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The [course_title] course teaches the basic statistics terms with a special focus on the R statistic software package.
In the course, you will learn the components of biostatistical methods used in both omics and population health research. The course teaches you the common statistical terms and definitions, and statistical theory so that you can handle the challenges of biomedical big data.
Upon completion, you will gain a strong command over R software.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.
Having an Official Edukite Certification is a great way to celebrate and share your success. You can:
- Add the certificate to your CV or resume and brighten up your career
- Show it to prove your success
Course Credit: Osaka University
Course Curriculum
| Module: 1 | |||
| Weekly Handouts,WEEK 1 | 00:15:00 | ||
| Weekly Handouts,WEEK 2 | 00:05:00 | ||
| Weekly Handouts,WEEK 3 | 00:10:00 | ||
| Weekly Handouts,WEEK 4 | 00:05:00 | ||
| Weekly Handouts,WEEK 5 | 00:15:00 | ||
| Weekly Handouts,WEEK 6 | 00:05:00 | ||
| Weekly Handouts,WEEK 7 | 00:10:00 | ||
| Weekly Handouts,WEEK 8 | 00:10:00 | ||
| Weekly Handouts,WEEK 9 | 00:10:00 | ||
| Weekly Datasets,WEEK 6 | 00:05:00 | ||
| Introduction | 00:05:00 | ||
| Module: 2 | |||
| Video 1 | 00:01:00 | ||
| Video 2 | 00:03:00 | ||
| Video 3 | 00:03:00 | ||
| Video 4 | 00:04:00 | ||
| Video 5 | 00:05:00 | ||
| Video 6 | 00:03:00 | ||
| Video 7 | 00:02:00 | ||
| Video 8 | 00:02:00 | ||
| Module: 3 | |||
| Weekly Handout (W1) | 00:10:00 | ||
| Video 1: Descriptive Statistics | 00:03:00 | ||
| Video 2: Standard Deviation | 00:06:00 | ||
| Video 3: How to Use Mean and Standard Deviation(1) | 00:07:00 | ||
| Video 4: How to Use Mean and Standard Deviation(2) | 00:03:00 | ||
| Video 5: P-Value and Hypothesis Testing | 00:05:00 | ||
| Video 6: What is a Scientific Evidence? | 00:05:00 | ||
| Video 7: Disproving Hypothesis | 00:10:00 | ||
| Video 8: Pitfalls of P-Value | 00:09:00 | ||
| Video 9: Confidence Interval (1) | 00:05:00 | ||
| Video 10: Confidence Interval (2) | 00:06:00 | ||
| Video11: Confidence Interval (3) | 00:03:00 | ||
| Video 12: Statistical Graphs | 00:08:00 | ||
| Video 13: Summary of This Lecture | 00:03:00 | ||
| Module: 4 | |||
| Weekly Handouts (W2) | 00:05:00 | ||
| Video 1: Introduction of Week 2 | 00:05:00 | ||
| Video 2: PECO | 00:04:00 | ||
| Video 3: Classification of Clinical Studies | 00:07:00 | ||
| Video 4: 3 Types of Observational Studies | 00:04:00 | ||
| Video 5: Sampling Method | 00:04:00 | ||
| Video 6: Cohort Study | 00:06:00 | ||
| Video 7: Data collection and Timing Method | 00:06:00 | ||
| Video 8: Identify Study Design | 00:05:00 | ||
| Video 9: Cross Sectional | 00:04:00 | ||
| Video 10: Advantages of Cohort Studies | 00:05:00 | ||
| Video 11: Disadvantages of Cohort Studies | 00:03:00 | ||
| Video 12: Advantages of Cohort Studies (additional) | 00:02:00 | ||
| Video 13: Advantages of Case Control Study | 00:05:00 | ||
| Video 14: Disadvantages of Case Control Study | 00:06:00 | ||
| Module: 5 | |||
| Weekly Handouts (W3) | 00:10:00 | ||
| Weekly Handouts (W3) 1 | 00:05:00 | ||
| Video 1: Introduction of Week 3 | 00:02:00 | ||
| Video 2: Real Life Example | 00:05:00 | ||
| Video 3: Quote by famous biostatistician | 00:02:00 | ||
| Video 4: Factors to be considered for test selection | 00:03:00 | ||
| Video 5: Univariate | 00:02:00 | ||
