Most of the scientists without a programming background, trying to test their hypothesis or explore data and who are new to some *Data Science*, face the same problems… They get lost with excessive, out-of-context, detailed information, which most of the time focuses on the technical capabilities of a given software…

For tutorials about Linear Regression on R and Stata check the following articles

We are going to extract a publically available version of the Framingham heart study from; **https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset/version/1**

On this website, you can also consult the coding for the different variables. …

For more on descriptive analysis using RStudio check this post

We are going to extract a publically available version of the Framingham heart study from;

**https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset/version/1**

On this website, you can also consult the coding of the different variables. …

In previous tutorials, we approached basic descriptive statistics. Now, we will take the next step, inferential analysis using regression to study association.

In this tutorial, we will run and interpret a logistic regression analysis using Stata.

For more on descriptive analysis using Stata check this post

For more on the fundamentals behind a linear regression analysis check this post

For more on descriptive analysis using RStudio check this post

We are going to extract a publically available version of the Framingham heart study from;

**https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset/version/1**

On this website, you can also consult the coding for the…

In previous tutorials, we approached basic descriptive statistics. Now, we will take the next step, inferential analysis using regression to study association.

In this tutorial, we will run and interpret a linear regression analysis using Stata.

For more on the fundamentals behind a linear regression analysis check this post

For…

Without a strategy, you lost before you started

In my career in clinical research, I have realized, with the help of great mentors and some costly mistakes, that research is not a random game. …

You have a great research idea and you have a very broad idea of how to get the project done. However, while writing your statistical analysis plan, once again, you end up stuck in the “statistics” section. Then, you waste long hours checking GitHub and Reddit threads and watching jargon-full…

The interpretation of p-value is one of the most misunderstood subjects in science and statistics, not only by the general public but also for Academia. This leads to low-quality publications and misleading news, with a consequent distrust in Science. Just stating “p<0.05 = good” and “p-value≥0.05 …

A classic taximeter is a linear regression machine. Right after you sit on the backseat and close the door the taximeter starts doing its math.

Here, image a linear regression function, where the** xx axis **represents the distance in Km, or independent variable, and the **yy axis** represents price in…