User Joris Meys

281 votes

Accepted

Is normality testing 'essentially useless'?

answered Sep 8, 2010 at 22:23

49 votes

Accepted

Clustering with a distance matrix

answered Sep 16, 2010 at 12:36

43 votes

Accepted

Choosing the best model from among different "best" models

answered Oct 26, 2011 at 12:10

41 votes

What is the difference between a "nested" and a "non-nested" model?

answered Nov 19, 2010 at 12:01

31 votes

Statistical inference when the sample "is" the population

answered Sep 13, 2010 at 20:12

27 votes

Alternatives to logistic regression in R

answered Aug 31, 2010 at 15:30

26 votes

Accepted

Difference between histogram and pdf?

answered Sep 13, 2010 at 15:14

25 votes

How to draw valid conclusions from "big data"?

answered Feb 11, 2012 at 13:53

22 votes

Accepted

Binomial confidence interval estimation - why is it not symmetric?

answered Nov 19, 2010 at 12:44

22 votes

Is it meaningful to test for normality with a very small sample size (e.g., n = 6)?

answered Aug 8, 2011 at 15:46

20 votes

How to figure out the behind concept of statistical-look problems?

answered Oct 25, 2011 at 11:09

17 votes

Feature selection for "final" model when performing cross-validation in machine learning

answered Sep 2, 2010 at 11:29

16 votes

Accepted

Why does the McNemar's test use $\chi^{2}$ and not the normal distribution?

answered Nov 23, 2010 at 12:33

14 votes

Interpreting the drop1 output in R

answered Nov 17, 2010 at 16:28

14 votes

Accepted

How to store the standard errors with the lm() function in R?

answered Oct 26, 2011 at 12:57

12 votes

Accepted

Method to reliably determine abnormal statistical values

answered Nov 25, 2010 at 12:01

12 votes

Are there any examples where Bayesian credible intervals are obviously inferior to frequentist confidence intervals

answered Sep 3, 2010 at 20:24

12 votes

Accepted

How to explain such a big difference between parametric and non parametric test (and other questions)?

answered Sep 13, 2010 at 14:58

11 votes

Can chi square be used to compare proportions?

answered Apr 19, 2011 at 14:48

9 votes

Are large data sets inappropriate for hypothesis testing?

answered Sep 10, 2010 at 10:03

9 votes

How do you explain the difference between relative risk and absolute risk?

answered Jun 1, 2012 at 11:37

9 votes

Accepted

How to calculate estimated proportions and their confidence intervals from a mixed model?

answered Nov 26, 2013 at 12:11

8 votes

Change confidence risk of chisq

answered Dec 17, 2013 at 12:03

8 votes

How do we create a confidence interval for the parameter of a permutation test?

answered Aug 31, 2010 at 15:55

8 votes

Goodness-of-fit test using Kolmogorov-Smirnov

answered Mar 25, 2011 at 12:29

6 votes

Segmented nonlinear regression in R?

answered Jun 29, 2011 at 10:43

6 votes

Comparing two cumulative density functions

answered Nov 19, 2010 at 12:53

6 votes

How do I get people to take better care of data?

answered Oct 22, 2010 at 12:28

6 votes

What is the difference between controlling by dividing by a variable, and inserting it as a predictor?

answered Dec 6, 2016 at 13:54

4 votes

Distance between empirically generated distributions (in R)

answered Oct 4, 2010 at 16:33

Stack Exchange Network

42 Answers

Is normality testing 'essentially useless'?

Clustering with a distance matrix

Choosing the best model from among different "best" models

What is the difference between a "nested" and a "non-nested" model?

Statistical inference when the sample "is" the population

Alternatives to logistic regression in R

Difference between histogram and pdf?

How to draw valid conclusions from "big data"?

Binomial confidence interval estimation - why is it not symmetric?

Is it meaningful to test for normality with a very small sample size (e.g., n = 6)?

How to figure out the behind concept of statistical-look problems?

Feature selection for "final" model when performing cross-validation in machine learning

Why does the McNemar's test use $\chi^{2}$ and not the normal distribution?

Interpreting the drop1 output in R

How to store the standard errors with the lm() function in R?

Method to reliably determine abnormal statistical values

Are there any examples where Bayesian credible intervals are obviously inferior to frequentist confidence intervals

How to explain such a big difference between parametric and non parametric test (and other questions)?

Can chi square be used to compare proportions?

Are large data sets inappropriate for hypothesis testing?

How do you explain the difference between relative risk and absolute risk?

How to calculate estimated proportions and their confidence intervals from a mixed model?

Change confidence risk of chisq

How do we create a confidence interval for the parameter of a permutation test?

Goodness-of-fit test using Kolmogorov-Smirnov

Segmented nonlinear regression in R?

Comparing two cumulative density functions

How do I get people to take better care of data?

What is the difference between controlling by dividing by a variable, and inserting it as a predictor?

Distance between empirically generated distributions (in R)