# The Math of Vaccine Science

### Before 2020, IPAK-EDU did not exist. This summer, we'll teach you the math of vaccine science.

Analytics is a huge part of IPAK-EDU. Our aim is to empower people - not dozens, but *hundreds* - of people to be able to evaluate, with solid training, any vaccine study - and any public-health-related study, for that matter. The extra good news is that dyed-in-the-wool epidemiologist has agreed that this is an important mission, so she and I have developed the draft Syllabus for a Summer Bootcamp course. Hopefully, curriculum development will be underway soon!

If we have enough enrollees, you and your classmates will learn the basics of spreadsheet operations (we have a full course on that if you need it), and all of the following (subject to change):

1&2: Basic Spreadsheet Operations

3. OR - Odds Ratios

4. RR - Relative Risk

5. Absolute Risk - Absolute Risk

6. Incidence Rate Ratio (IRR)

7. Assessing "significance" - p-values - Association Tests

8. Confidence Intervals - Calculating CIs in Excel (Data CIs vs. Distributional CIs)

9. Outcomes - 1

*Neutralizing Ab response, Ab response, B-cell and T-cell response*

10. Outcomes - 2

*Hospitalization and Deaths *

11. Vaccine Efficacy

12. Statistical Power Curves

13. Definition of Cases

*Symptomatic Cases - Indeterminate or mixed diagnosis*

*Medical Cases - Determine (definitive diagnoses)*

*Molecular Cases - RT-PCR/Antigen + vs - *

14 Calculating Diagnostic Accuracy: TP, TN, FP, FN, PPV, NPV, Accuracy, ROC Curves

15. Confounding and what to do about it

16. Stratified Analysis: Interpreting subgroup analyses

Each lecture will have a calculation and inference exercise.

At the end of the bootcamp course, the students will be given a data challenge to assess their new skills. Check out the courses open for enrollment in our Analytics Track - and get your brain on!

Click on the Image Below to Visit the IPAK-EDU Analytics page:

Given that the purpose is to create a grassroots movement where private people can be trained to analyze data (focused on medical/pharmacological), what do you see them doing with their newly gained skill set? Is this just to be for personal use? I could see the dissemination of what they find being very helpful to the public who hungers and thirsts for truth, but at the same time am a wee bit leery of an organization arising, with the attendant possibility of corruption from within down the road. Can you say Federal Government?

I get into theoretical discussions frequently with my spouse, who at times can get frustrated with my sometimes thread-pulling on potential eventualities that I guess can seem like borrowing trouble. Hope my questions aren’t misconstrued. I’m genuinely excited and interested in where all this could go. I think this is wonderfully creative thinking and applaud you for looking outside the box for answers to some big problems.

Yay!!! What an excellent opportunity.