independent study
Optimal testing using combined test statistics across independent studies
Combining test statistics from independent trials or experiments is a popular method of meta-analysis. However, there is very limited theoretical understanding of the power of the combined test, especially in high-dimensional models considering composite hypotheses tests. We derive a mathematical framework to study standard {meta-analysis} testing approaches in the context of the many normal means model, which serves as the platform to investigate more complex models.We introduce a natural and mild restriction on the meta-level combination functions of the local trials. This allows us to mathematically quantify the cost of compressing $m$ trials into real-valued test statistics and combining these. We then derive minimax lower and matching upper bounds for the separation rates of standard combination methods for e.g.
Optimal testing using combined test statistics across independent studies
Combining test statistics from independent trials or experiments is a popular method of meta-analysis. However, there is very limited theoretical understanding of the power of the combined test, especially in high-dimensional models considering composite hypotheses tests. We derive a mathematical framework to study standard {meta-analysis} testing approaches in the context of the many normal means model, which serves as the platform to investigate more complex models.We introduce a natural and mild restriction on the meta-level combination functions of the local trials. This allows us to mathematically quantify the cost of compressing m trials into real-valued test statistics and combining these. We then derive minimax lower and matching upper bounds for the separation rates of standard combination methods for e.g.
HeartSciences' MyoVista Technology Used to Develop AI-ECG Algorithm to Identify Patients
Heart Test Laboratories, d/b/a HeartSciences, a medical technology company focused on saving lives by making an ECG (also known as an EKG) a far more valuable screening tool through the use of AI, announced that an independent study utilizing its MyoVista proprietary technology was featured in Advocate Aurora Health's Journal of Patient-Centered Research and Reviews, an open access, peer-reviewed medical journal devoted to advancing patient centered care practices, health outcomes, and patient experiences. The publication concluded that the MyoVista technology ECG-derived machine learning model "provides a cost-effective strategy for predicting patient subgroups in whom an integrated milieu of systolic and diastolic dysfunction is associated with a high-risk of major adverse cardiovascular events (MACE)." "This independent study demonstrates the opportunity that AI-ECG algorithms could bring to improving health outcomes. I believe the solution to unnecessary cardiac deaths will come from low-cost, front-line screening using AI-ECGs. Imagine the day where you can go to your primary care physician and a simple 20-second ECG test shows not only whether you have early-stage heart disease, but also whether you are at high-risk of a major adverse cardiovascular event in the next three years," stated Andrew Simpson, CEO of HeartSciences.
'Scientifically Proven': eHarmony Forced To Remove Ad That's Not Backed By Science
An advertisement for online dating site eHarmony has been banned by British ad regulator the Advertising Standards Authority (ASA) for making claims that the service is scientifically proven to work. The ban, handed down by the ASA Wednesday, will require eHarmony remove the advertisement from the billboard display on a London Underground platform where it had first appeared in July 2017. The ad in question from eHarmony contained a headline that read, "Step aside, fate. It's time science had a go at love." The ad also included additional text that read, "Imagine being able to stack the odds of finding lasting love entirely in your favor.
Scotiabank pumps funds into disruptive tech venture at OofT Rotman School of Management
The gift of 1.75 million will create the Scotiabank Disruptive Technologies Venture at the Rotman School of Management and support programs and initiatives including: "Successful businesses in the digital economy are creating new products and services, and reimagining how existing ones are delivered. This requires a new generation of talent that has the knowledge to understand the possibilities of a digital world and the skills to seize them," says Tiff Macklem, Dean, Rotman School of Management. "This investment by Scotiabank will help us scale up our very successful experiential learning programs in technology-based entrepreneurship and design thinking." "Consumers expect the same frictionless experience whether they're paying for a coffee, booking a hotel room, ordering a taxi or signing up for a credit card," says Brian Porter, President and Chief Executive Officer, Scotiabank. "As we work to deliver the best experience to our customers, we recognize the tremendous value of working closely with post-secondary institutions and their students. It also provides students hands-on experience to prepare them for job opportunities in the digital world. Scotiabank's partnership with Rotman is an important piece of our digital strategy, and we are optimistic that it will produce great results."