To keep in touch w/research scientist Dr. Chris Exley, (aka "Mr. Aluminum), whose email list from the newly minted "University of Keele Pharma Outlet" is closing today - subscribe here - https://www.aluminiumresearchgroup.com/contact #Stayconnected #Science

Want to learn how to analyze data, and how to critically evaluate how people analyze data? #IPAKEDU ANNOUNCEMENT: WE ARE offering Applied Biostatistics this term at IPAK-EDU. Learn how to analyze data - and all of the fundamental assumptions that should be met. This is a lecture-based, hand-one live course with in-class/take home exercises.

Sign up today, we'll start next week -
https://ipak-edu.org/old-home-2/?store-page=Applied-Biostatistics-Analytics-200-p379243785

(Monthly payment option available!)

IPAK-EDU Analytics 200
Applied Biostatistics

Instructor: James Lyons-Weiler, PhD

In this course, you will be introduced to the principles and practice of inferential statistics in action, including key principles of distributional assumptions, random samples, randomization, parametric and non-parametric statistical hypothesis testing, statistical power, measuring association & correlation, comparing means between two and among two or more populations, and introductory regression theory and practice.

All lectures will have in-class/take-home exercise conducted in spreadsheets. Upon completion of this course will be able to know the difference between descriptive statistical analysis perform statistical hypothesis testing in a variety of settings and be able to critique the use of specific approaches to hypothesis testing in published studies.

Recommended book(s): There are many books that make statistical analysis accessible. A few I recommend, in increasing sophistication
-Statistics For Dummies
-Research Methods and Statistics in Psychology (SAGE Foundations of Psychology series)
-A Concise Course in Statistical Inference

Also – How to Lie with Statistics

No book is need for this course; for each lecture, I’ll also send a list of links for readings online that will be useful.

Topic/Concepts
1. Measures of Central Tendency
distributions
mean, median, mode
central limit theorem, i.i.d.
Chebychev's theorem

2. Sampling a Population
Why random sampling is important
Measures of skew
Measures of normality
Random error and bias
Homework 1: Learn how to Randomly select 100 values from 1,000 numbers in Excel

3. Hypothesis testing 1- Means.
Randomization/Permutation testing - difference of means
Homework
3a: Calculate the means of two samples
3b: Randomize the data between groups and re-calculate the mean 10,000 times
concept: alpha (e.g., 0.05)
Example 1: Means ARE different @  = 0.05
Example 2: Means ARE NOT different @  = 0.05

4. Parametric hypothesis testing - t-test
Assumptions and testing assumptions
Concepts: p-values, relation to alpha, independent and dependent variables
Homework 4
Testing the hypothesis of different means w/the t-test
Example 1: Means ARE different @  = 0.05
Example 2: Means ARE NOT different @  = 0.05

5. Hypothesis testing 2 - Categorical data (counts)
Chi-square
Fisher's exact test
Homework 5
Categorical data example 1

6. Statistical power
Concepts: Effect size, sample size, alpha, intrinsic power of a test
Homework 6: calculate statistical power for the t-test, two populations

7. Measuring correlations 1
Linear models
Homework 7: Calculation the correlation coefficient

8. Non-parametric tests
Spearman rank correlation
Homework 8: Perform a spearman rank correlation calculation

9. Application - Comparison of means
Student challenge - Choose 2 of 5 example data sets and choose a test
Real-time, in class experience.

10. ANOVA
Analysis of Variance – measuring variation among means in multiple populations
Assumptions
Example (what to expect)
No homework

11. Application - Measuring association
Chi-Square test,
Relative Risk
Odds Ratio

Homework
Calculate Chi-Square, RR and OR given some real data

12. Application - Power curves
Empirical demonstration of robust rejection of Ho
Using a given effect size, calculate power curves over sample size range low to high

13. Application - Correlation
Find real-world examples of calculation of correlation w/available data
re-calculate correlation coefficient

14. Application - Regression models
Lecture on Regression

Independent and dependent variables again
Parameter interpretation - slope, intercept, R^2, error
Why curve-fitting is so limited in utility.

15. Summing it up - STUDENTS EVALUATE AND INTERPRET THE ANALYSIS OF A STUDY.
Read and interpret one of a list of studies
Focusing on the data analysis, interpret the results.
Did the study meet the assumptions of the analysis?
Was the study sufficiently powered?
Critique the study using what you’ve learned in this class and in past courses.

