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Applied Biostatistics: Statistics for Medical Research - Edukite
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Applied Biostatistics: Statistics for Medical Research ( 9 REVIEWS )
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The course teaches the basic statistics terms with a special focus on the R statistic software package. In the course, …
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FREE
1 YEAR LEVEL 2 COURSE BADGE COURSE CERTIFICATE
119
NUMBER OF UNITS NUMBER OF QUIZZES
0
9 HOURS, 9 MINUTES
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CURRICULUM
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The Applied Biostatistics: Statistics for Medical Research 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 de nitions, 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 Certi cate at a cost of £49. Having an Of cial Edukite Certi cation is a great way to celebrate and share your success. You can: Add the certi cate to your CV or resume and brighten up your career https://edukite.org/course/applied-biostatistics-statistics-for-medical-research-o-u/
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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
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Applied Biostatistics: Statistics for Medical Research - Edukite
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 Scienti c Evidence?
00:05:00
Video 7: Disproving Hypothesis
00:10:00
Video 8: Pitfalls of P-Value
00:09:00
Video 9: Con dence Interval (1)
00:05:00
Video 10: Con dence Interval (2)
00:06:00
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Applied Biostatistics: Statistics for Medical Research - Edukite
Video11: Con dence 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: Classi cation 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
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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
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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
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Applied Biostatistics: Statistics for Medical Research - Edukite
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
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Applied Biostatistics: Statistics for Medical Research - Edukite
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
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Applied Biostatistics: Statistics for Medical Research - Edukite
Video 10: Comparing 2 Propotions
00:06:00
Video 11: Conclusion
00:02:00
Assessment
Submit Your Assignment
00:00:00
Certi cation
00:00:00
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