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From Pexels by Pixabay


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


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

1. Open the dataset


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…

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

1. Open the dataset


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

1. Open the dataset


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…


from Pexels by Vlada Karpovich

How to plan your data analysis

by Andrea Piacquadio from Pexels


Why “p-value<0.05” is not enough

by Lum3n from Pexels


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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