I recently stumbled onto a nearly decade old statistics/research series that's been ongoing in the academy of nutrition and dietetics journal (the series is split between JADA and JAND). I've been reading through it and appreciate its review of basic statistics and more complex methods, especially since it's framed in topics relevant to nutrition (I think what I hated most about stats was the examples being more relevant to baseball players and not biomedical scientists). In addition to JAND's efforts in stats education, ASN/AJCN have been running a series called "best (but oft-forgotten) practices).
JAND's series:
3. An Introduction to Qualitative Research for Food and Nutrition Professionals
4. A Review of Epidemiological Methods
5. Validity, Reliability, and Diagnostic Test Assessment in Nutrition-Related Research
6. A Review of Multivariate Techniques
Part 1:
Part 2:
Part 3:
AJCN's Best (but oft-forgotten) Practices:
1. Intro:
2. Checking Assumptions Concerning Regression Residuals
3. Designing, Analyzing, and Reporting Cluster Randomized Controlled Trials:
4. Multiple Test Corrections
5. Testing for treatment effects in randomized trials by separate analyses of changes from baseline in each group is a misleading approach
6. Sensitivity analyses in randomized controlled trials
7. Expressing and interpreting associations and effect sizes in clinical outcome assessments
8. The design, analysis, and interpretation of Mendelian randomization studies.
9. Propensity score methods in clinical nutrition research.
10. Intention-to-treat, treatment adherence, and missing participant outcome data in the nutrition literature.
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| We've all had that moment |
1. Publishing nutrition research: a review of study design, statistical analyses, and other key elements of manuscript preparation
3. An Introduction to Qualitative Research for Food and Nutrition Professionals
4. A Review of Epidemiological Methods
6. A Review of Multivariate Techniques
Part 1:
Part 2:
Part 3:
AJCN's Best (but oft-forgotten) Practices:
1. Intro:
2. Checking Assumptions Concerning Regression Residuals
3. Designing, Analyzing, and Reporting Cluster Randomized Controlled Trials:
4. Multiple Test Corrections
5. Testing for treatment effects in randomized trials by separate analyses of changes from baseline in each group is a misleading approach
6. Sensitivity analyses in randomized controlled trials
7. Expressing and interpreting associations and effect sizes in clinical outcome assessments
8. The design, analysis, and interpretation of Mendelian randomization studies.
9. Propensity score methods in clinical nutrition research.
10. Intention-to-treat, treatment adherence, and missing participant outcome data in the nutrition literature.
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