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#BAYES
Judy Doherty
JudyADoherty
Inspired by @StroudStory talk for @TheCCT on Arts and Crafts war memorials in the Cotswold area, I pootled down to take a closer look at the memorial in Hythe, Kent.
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Insane
TheInsaneApp
Python and R Codes for Various Machine Learning AlgorithmsAlgorithms covered:- Linear Regression- Support Vector Machines- K-nearest Neighbors- Naive Bayes- Logistic Regression- Decision Tree- Random Forest- Dimensionality Reduction- k-Mean
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Robin Monotti
robinmonotti
#TheGreatReset. It's all based on a statistical hoax created by the false definition of cases compounded by a "test" with cycle thresholds that are too high & the inclusion of
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John Mandrola, MD
drjohnm
Ok at the request of @PerPersvensson let's do a Bayes Analysis of the HERS trial circa JAMA 1999Estrogen/progesterone vs Placebo for reduction of MI/CV death.https://twitter.com/PerPersvensson/status/1355426831797772290 Here are the eve
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John Mandrola, MD
drjohnm
Analysis of #Colcorona Trial results in #COVID19 outpatients with risk factors.I will add Bayesian take and focus on the ITT. (cite @ProfHayward here) Primary endpoint death or Hospitalization -- legitLink
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Dr. Simon ツ
goddeketal
1/ Happy to announce that we have submitted our #paper ‘Bayes Lines Tool (BLT) - A SQL-script for analyzing diagnostic test results with an application to SARS-CoV-2-testing’.In this thread, I
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Anupam Singh
anupampom
A thread of threads . As a repository of all threads/posts by me A thread on Bollywood Music from 1950s till 1990shttps://twitter.com/anupampom/status/1003927233575116801 A thread on genetic history of us Indians/featuring
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Heather Urry
HeatherUrry
Psych Stats/Methods people: Tomorrow, hypothesis testing strikes back in my undergrad research methods class. Wanted to share some resources that I've found really helpful to talk about Bayesian hypothesis testing.
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Youyang Gu
youyanggu
If we vaccinate 10 million people today, statistically 300 of them will die the very next day. Regardless if they actually got vaccinated or not.Over the next months, it's important
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Peyman Milanfar
docmilanfar
Optimization problems for solving inverse problems often require compute-heavy, large-scale, iterative solutions. Maybe we can avoid all that & "kernelize" the problem, thereby approximating the solution by making & applyi
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Bobby Rajesh Malhotra ツ
Bobby_Network
We've submitted a manuscript to F1000 Research for peer-review:“Bayes Lines Tool (BLT)-A SQL script for analyzing diagnostic test results with an application to SARS-CoV-2-testing”Graph: Relation of True Positives VS True
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Chris Wymant
ChrisWymant
UK headlines on Friday reported that only 20% of #COVID19 cases have any symptoms at all, quoting the Health Secretary quoting the Office of National Statistics.This number is very wrong.A
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Ari Schulman
AriSchulman
538's track record is statistically very good. The problem is with applying statistics at all. Odds help us make sense of similar, repeatable events. They do not bear much intelligible
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Z Bolay Buss
buss_patriarchy
Thinking more abt the whole CBT as glorified gaslighting issue & how one of the supposed “thought distortions” is “catastrophizing” but I haven’t seen the reverse “minimizing” labeled as a
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Karandeep Singh
kdpsinghlab
Statistician: The p-value is 0.16780.Clinician: All I want to do is this. I just want you to remove 0.11780, because I know the p-value is less than 0.05. If power
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Robin Monotti
robinmonotti
BAYES' THEOREM: The basic reason we get so many false positives to COVID19. The disease is so rare that the number of false positives greatly outnumbers the people who truly have the disease:
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