The SEER database is the most accessible cancer outcomes resource in the world. Registration takes minutes, the data cost nothing, and the analytic software is free. That accessibility explains both why the resource is so valuable and why oncology editors have grown sharp about it. Investigators in mainland China alone published 1,566 SEER papers by August 2020, a count that grew significantly year on year…
Pleiotropy in Mendelian Randomization: What Each of the Four Estimators Actually Protects You From
Running four estimators and checking that they agree has become the standard defence against pleiotropy in a Mendelian randomization paper. Inverse-variance weighting for the headline, then MR-Egger, the weighted median and the weighted mode underneath it, and a sentence in the results saying the estimates were consistent across methods. Editverse has supported more than 1,100 manuscripts, and this is now the single most common sensitivity…
Weak Instruments in Mendelian Randomization: What the F-Statistic Actually Tells You
The F-statistic is the number a reviewer looks for first in a Mendelian randomization paper, and the rule attached to it, that an instrument is adequate once F exceeds 10, is quoted in almost every methods section written since 2011. Editverse has supported more than 1,100 manuscripts, and in the registry and genetic-epidemiology work our statisticians handle, the F-statistic is also the number authors are…
Machine Learning for Data Analysis: Applications in Academic Research for 2024
“The greatest danger in times of turbulence is not the turbulence; it is to act with yesterday’s logic.” This quote from Peter Drucker highlights the big change Machine Learning brings to Data Analysis in Academic Research for 2024. Machine learning (ML) is changing how researchers do their work. It uses complex algorithms to handle big datasets. By 2024, ML will help you find deeper insights…
Big Data Analytics in Research: Tools and Techniques for 2024-2025
“Without data, you’re just another person with an opinion.” – W. Edwards Deming. This quote shows why Big Data Analytics is key in research for 2024-2025. With over 328.77 million terabytes of data created daily, and 120 zettabytes yearly, advanced data analytics is vital for analyzing these huge datasets1. The market for big data analytics is expected to hit $84 billion by 20241. In today’s…