Open letter to CDC on re-infection rates in vaccinated vs. unvaccinated.
https://jameslyonsweiler.com/2021/09/01/open-letter-to-the-cdc-on-reinfection-rates-in-vaccinated-and-unvaccinated/

Have you joined the IPAK Science Heroes? All of our research is supported by the public via small monthly donations - and we're having a massive impact. Check out https://ipaknowledge.org

Right now we're studying the impact of aluminum on human health, total vaccine exposure on health outcomes and studying the accuracy (inaccuracy) of RT-PCR tests in COVID-19 diagnosis. #Science #Research #Objectivity

Lecture 1. #ENVTOX

https://vimeo.com/596748730

Register for the full live course at http://IPAK-EDU.org

It's not too late to sign up for The Vaccine Course at IPAK-EDU.
Click here to read the course description - you'll have the best resources at your fingertips ready for use in a variety of contexts.

https://ipak-edu.org/vaccine-course/

If you follow me, trust me when I say: you are a Popular Rationalist. 1. Being the opposite sucks (i.e., "Unpopular Irrationalist"). 2. You're CLAMORING for science, logic and reason - something abandoned by "stakeholders" long ago.
See you on my substack. Bring friends. https://bit.ly/3zKzOz8

In-depth analysis to be published tomorrow on Popular Rationalism: An analysis of Dr. Vincent Racaniello's reactions to @lexfridman 's questions on Lex's podcast. Sign for free emails via my substack, or subscribe for premium content. https://bit.ly/38Y051j

#IPAK is setting Science free.
http://ipaknowledge.org
Check of the chains in detail.

Science breaking free. Commissioned work.

The biggest problem with the manipulation of perception of global climate data is the distraction from massive ongoing environmental crises: destruction of ecosystems and loss of species via extinction. When science is politicized, everyone loses. #envtox https://ipak-edu.org/old-home-2/?store-page=Environmental-Toxicology-A-p360046326

Clay Clayton and I discuss #pathogenicpriming and other COVID19 realities
https://rumble.com/vm7h2z-dr.-james-lyons-weiler-disease-causing-medical-practices-101.html

Launching a new initiative to be able to PREDICT vaccine adverse events in specific patients using machine learning. Once we can show we can predict who will be injured, the causality argument is OVER. This won't happen w/out your support. #IPAK
https://bit.ly/3jSF6Tw

MUST READ
"There was a clash between two schools of thought, authoritarian public health versus science—and science lost." - John Ioannidis
https://www.tabletmag.com/sections/science/articles/pandemic-science
Except for his idea that the "anti-vaxxers" lost an opportunity to learn. They learned. And except for that science lost. Because this is not over.

http://ipaknowledge.org

People need to report misinformation coming from their and any doctor
https://www.fsmb.org/advocacy/news-releases/fsmb-spreading-covid-19-vaccine-misinformation-may-put-medical-license-at-risk/
Including misleading claims on diagnosis, treatment, hospitalization rates, and of course misinformation on the efficacy and safety of COVID-19 vaccines. https://www.fsmb.org/advocacy/news-releases/fsmb-spreading-covid-19-vaccine-misinformation-may-put-medical-license-at-risk/

New EWG Petition with a Sept 17th Deadline - PFAS, HORMONE MIMICS,
But right now, the EPA is asking the public to weigh in on dozens of contaminants in drinking water, including cancer-causing PFAS chemicals. We have until September 17 to urge the EPA to get these hazardous contaminants out of our drinking water. Will you help us reach 50,000 signatures of people fighting for clean water issues.
But right now, the EPA is asking the public to weigh in on dozens of contaminants in drinking water, including cancer-causing PFAS chemicals. We have until September 17 to urge the EPA to get these hazardous contaminants out of our drinking water. Will you help us reach 50,000 signatures of people fighting for clean water?
Deadline: September 17
Goal: 50,000
Our petition:
Clean up our water! Chemicals linked to cancer, hormone disruption and infertility should not be allowed in our water. It's time for the EPA to do its job and regulate hazardous drinking water contaminants like PFAS, pesticides and disinfection byproducts.
https://act.ewg.org/a/tell-epa-clean-our-water?sourceid=1020456

Hawaii is now an E-prison. Coming soon to a state near you. Wake up and fight.
https://governor.hawaii.gov/newsroom/office-of-the-governor-news-release-state-launches-hawaii-smart-health-card-for-digital-vaccination-verification/

Coming soon to a media outlet near you. The SAN JUAN DECLARATION.

Send to someone who needs to know.
Https://youtu.be/JeliRVZ4V00
#ForwardEscape

**** !!! IPAK EDU will be offering a course "Lessons from Literature" - readings and reviews of warnings and prescriptions against totalitarianism... Two questions - (1) Would you take such a course? (2) What readings from the classic literature would you think are essential, and what lessons do they provide?