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Hidden Markov Models: A Handy Tool for Pattern Recognition

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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Navigating the best of both worlds: using both Bayesian and frequentist statistics in your study

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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Understanding sensitivity analysis and its applications in biomedical research

This blog post delves into what sensitivity analysis entails, its applications, advantages, and potential limitations in the context of biomedical research.
Understanding sensitivity analysis and its applications in biomedical research
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Understanding the Method of Moments: a handy guide for biomedical researchers

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

Using bayesian statistics in prognostic research: An overview for biomedical researchers

In this blogpost, we will explore the usefulness of Bayesian methods in prognostic research, highlight the challenges in statistical analysis, and delve into some common…
Using bayesian statistics in prognostic research: An overview for biomedical researchers

12 Key precautions for biomedical researchers analyzing longitudinal data

To ensure the validity and reliability of your findings, it's essential to take specific precautions during statistical analysis. This blogpost lists 10 key precautions…
12 Key precautions for biomedical researchers analyzing longitudinal data

8 Ways you can improve your data analysis skills as a biomedical researcher

In this blogpost, we describe some valuable strategies for biomedical researchers eager to enhance their analytical prowess.
8 Ways you can improve your data analysis skills as a biomedical researcher

Why you should embrace journal instructions even if your article will undergo copyediting

This article explores the reasons why authors should actively engage with and adhere to journal guidelines throughout the publication process.
Why you should embrace journal instructions even if your article will undergo copyediting

5 Precautions Biomedical Researchers Should Take When Analyzing Data from a Large Public Registry

Biomedical researchers can use these tips to navigate big data with the help of a biostatistician.  Researchers should to assess the data quality,…
5 Precautions Biomedical Researchers Should Take When Analyzing Data from a Large Public Registry
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Sampling methods and techniques in research: A comprehensive guide

Here we discuss how by carefully considering the various sampling methods and their respective advantages and disadvantages, you can enhance the validity and reliability…