| Video 6: Confounding (1) | 00:06:00 | ||
| Video 7: Confounding (2) | 00:05:00 | ||
| Video 8: Comparing Difference | 00:02:00 | ||
| Video 9: Paired or Independent groups? | 00:03:00 | ||
| Video 10: Outcome Type | 00:04:00 | ||
| Video 11: Normality | 00:05:00 | ||
| Video 12: Groups | 00:02:00 | ||
| Video 13: Sample Size | 00:04:00 | ||
| Video 14: Regression | 00:03:00 | ||
| Video 15: Summary | 00:01:00 | ||
| Video 16: Example #1 | 00:01:00 | ||
| Video 17: Example #1 (answers) | 00:03:00 | ||
| Video 18: Example #2 and #3 | 00:01:00 | ||
| Video 19: Example #3 (answers) | 00:03:00 | ||
| Video 20: Example #4 and #5 | 00:03:00 | ||
| Module: 6 | |||
| Weekly Handouts (W4) | 00:15:00 | ||
| Weekly Handouts (W4) 1 | 00:05:00 | ||
| Video 1: How to compare mean and median between two groups (1) | 00:03:00 | ||
| Video 2: How to compare mean and median between two groups (2) | 00:06:00 | ||
| Video 3: How to compare mean and median between two groups (3) | 00:03:00 | ||
| Video 4: Perform Student T-test to compute the P value to compare two means | 00:06:00 | ||
| Video 5: Perform parametric test | 00:03:00 | ||
| Video 6: Non-parametric test | 00:04:00 | ||
| Video 7: Student t-test using lock transformed outcome variable | 00:04:00 | ||
| Video 8: Mann-Whitney U-test using R | 00:02:00 | ||
| Video 9: Mann-Whitney U-test (Wilcoxon rank-sum test) | 00:06:00 | ||
| Video 10: Paired t-test | 00:04:00 | ||
| Video 11: Compute the p-value for paired t-test | 00:04:00 | ||
| Video 12: Check the paired t-test assumption | 00:03:00 | ||
| Video 13: Wilcoxon signed-rank test | 00:06:00 | ||
| Module: 7 | |||
| Weekly Handouts (W5) | 00:10:00 | ||
| Video 1: Comparing binary outcome between groups (1) | 00:03:00 | ||
| Video 2: Comparing binary outcome between groups (2) | 00:06:00 | ||
| Video 3: Comparing binary outcome between groups (3) | 00:02:00 | ||
| Video 4: Computing P-value | 00:06:00 | ||
| Video 5: Compute the Rate (1) | 00:04:00 | ||
| Video 6: Result of the Rate | 00:02:00 | ||
| Video 7: Compute the Rate (2) | 00:01:00 | ||
| Video 8: Compare the Two Results | 00:02:00 | ||
| Video 9: Use the Rate | 00:01:00 | ||
| Video 10: Rate vs Proportion | 00:03:00 | ||
| Video 11: Risk ratio and risk difference (1) | 00:06:00 | ||
| Video 12: Risk ratio and risk difference (2) | 00:02:00 | ||
| Video 13: Risk ratio vs Odds ratio (1) | 00:04:00 | ||
| Video 14: Risk ratio vs Odds ratio (2) | 00:05:00 | ||
| Video 15: Risk ratio vs Odds ratio (3) | 00:06:00 | ||
| Video 16: Risk ratio vs Odds ratio (Case-control study) (1) | 00:05:00 | ||
| Video 17: Risk ratio vs Odds ratio (Case-control study) (2) | 00:03:00 | ||
| Video 18: How to compute odds ratio in R commander | 00:04:00 | ||
| Module: 8 | |||
| Weekly Datasets,WEEK 6 | 00:05:00 | ||
| Dataset Preparation 6 | 00:05:00 | ||
| Video 1: Sample Size Computation | 00:03:00 | ||
| video 2: Impacts on p-value | 00:06:00 | ||
| Video 3: R01 and Consort | 00:03:00 | ||
| video 4: Statistical Hypothesis testing | 00:06:00 | ||
| Video 5: Power | 00:01:00 | ||
| Video 6: Computing Sample Size | 00:04:00 | ||
| Video 7: T-test Option and Dichotomous Option | 00:06:00 | ||
| Video 8: How to Graph | 00:04:00 | ||
| Video 9: Improving Analytical Power | 00:02:00 | ||
| Video 10: Comparing 2 Propotions | 00:06:00 | ||
| Video 11: Conclusion | 00:02:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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