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10 things biomedical researchers need to know when conducting simulation studies

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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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

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.
What is propensity score weighting? A quick 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

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

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…
10 Steps to get started with bayesian statistics in biomedical research

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

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

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

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.