critical-thinking/course_outline/course4-Data Literacy/README.md

Data Concepts

• Cochrane Handbook for Systematic Reviews of Interventions

1. Simpsons Paradox
2. Probabilty Interpretations
   • Random Variables
   • Understanding Random Variables
3. Metadata
4. Observational_study
5. Data Generation
   • DGP
   • DGP Schematic
   • DGP Example
6. Statistical Sampling
7. Indicators
8. Stochastic Processes
9. Randomized Control Trials
10. Observational Studies: Cohort and Case-Control Studies
11. Hypothesis testing, type I and type II errors
12. Cherry Picking
13. Misuse of Statistics
14. Placebo Effect and Nocebo
15. Self Fulfilling Prophecy
16. Diagnosis
    • Medical_diagnosis
    • Diagnostic_program
    • AI Diagnosis
17. Information_overload
18. Information_literacy
19. Filter_bubble
20. Data_collection
21. Evidence Based Practice Toolkit
    • Understanding Evidence-Based Public Health Policy
    • Clinical Terms
    • NCBI Guide
    • NCBI Practitioners Guide
    • An Introduction to Evidence Based Medicine
    • How to Appraise a Clinical Trial - Part 1
    • How to Appraise a Clinical Trial - Part 2
    • How to Appraise a Clinical Trial - Part 3

Lessons

• DataLearner

1. Introduction to Epidemiology and Biostatistics
2. Introduction to the Principles and Practice of Clinical Research
3. Sample Size and Power
4. IPPCR 2015: Overview of Hypothesis Testing
5. IPPCR 2015: Issues in Randomization
6. Sidney Redner on Statistics and Everyday Life
7. How Not to Fall for Bad Statistics - with Jennifer Rogers
8. Measures of Risk in Epidemiology
9. 4. Descriptive and Analytical Studies | CPP NCD Epidemiology
10. Introduction to Statistical Hypothesis Testing
11. Evidence Based Medicine Lectures
12. Measures of Association
13. Statistics for Beginners
14. The Challenges of Evidence-Based Medicine (Part 1)

Short Lessons

1. Validity Bias and Confounding
2. Cohort Studies..... Made Easy !!!
3. RCT vs Cohort
4. Epidemiology: Observational Study Types, Odds Ratio, Relative Risk, Attributable Risk
5. Confounding
6. What does statistical CONFOUNDING mean?? GREAT VIDEO!
7. Screening in Epidemiology.... made easy !!!!
8. What are p-values?? Seriously.
9. Epidemiology: Measures of Disease: Prevalence, Cumulative Incidence and Incidence Rate
10. Sensitivity, Specificity, PPV, and NPV
11. Odds Ratios and Risk Ratios
12. Epidemiology: Measure of Disease Frequency, Incidence and Prevalence
13. Errors in Hypothesis...Detail lecture
14. What is Standardized Data?