
The purpose of this course is to give you the skills you need to perform statistical analysis independently. However, we do not sponsor or support any publications as part of this course as that would require a team and mentorship. Moreover, no one can guarantee that a paper will be published even if the research work was done and the paper was submitted to a journal. Adding authors to papers without significant contributions to the research project is against the ICMJE guidelines. Be careful with courses that offer you guaranteed publications.
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Acquiring unique skills is key to professional development and making yourself stand out from the crowd. This course will help you perform your own statistical analysis and further your understanding and interpretation of medical literature.
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All Courses
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