Here is why we exist and how we want to empower our readers

From Pexels by Pixabay

We share the value proposition of Evident EBM, and present you with a helpful structure: “Logic, Methods, Commands”

By scientists, we do not mean someone in a lab with a coat and a test tube. We mean anyone who…


Linear regression in Python for Epidemiologists in 6 steps

From Pexels by Lukas

In this tutorial we will cover the following steps:

1. Open the dataset

2. Explore data

3. Make a research question (that can be answered using a linear regression model)

4. Running and reading a simple linear regression

5. Running and reading a multiple linear regression

6. Answering our research question

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

Back to Python…

1. Open the dataset

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

import numpy as np 
import pandas as pd
import statsmodels.formula.api


6 simple steps to design, run and read a logistic regression analysis

From Pexels by Lukas

In this tutorial we will cover the following steps:

1. Open the dataset

2. Explore data

3. Make a research question (that can be answered using a logistic regression model)

4. Running and reading a simple logistic regression

5. Running and reading a multiple logistic regression

6. Answering our research question

For more on descriptive analysis using RStudio check this post

1. Open the dataset

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


6 simple steps to design, run and read a logistic regression analysis

From Pexels by Lukas

In this tutorial we will cover the following steps:

1. Open the dataset

2. Explore data

3. Make a research question (that can be answered using a logistic regression model)

4. Running and reading a simple logistic regression

5. Running and reading a multiple logistic regression

6. Answering our research question

Before we get started…

For more on descriptive analysis using Stata check this post

Now, let’s roll the numbers (and open our data)!

1. Open the dataset

Let’s revisit the publically available version of the Framingham heart study from https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset/version/1


6 simple steps to design, run and read a linear regression analysis

From Pexels by Lukas

In this tutorial we will cover the following steps:

1. Open the dataset

2. Explore data

3. Make a research question (that can be answered using a linear regression model)

4. Running and reading a simple linear regression

5. Running and reading a multiple linear regression

6. Answering our research question

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

1. Open the dataset

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


6 simple steps to design, run and read a linear regression analysis

From Pexels by Lukas

In this tutorial we will cover the following steps:

1. Open the dataset

2. Explore data

3. Make a research question (that can be answered using a linear regression model)

4. Running and reading a simple linear regression

5. Running and reading a multiple linear regression

6. Answering our research question

Before we get started…

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

Now, let’s roll the numbers (and open our data)!

1. Open the dataset

Let’s revisit the publically available version of the Framingham heart study from https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset/version/1


from Pexels by Vlada Karpovich

1) Develop your pieces — A single finished project outperforms 1,000 ideas

Moving your Knight back and forth will not develop your game. You need to break…


How to plan your data analysis

by Andrea Piacquadio from Pexels

You are not alone…

This article shares some simple steps on how to plan your data analysis by anticipating what you want to “show” in the final work (manuscript, poster, oral communication, you name it!).


Why “p-value<0.05” is not enough

by Lum3n from Pexels
  1. Hypothesis testing
  2. The value of the p-value
  3. Practical limitations of the p-value
  4. How to choose the test to calculate the p-value?

1. Data distribution and description

Let’s take, for example, the height in adult men vs women. Empirically, we all…


The fundamentals behind linear regression

From Pexels by rodolfoclix

Santiago Rodrigues Manica

Physician, epidemiology enthusiast, and entrepreneur. Learning every day. Fueled by curiosity and challenges @R_M_Santiago #Lisbon

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