User mribeirodantas

12 votes

Is Propensity Score Matching a "MUST" for Scientific Studies?

answered Jan 7, 2022 at 4:38

9 votes

Do we actually take random line in first step of linear regression?

answered Dec 14, 2021 at 15:19

7 votes

Does it make sense for a partial correlation to be larger than a zero-order correlation?

answered Dec 10, 2021 at 11:24

7 votes

Accepted

Difference between exchangeability and independence in causal inference

answered Dec 23, 2021 at 22:24

4 votes

Causal inference where potential outcome is somehow "violated"?

answered Dec 13, 2021 at 20:48

3 votes

Why is a regression coefficient covariance/variance

answered Dec 12, 2021 at 20:34

3 votes

Accepted

What's the difference between Pearson correlation, Spearman correlation and regression?

answered Dec 11, 2021 at 17:52

3 votes

How to identify number of vertices, edges and weights in a cellular network

answered Dec 16, 2021 at 19:38

2 votes

Accepted

three sigma vs six sigma

answered Dec 22, 2021 at 11:27

2 votes

If A is associated with B, is the contrary also true?

answered Dec 22, 2021 at 21:43

2 votes

Causal Inference in a Bayesian Network with unobservable backdoor and no frontdoor

answered Dec 24, 2021 at 2:13

2 votes

Why are $X$ and $Y$ in this graph d-separated given $Z_2$?

answered Dec 11, 2021 at 1:33

2 votes

Why do we need identification in causal inference?

answered Dec 11, 2021 at 1:42

2 votes

For intuition, what are some real life examples of uncorrelated but dependent random variables?

answered Dec 13, 2021 at 16:45

2 votes

Partial correlation and multiple regression controlling for categorical variables

answered Dec 11, 2021 at 20:11

2 votes

Why a path in a causal graph can have edges not all with the same direction?

answered Dec 16, 2021 at 13:21

1 vote

Can the Response Variable ever be used in Clustering?

answered May 1, 2022 at 20:10

1 vote

random sampling with replacement of variables, not just cases

answered Dec 11, 2021 at 12:53

1 vote

Accepted

Is the physical impact / effect necessarily the independent variable / dependent variable of the regression model

answered Dec 15, 2021 at 15:25

1 vote

Are all statistical models also causal models?

answered Dec 11, 2021 at 11:08

1 vote

I have done a correlation in R and I'm unsure on the output?

answered Dec 27, 2021 at 16:36

1 vote

Accepted

Why would my R Squared increase AND my RMSE increase when I add more variables to a model?

answered Dec 31, 2021 at 0:37

1 vote

What correlation test can I use for non-normal and binary data?

answered Dec 31, 2021 at 13:45

1 vote

Interpreting the p-value in Spearman's rank correlation

answered Jan 10, 2022 at 18:18

1 vote

When is a Control a Bad Control Exactly

answered Jan 11, 2022 at 20:18

1 vote

Accepted

Condition for covariance matrix to be non-invertible

answered Dec 17, 2021 at 0:50

1 vote

Accepted

Does it make sense to have KL divergence between 2 distributions associated with 2 different random variables?

answered Dec 17, 2021 at 9:27

1 vote

Accepted

Conditional independence tests not respecting d-separation

answered Dec 19, 2021 at 1:53

1 vote

correlation vs regression coefficients to ascertain the most important independent variables as they relate to the dependent variable?

answered Dec 21, 2021 at 20:13

0 votes

Can someone explain why Bayesian networks are called "Bayesian"

answered Dec 16, 2021 at 22:33

Stack Exchange Network

37 Answers

Is Propensity Score Matching a "MUST" for Scientific Studies?

Do we actually take random line in first step of linear regression?

Does it make sense for a partial correlation to be larger than a zero-order correlation?

Difference between exchangeability and independence in causal inference

Causal inference where potential outcome is somehow "violated"?

Why is a regression coefficient covariance/variance

What's the difference between Pearson correlation, Spearman correlation and regression?

How to identify number of vertices, edges and weights in a cellular network

three sigma vs six sigma

If A is associated with B, is the contrary also true?

Causal Inference in a Bayesian Network with unobservable backdoor and no frontdoor

Why are $X$ and $Y$ in this graph d-separated given $Z_2$?

Why do we need identification in causal inference?

For intuition, what are some real life examples of uncorrelated but dependent random variables?

Partial correlation and multiple regression controlling for categorical variables

Why a path in a causal graph can have edges not all with the same direction?

Can the Response Variable ever be used in Clustering?

random sampling with replacement of variables, not just cases

Is the physical impact / effect necessarily the independent variable / dependent variable of the regression model

Are all statistical models also causal models?

I have done a correlation in R and I'm unsure on the output?

Why would my R Squared increase AND my RMSE increase when I add more variables to a model?

What correlation test can I use for non-normal and binary data?

Interpreting the p-value in Spearman's rank correlation

When is a Control a Bad Control Exactly

Condition for covariance matrix to be non-invertible

Does it make sense to have KL divergence between 2 distributions associated with 2 different random variables?

Conditional independence tests not respecting d-separation

correlation vs regression coefficients to ascertain the most important independent variables as they relate to the dependent variable?

Can someone explain why Bayesian networks are called "Bayesian"