critical-thinking/course_outline/course4-Data Literacy

Data Concepts

Reporting Guidelines

• Cochrane Handbook for Systematic Reviews of Interventions
• Systematic Reviews and Meta Analysis
• UMD Systematic Review Steps
• Duke Systematic Reviews
• BJM Evidence Based Medicine
• CONSORT
• Ten simple rules for carrying out and writing meta-analyses
• PRISMA Statement
• Grade Approach and Grade Handbook
• Research Methods Knowledge Base

1. Randomized Trials: CONSORT
2. Observational Studies: STROBE
3. Systematic Reviews: PRISMA
4. Study Protocols: SPIRIT
5. Diagnostic/Prognostic Studies: STARD
6. Case Reports: CARE
7. Clinical Practice Guidelines: AGREE
8. Qualitative Research: SRQR
9. Quality Improvement Studies: SQUIRE
10. Economic Evaluations: CHEERS

Concepts

• Misuse of Statistics

1. Simpsons Paradox
2. Probabilty Interpretations
3. Metadata
4. Observational_study
5. Data Generation
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
17. Information_overload
18. Information_literacy
19. Filter_bubble
20. Data_collection
21. Evidence Based Practice Toolkit
22. Understanding Evidence-Based Public Health Policy
23. NCBI Practitioners Guide

Problems

1. Simpsons Paradox
2. Reference Class Problem
3. Base Rate Fallacy
4. Double Counting
5. Sampling Bias
6. Selection Bias
7. Self Selection
8. Survivorship bias
9. Omitted Variable
10. Response Bias
11. Data Dredging
12. Correlation vs Cause
13. Prosecutor Fallacy
14. Causal Fallacies
15. Information
16. Stylized Fact
17. Conditional Probability
18. Endogeneity
19. Gamblers Fallacy
20. Facts
21. Ecological Fallacy
22. False_positives_and_false_negatives
23. Type_I_and_type_II_errors
24. Dose Response Relationship
25. Confusion Matrix and Contingency Tables
26. Berksons Paradox
27. Regression Towards the Mean
28. Processes
29. Statistical Validity
30. Statistical Hypothesis Testing
31. Hypotheses
32. Precision_and_recall
33. Sensitivity_and_specificity
34. Causality

Lessons

• DataLearner

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?
15. An Introduction to Evidence Based Medicine
16. How to Appraise a Clinical Trial - Part 1
17. How to Appraise a Clinical Trial - Part 2
18. How to Appraise a Clinical Trial - Part 3