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55 votes

What is your favorite "data analysis" cartoon?

23 votes

Most interesting statistical paradoxes

18 votes

When to use Fisher and Neyman-Pearson framework?

15 votes

Most confusing statistical terms

14 votes
Accepted

Best approach for model selection Bayesian or cross-validation?

11 votes

Difference between marginal and conditional models

10 votes

Why do we make a big fuss about using Fisher scoring when we fit a GLM?

8 votes

Computing standard error in weighted mean estimation

8 votes

Why is generalized linear model (GLM) a semi-parametric model?

7 votes
Accepted

A short question on sample variance

7 votes
Accepted

How to interpret two-way interactions in Linear Mixed Effects modeling?

7 votes

Why is logistic regression in R creating multiple coefficients for one variable?

6 votes

Experimental evidence supporting Tufte-style visualizations?

6 votes

Orthogonalized regression reference?

6 votes
Accepted

Bootstrap vs numerical integration

6 votes
Accepted

What is a "Unit Information Prior"?

5 votes
Accepted

How do I calculate single variable confidence intervals assuming different distributions with R?

5 votes
Accepted

How can I simulate new observations to a fitted model object while specifying the covariates in R?

5 votes

r :Does rpart require normalized data set for the input variable?

4 votes
Accepted

Meta-analysis in R with multiple SNPs

4 votes

Combined odds ratio

4 votes
Accepted

Significant interaction between covariate and factor in SPSS GLM

4 votes

Testing for confounding

4 votes
Accepted

Vector multiplication in BUGS and JAGS

4 votes

How well does the normal distribution perform?

4 votes

Interpreting odds ratios

3 votes

How to test for normality in a 2x2 ANOVA?

3 votes
Accepted

Profile likelihood of N in binomial model

3 votes

Welch's t-test gives worse p-value for more extreme difference

3 votes
Accepted

Visualizing many p-values