Articles

Data Analysis

Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.
In this blogpost, we've examined how machine learning benefits various aspects of clinical trial management, from planning the study to overseeing participants and…
Data cleaning sets the foundation for trustworthy analyses and robust results. This post uncovers some of the common pitfalls that might trip researchers up during the…
5 Common pitfalls in data cleaning that biomedical researchers need to know
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Biomedical researchers conducting simulation studies should consider several key statistical aspects to ensure the validity and reliability of their findings. Here, we…
10 things biomedical researchers need to know when conducting simulation studies
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Hidden Markov Models (HMMs) are extensively used in biomedical research for analyzing various types of sequential data, including DNA sequences, protein sequences, and…
Hidden Markov Models: A handy tool for pattern recognition
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This blog post delves into what sensitivity analysis entails, its applications, advantages, and potential limitations in the context of biomedical research.
In this blog post, we have broken down the concept of joint modeling in simple terms and explained its significance for biomedical researchers.
A handy guide to joint modeling for biomedical researchers
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In the world of biomedical research, where every piece of data holds valuable insights, statistical tools like the Method of Moments play a crucial role. By demystifying…
Understanding the Method of Moments: a handy guide for biomedical researchers
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In scientific research, statisticians and researchers continually seek the most robust and informative methods to analyze data. The integration of Bayesian and…
Navigating the best of both worlds: using both Bayesian and frequentist statistics in your study
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Interested in getting started with Bayesian statistics? Carefully selecting a prior distribution helps maintain objectivity and transparency in your Bayesian analysis…