Data Analysis

What is propensity score weighting? A quick guide for biomedical researchers

This blogpost will act like a guide for biomedical researchers by explaining the principle behind propensity score weighting along with its advantages and disadvantages.
Data Analysis

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 Bayesian methods employed in…
Data Analysis

Exploratory analysis of multi-omics datasets: A handy guide for biomedical researchers

In this blogpost, we’ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.
Data Analysis

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 Chained Equations (MICE), which…
Data Analysis

Conducting a longitudinal study? Here’s why and how you should use Bayesian methods

Read this blogpost to understand why Bayesian methods must be used to analyze longitudinal data and which of the Bayesian methods work well.
Data Analysis

10 Steps to get started with bayesian statistics in biomedical research

Many biomedical problems require intricate, multifaceted models. Bayesian statistics can handle these complexities seamlessly, allowing you to create models that reflect the real-world intricacies of…
Data Analysis

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 detail, and steps and…
Data Analysis

Efficient, cost-effective, and patient-centered: How machine learning can transform the way we conduct clinical trials

In this blogpost, we've examined how machine learning benefits various aspects of clinical trial management, from planning the study to overseeing participants and handling data.
Data Analysis

A handy guide to joint modeling for biomedical researchers

In this blog post, we have broken down the concept of joint modeling in simple terms and explained its significance for biomedical researchers.
Data Analysis

5 Things biomedical researchers need to know about correlation analysis

This infographic presents five key things biomedical researchers need to know about correlation analysis in order to produce reliable results.