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.
Data Analysis

Analyzing time-to-event data: What biomedical researchers need to know

Analyzing time-to-event data is crucial in understanding the progression and outcomes of diseases, treatment effectiveness, and more. Here are some important considerations for statistical analysis…
Data Analysis

Bayesian Models in Survival Analysis: An Overview

This blogpost explains in detail what Bayesian statistics is, what is its use in survival analysis, and pros and cons of using different bayesian models.
Data Analysis

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 for biomedical researchers…
Data Analysis

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.
Data Analysis

INFOGRAPHIC: 5 Popular statistical tests for count data

In the context of biomedical research, count data can be thought of as the number of times an event of interest occurs within a defined sample or population. This infographic states the 5 most…
Data Analysis

Statistical approaches for analyzing imaging data: An overview

Researchers employ statistical approaches, including machine and deep learning approaches. These methods help researchers and healthcare professionals make accurate diagnoses, understand disease…
Data Analysis

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.