User Frans Rodenburg

63 votes

Famous easy to understand examples of a confounding variable invalidating a study

answered Oct 24, 2019 at 5:28

44 votes

What is Bayes Error in machine learning?

machine-learning deep-learning terminology

answered Sep 13, 2017 at 9:53

38 votes

Accepted

Can a confounding factor hide a possible causal relationship? (as opposed to find a spurious one)

causality confounding spurious-correlation omitted-variable-bias

answered Apr 27, 2020 at 9:45

30 votes

When does Fisher's "go get more data" approach make sense?

hypothesis-testing p-value intuition philosophical

answered Jul 15, 2019 at 6:29

25 votes

Accepted

if 2 random variables have exactly same mean and variance

distributions mathematical-statistics variance expected-value moments

answered Nov 16, 2017 at 1:49

22 votes

Accepted

What is a robust statistical test? What is a powerful statistical test?

statistical-significance statistical-power robust

answered Nov 8, 2017 at 4:50

18 votes

Accepted

T-test, ANOVA or Regression, what's the difference?

regression anova t-test analysis-of-means

answered Apr 17, 2019 at 9:13

17 votes

Visually interesting statistics concepts that are easy to explain

self-study data-visualization

answered Mar 4, 2020 at 3:08

17 votes

Can increasing the amount of training data make overfitting worse?

machine-learning neural-networks validation overfitting train

answered Nov 14, 2019 at 8:57

12 votes

Are the data in this figure normally distributed?

distributions normal-distribution normality-assumption distribution-identification

answered Aug 17, 2018 at 6:15

11 votes

Exponential-like distribution with support [0,1]

probability distributions

answered Sep 17, 2020 at 5:15

10 votes

Accepted

When should I use Validation rather than Cross Validation

machine-learning cross-validation model-selection validation out-of-sample

answered Nov 3, 2019 at 2:36

10 votes

Accepted

Comparing two regressions models by looking at $R^2$

regression goodness-of-fit r-squared

answered Oct 11, 2017 at 1:52

10 votes

Why bootstrapping?

bootstrap

answered Oct 29, 2018 at 6:35

10 votes

Accepted

How to use press statistic for model selection

regression cross-validation model-evaluation

answered May 28, 2019 at 13:07

9 votes

How can I check if my data-frame is normally distributed in R?

normal-distribution normalization qq-plot

answered Jul 1, 2019 at 8:58

9 votes

What is the conjugate prior distribution?

distributions bayesian prior

answered Sep 29, 2018 at 6:51

8 votes

Accepted

Family-wise Type I error OLS regression

regression multiple-comparisons type-i-and-ii-errors

answered Jun 30, 2019 at 22:00

8 votes

Accepted

Can I ignore the negative R-squared value when I am using instrumental variable regression?

r goodness-of-fit r-squared instrumental-variables endogeneity

answered Aug 9, 2019 at 3:19

8 votes

Why do I see a pattern in the residuals in this well specified model?

least-squares residuals assumptions diagnostic

answered May 20, 2021 at 18:16

7 votes

Accepted

Flawed multiple linear regression in academia? Heteroscedasticity's effect on p-value?

r multiple-regression linear heteroscedasticity truncation

answered May 21, 2021 at 15:00

7 votes

Interaction term is significant WITHOUT main affects... AND main effects are significant WITHOUT interaction term?

r regression statistical-significance interaction linear-model

answered Oct 24, 2019 at 0:29

7 votes

Can K-fold cross validation cause overfitting?

cross-validation overfitting

answered Jul 9, 2019 at 4:26

7 votes

Test to know when to use GLM over Linear Regression?

multiple-regression generalized-linear-model

answered Sep 15, 2019 at 3:41

6 votes

Is the absolute value of a stationary series also stationary?

time-series data-transformation stationarity

answered Jun 4, 2019 at 7:22

6 votes

Accepted

What variables need to be controlled for in regression?

regression hypothesis-testing correlation psychology

answered Nov 20, 2017 at 6:35

6 votes

Accepted

Issue with the results of PCA component values

machine-learning pca data-transformation dimensionality-reduction

answered Aug 5, 2018 at 4:58

6 votes

Accepted

How to account for multiple measurements of same person in either two-group comparision or regression?

regression mixed-model clustering multilevel-analysis assumptions

answered Aug 15, 2018 at 6:30

6 votes

Accepted

What does "the denominator does not contain any theta dependence" mean in Bayes' Rule?

bayesian mathematical-statistics definition integral

answered Dec 1, 2019 at 11:48

5 votes

Accepted

Is a regression using a categorical variable a multiple regression by definition?

regression anova multiple-regression predictive-models terminology

answered Nov 27, 2019 at 10:50

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202 Answers

Famous easy to understand examples of a confounding variable invalidating a study

What is Bayes Error in machine learning?

Can a confounding factor hide a possible causal relationship? (as opposed to find a spurious one)

When does Fisher's "go get more data" approach make sense?

if 2 random variables have exactly same mean and variance

What is a robust statistical test? What is a powerful statistical test?

T-test, ANOVA or Regression, what's the difference?

Visually interesting statistics concepts that are easy to explain

Can increasing the amount of training data make overfitting worse?

Are the data in this figure normally distributed?

Exponential-like distribution with support [0,1]

When should I use Validation rather than Cross Validation

Comparing two regressions models by looking at $R^2$

Why bootstrapping?

How to use press statistic for model selection

How can I check if my data-frame is normally distributed in R?

What is the conjugate prior distribution?

Family-wise Type I error OLS regression

Can I ignore the negative R-squared value when I am using instrumental variable regression?

Why do I see a pattern in the residuals in this well specified model?

Flawed multiple linear regression in academia? Heteroscedasticity's effect on p-value?

Interaction term is significant WITHOUT main affects... AND main effects are significant WITHOUT interaction term?

Can K-fold cross validation cause overfitting?

Test to know when to use GLM over Linear Regression?

Is the absolute value of a stationary series also stationary?

What variables need to be controlled for in regression?

Issue with the results of PCA component values

How to account for multiple measurements of same person in either two-group comparision or regression?

What does "the denominator does not contain any theta dependence" mean in Bayes' Rule?

Is a regression using a categorical variable a multiple regression by definition?