Minimisation is a method of adaptive stratified sampling that is used in clinical trials, as described by Pocock and Simon. The aim of minimisation is to minimise the imbalance between the number of patients in each treatment group over a number of factors. Normally patients would be allocated to a treatment group randomly and while this maintains a good overall balance, it can lead to imbalances within sub-groups. For example, if a majority of the patients who were receiving the active drug happened to be male, or smokers, the statistical usefulness of the study would be reduced. The traditional method to avoid this problem, known as blocked randomisation, is to stratify patients according to a number of factors (e.g. male and female, or smokers and non-smokers) and to use a separate randomisation list for each group. Each randomisation list would be created such that after every block of x patients, there would be an equal number in each treatment group. The problem with this method is that the number of lists increases exponentially with the number of stratification factors. Minimisation addresses this problem by calculating the imbalance within each factor should the patient be allocated to a particular treatment group. The various imbalances are added together to give the overall imbalance in the study. The treatment group that would minimise the imbalance can be chosen directly, or a random element may be added (perhaps allocating a higher chance to the groups that will minimise the imbalance, or perhaps only allocating a chance to groups that will minimise the imbalance). The imbalances can be weighted if necessary to give some factors more importance than others. Similarly a ratio can be applied to the number of patients in each treatment group. In use, minimisation often maintains a better balance than traditional blocked randomisation, and its advantage rapidly increases with the number of stratification factors. (Wikipedia).
Test for a Difference in Means, Independent Samples, Minitab, Data in Two Columns
This demonstrates how to conduct a hypothesis test for a difference in means between independent samples. It uses Minitab with raw data and each sample is in its own column. This demonstration corresponds to Introduction to Statistics, Think & Do, by Scott Stevens (www.StevensStats.com)
From playlist Minitab and Minitab Express Demonstrations
Test for a Difference in Means, Independent Samples, Minitab, Data in One Column
This demonstrates how to conduct a hypothesis test for a difference in means between independent samples. It uses Minitab with raw data and both samples are in one column. This demonstration corresponds to Introduction to Statistics, Think & Do, by Scott Stevens (http://www.StevensStats
From playlist Minitab and Minitab Express Demonstrations
Test for a Difference in Two Proportions, Minitab, Data in One Column
This demonstrates how to conduct a hypothesis test for a difference in two proportions. It uses Minitab when both samples are in one column. This demonstration corresponds to Introduction to Statistics, Think & Do, by Scott Stevens (http://www.StevensStats.com).
From playlist Minitab and Minitab Express Demonstrations
3_1 Introduction to Antibiotics
An introduction to the talks on the use of antibiotics in surgical practice.
From playlist Surgery Intermediate Exam Masterclass
Guest lecture by Sophia Althammer (https://twitter.com/sophiaalthammer) In this lecture we learn how about different task settings, challenges, and solutions in domains other than web search. Slides & transcripts are available at: https://github.com/sebastian-hofstaetter/teaching 📖 Check
From playlist Advanced Information Retrieval 2021 - TU Wien
Parametric and nonparametric tests
Parametric tests are most commonly used in healthcare research. They include tests such as Student's t-test and ANOVA. There is, however a rich set of non-parametric tests that are much more appropriate to use in certain circumstances.
From playlist Learning medical statistics with python and Jupyter notebooks
Testing and Online Experimentation
Join Data Science Dojo and Statsig for a conversation on experimentation and testing. Learn how leading companies like Facebook use experimentation to build better products and accelerate their growth with 10x as much testing. Web experimentation can range from simple projects like design
From playlist A/B Testing & Beyond
This demonstration shows you how to conduct an ANOVA test with Minitab. This demonstration corresponds to Introduction to Statistics, Think & Do, by Scott Stevens (http://www.StevensStats.com).
From playlist Minitab and Minitab Express Demonstrations
17. Reinforcement Learning, Part 2
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: David Sontag, Barbra Dickerman View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j In the first half, Prof. Sontag discusses h
From playlist MIT 6.S897 Machine Learning for Healthcare, Spring 2019
Resource Allocation in Multi-armed Bandits by Kirthevasan Kandasamy
A Google TechTalk, presented by Kirthevasan Kandasamy, 2021/06/09 ABSTRACT: Most bandit problems are formulated in terms of the number of arm pulls (sample complexity), where we usually wish to find the optimum of an unknown system while minimising the number of arm pulls. However, executi
From playlist Google BayesOpt Speaker Series 2021-2022
1_7 The Use of Plasma Components
The indications for the use of plasma products.
From playlist Surgery Intermediate Exam Masterclass
M17 Hypothesis Test 1 Proportion
Perform a One Sample Hypothesis Test on proportions in Minitab 17.
From playlist Minitab 17 Instructional Videos
NLP for Clinical Excellence: The State of Practices, Opportunities, and Challenges
Presented by: Yanshan Wang - Vice Chair of Research and Assistant Professor at University of Pittsburgh Rapid growth in adoption of electronic health records (EHRs) has led to an unprecedented expansion in the availability of large longitudinal datasets Large initiatives such as the Elect
From playlist Healthcare NLP Summit 2022
Bandit Problems and Ethical Clinical Trials - William Press
William Press The University of Texas at Austin September 28, 2013 More videos on http://video.ias.edu
From playlist Dreams of Earth and Sky
Text Analytics and its Applications in the Pharma Industry | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/ In the healthcare domain, the product life cycle from t
From playlist NLP Summit 2020
James Zou: Trust is AI’s most critical contribution to health care
Subscribe to Stanford Engineering's The Future of Everything podcast: https://the-future-of-everything-stanford-engineering.simplecast.com/ AI can reveal remarkable medical insights, but only if patients and doctors have faith in it. Thus, trust has become AI’s singular goal, says this ex
From playlist The Future of Everything
The Big Problem With The Drugs You Take
Who makes sure the drugs you take are safe, and can you trust them? TAKE THIS SURVEY! (sponsored link): http://bit.ly/LifeNoggin Subscribe: https://bit.ly/SubLifeNoggin | Get your exclusive Life Noggin merch: http://keeponthinking.co Support Life Noggin on Patreon: https://patreon.com/
From playlist Popular Uploads | Life Noggin
Lesson Learned annotating training data for healthcare NLP projects | NLP Summit 2020
Try 50+ pre-trained entity recognition models including signs & symptoms, diagnoses, procedures, anatomy, demographics, risk factors, vitals, labs, and more. Use 15+ image processing algorithms for OCR from low-quality documents. Looking forward to your feedback! In lessons learned anno
From playlist NLP Summit 2020
Cancer Cure Cover-Up? (Conspiracy Documentary) | Real Stories
The modern biographical story of Stanislaw Burzynski, MD, PhD who discovered an innovative patent-protected cancer therapy currently enrolled in FDA clinical trials. This story sheds light on the current regulatory and industry roadblocks preventing these life-saving medications from reach
From playlist Medical Stories
Introduction to the MathWorks Minidrone Competition
Get a quick introduction to the MathWorks Minidrone Competition in terms of the competition problem statement, rounds, and participation details for the in-person as well as the virtual competition. - Watch the full playlist about the MathWorks Minidrone Competition: https://youtube.com/p
From playlist MathWorks Minidrone Competition