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An introduction to multiple imputation by chained equations for biomedical researchers

Biomedical research often deals with complex phenomena, and missing values can throw a wrench into our data analyses. This blogpost explains Multiple Imputation by…
An introduction to multiple imputation by chained equations for biomedical researchers

Using bayesian methods for data cleaning: A guide for biomedical researchers

We''ll take you into the world of Bayesian methods and how they can be your secret weapon for efficient and effective data cleaning.
Using bayesian methods for data cleaning: A guide for biomedical researchers

Authors and copyeditors: A tale of two approaches

The author and the copyeditor play equally important roles in the publication process. By working together, the author and the copyeditor can produce high-quality…
Authors and copyeditors: A tale of two approaches

Analyzing clustered data: What biomedical researchers need to know

This blogpost explains some key considerations for analyzing clustered data, along with common approaches and their advantages and disadvantages.
Analyzing clustered data: What biomedical researchers need to know

Unpacking basket trials in biomedical research: A how-to guide 

In this blog post, we’ll explore what basket trials are, their significance, and the crucial considerations for statistical analysis within this innovative framework. 
Unpacking basket trials in biomedical research: A how-to guide 

Post-acceptance copyediting for native English-speaking authors

Since post-acceptance copyediting is usually the last stage in the publication cycle, it provides an opportunity to identify and rectify any language-related errors or…
Post-acceptance copyediting for native English-speaking authors

5 Tools to make meta-analysis easier for biomedical researchers

This article sheds light on various tools tailored for biomedical researchers, each equipped with unique features and functionalities.
5 Tools to make meta-analysis easier for biomedical researchers

6 Common mistakes made by biomedical researchers while testing the relationships between variables

Relationships between variables are tested using correlation, association, or regression analysis. In this post, we’ve looked at some important precautions for such…
6 Common mistakes made by biomedical researchers while testing the relationships between variables

An introduction to Bayesian Information Borrowing for biomedical researchers

Bayesian information borrowing allows you to leverage existing knowledge from related studies or domains. Read this post to understand Bayesian information borrowing in…
An introduction to Bayesian Information Borrowing for biomedical researchers

From novice to ninja: How working with a biostatistician can boost your own statistical expertise

This post is about all the ways in which a biostatistician can boost your statistical abilities, empowering you to design studies and analyze data with confidence.