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Author: Steve Ruberg

Blog 20: I Am (Probably) Wrong, Maybe

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A promising treatment for Covid-19 comes from a most unusual source - an anti-depressant treatment. Is the evidence compelling? What should we believe?

Steve Ruberg Are You Sure?, Bayesian Thinking, Case Studies Leave a comment November 12, 2021May 29, 2022 16 Minutes

Blog 19: We Won’t Get Fooled Again, Again

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Many clinician researchers are attempting to "repurpose" old treatments for COVID-19. How shold we evaluate purported positive findings in a small, but rigorous, clinical trial?

Steve Ruberg Are You Sure?, Bayesian Thinking, Case Studies Leave a comment March 9, 2021 13 Minutes

No. 18: Analytics, Fast and Slow

Fast to the wrong answer is not a good business or scientific strategy. Slow, but rigorous, analysis does not meet business or scientific needs either. It has to be "and."

Steve Ruberg Are You Sure?, Stats and Data Science Leave a comment April 13, 2020April 13, 2020 9 Minutes

No. 17: Analytics, Data Science and Statistics – A Rose by Any Other Name …

There is a lot of confusion over what data science is and how it is the same or different from statistics or other data analytic fields such as epidemiology or econometrics. This is my attempt to describe the "big tent" of Analytics.

Steve Ruberg Stats and Data Science Leave a comment March 30, 2020April 13, 2020 10 Minutes

No. 16: Beware Caesar – Alcohol Consumption and Alzheimer’s Disease

Published research from respectable journals and reported by renowned press outlets can be very misleading and of questionable importance. But it helps keep funding for the researchers and readership for the news media.

Steve Ruberg Are You Sure?, Bayesian Thinking, Case Studies, Uncategorized 1 Comment March 15, 2020April 13, 2020 19 Minutes

No. 15: Subgroups, Multiplicity and Bayes – A Case Study

Alzheimer's Disease has had many failures, and various companies have had mixed results. Bayesian approaches can bring clarity to the inference and primary question: "Does this treatment work?"

Steve Ruberg Bayesian Thinking, Case Studies, Subgroup Identification Leave a comment January 15, 2020March 30, 2020 10 Minutes

No. 14: Estimands – WHAT Is It All About?

Estimands is the simplest concept with the most difficult implementation. With the release of the final ICH Guideline in Estimands today, this first of several blogs to follow delves into the topic.

Steve Ruberg Estimands Leave a comment December 4, 2019January 9, 2020 11 Minutes

No. 13: Unconsciously Biased and Consciously Unbiased

Implicit models in the back of our minds can creep into explicit models creating biased predictions that have societal implications.

Steve Ruberg Bayesian Thinking, Case Studies, Stats and Data Science Leave a comment November 7, 2019 4 Minutes

No. 12: Models – Implicit and Explicit

If we fail to acknowledge that we have biases and assumptions that influence our assessment of 'objective facts,' then we delude ourselves. Our perception of reality and how we judge evidence is colored by our beliefs which arise from our specific experiences.

Steve Ruberg Bayesian Thinking, Stats and Data Science 3 Comments October 23, 2019November 15, 2019 7 Minutes

No. 11: Some Beliefs in Priors

The probability that the null hypothesis is true is 0.50. How should we interpret that and then write it down mathematically?

Steve Ruberg Bayesian Thinking Leave a comment October 14, 2019October 14, 2019 14 Minutes

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Stephen Ruberg, PhD

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Recent Posts

  • Blog 20: I Am (Probably) Wrong, Maybe November 12, 2021
  • Blog 19: We Won’t Get Fooled Again, Again March 9, 2021
  • No. 18: Analytics, Fast and Slow April 13, 2020

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