Logistic regression Flashcards

1
Q

Core Idea of a logistic regression

A

What factors influence that something happens or not

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Logistic regression assumes a ________ distribution

A

Binomial

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is the outcome variable in this type of multiple regression?

A

Binomial (could be more than 2 terms). Categorical broadly speaking.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Logistic Regression definition

A

Is a regression model. Specifically is a multiple regression

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is predicted in a logistic regression?

A

The logarithmic odds of our probability of getting a 1 or a 0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Interpretation of betas in a logistic regression

A

They are interpreted as the change in the log odds for every unit increase in our predictor variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

We use a logistic regression when

A

We have a binomial outcome variable and the outcome is also discrete

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Multinomial Logistic Regression

A

Is a logistic regression regression where the outcome variable is multinomial; instead of yes/no you have yes/no/maybe

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Iterative method

A

Refers to the method a logistic regression uses to determine the combination of betas that give the MAXIMUM LIKELIHOOD SOLUTION

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

MLE

A

Is the Maximum Likelihood Estimation, the computation of the best formula / line that maximize the likelihood.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Assymptotes

A

A function of a relationship that approaches but never reaches 1 or 0. Meaning that it tends to infinity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

What does predictors do to the outcome variable

A

They change the log odds of an event to happen or not happen

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What does the intercept mean?

A

Is the log odds of getting lung cancer (outcome variable) for the 0 condition

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Logistic function in a logistic function

A

We turn log odds into odds by using this inverse function to get probabilities

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Issues of a logistic regression

A

Overdispersion
Outliers
Separability

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Backtransformation of a logistic regression

A

Doing the inverse of a logit link function is a logistic

17
Q

Reason why we backtransform

A

Odds can never be negative

18
Q

Logistic regression assumes violation on this assumption

A

Homogeneity of variace :D

19
Q

R square problems

A

Not good because they assume homogeneity of variance

20
Q

Two types of chi square

A

Wald

Likelihood ratio

21
Q

When looking at a plot how do you know you are in log odds or probability?

A

If your y axis includes negative values or values greater than 0s is log odds. If it goes from 0 to 1 is probability