User EdM

40 votes

Accepted

Is it true that the percentile bootstrap should never be used?

confidence-interval bootstrap

answered Jul 17, 2018 at 2:02

40 votes

Accepted

Why is the logistic distribution called "logistic"?

answered Jan 28, 2016 at 22:09

37 votes

How much lung cancer is really caused by smoking?

epidemiology population-attributable-fraction

answered Jun 8, 2018 at 19:24

34 votes

Accepted

Is it possible to interpret the bootstrap from a Bayesian perspective?

bayesian bootstrap

answered Oct 3, 2013 at 19:13

31 votes

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In Regression Analysis, why do we call independent variables "independent"?

regression terminology predictor

answered Jul 18, 2018 at 12:03

29 votes

Accepted

predict() Function for lmer Mixed Effects Models

r mixed-model lme4-nlme

answered Sep 25, 2015 at 23:07

25 votes

Accepted

The order of variables in ANOVA matters, doesn't it?

regression hypothesis-testing anova unbalanced-classes sums-of-squares

answered May 18, 2016 at 21:29

24 votes

Fitting known equation to data

r optimization curve-fitting nonlinear

answered Sep 4, 2015 at 23:52

21 votes

Accepted

Ridge\Lasso -- Standardization of dummy indicators

categorical-data predictive-models lasso normalization standardization

answered Jul 27, 2018 at 14:49

21 votes

Accepted

Ridge regression in R with p values and goodness of fit

r p-value r-squared ridge-regression

answered Sep 7, 2015 at 16:05

19 votes

Are all models useless? Is any exact model possible -- or useful?

machine-learning maximum-likelihood modeling nonparametric targeted-maximum-likelihood

answered May 3, 2016 at 22:50

16 votes

Accepted

Calculating F-Score, which is the "positive" class, the majority or minority class?

machine-learning classification

answered Jan 27, 2016 at 16:49

16 votes

Accepted

When we plot data and then use nonlinear transformations in a regression model are we data-snooping?

regression machine-learning modeling model-selection bias

answered Aug 22, 2020 at 16:23

15 votes

Accepted

Why lasso for feature selection?

feature-selection linear-model lasso ridge-regression

answered Sep 16, 2018 at 16:21

15 votes

Accepted

Why do p-values change in significance when changing the order of covariates in the aov model?

r anova

answered May 15, 2016 at 18:31

15 votes

Accepted

LASSO with interaction terms - is it okay if main effects are shrunk to zero?

machine-learning lasso glmnet regularization

answered Nov 14, 2016 at 21:21

15 votes

Calculating p values for data that is less than 1

t-test p-value

answered Dec 1, 2016 at 16:41

15 votes

For linear classifiers, do larger coefficients imply more important features?

regression machine-learning classification feature-selection linear-model

answered Mar 21, 2016 at 18:57

15 votes

Accepted

How much missing data is too much? Multiple Imputation (MICE) & R

r missing-data

answered May 1, 2015 at 16:23

15 votes

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Why is it OK to model demographics as random effects in bayesian multilevel models?

bayesian multilevel-analysis random-effects-model

answered Jul 15, 2020 at 16:59

14 votes

Accepted

I've already used my entire dataset in a regression, should I not use that as a prediction model?

multiple-regression modeling train train-test-split

answered Oct 25, 2021 at 19:46

14 votes

What are the worst (commonly adopted) ideas/principles in statistics?

inference teaching philosophical

answered Jul 10, 2020 at 12:47

13 votes

How to obtain Confidence Intervals for a LASSO regression?

regression confidence-interval lasso glmnet

answered Apr 10, 2019 at 16:27

13 votes

How to handle NA values in shrinkage (Lasso) method using glmnet

missing-data lasso glmnet

answered May 13, 2015 at 17:58

13 votes

Accepted

Bootstrap methodology. Why resample "with replacement" instead of random subsampling?

bootstrap resampling subsampling

answered Sep 7, 2015 at 14:41

12 votes

log mean vs mean log in statistics

mean logarithm

answered Dec 7, 2016 at 15:49

12 votes

(Sudden deafness ended?) How can I better communicate -and did I find- a major (conclusion-flipping) statistical error in a recently published paper?

time-series probability hypothesis-testing statistical-significance missing-data

answered Aug 22, 2021 at 20:32

12 votes

Accepted

Family-wise error boundary: Does re-using data sets on different studies of independent questions lead to multiple testing problems?

hypothesis-testing multiple-comparisons

answered Aug 22, 2015 at 21:10

12 votes

Accepted

Combining principal component regression and stepwise regression

regression pca stepwise-regression

answered Jun 30, 2015 at 23:29

12 votes

Accepted

How to cross validate stepwise logistic regression?

logistic cross-validation feature-selection

answered Jul 23, 2015 at 19:10

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2,223 Answers

Is it true that the percentile bootstrap should never be used?

Why is the logistic distribution called "logistic"?

How much lung cancer is really caused by smoking?

Is it possible to interpret the bootstrap from a Bayesian perspective?

In Regression Analysis, why do we call independent variables "independent"?

predict() Function for lmer Mixed Effects Models

The order of variables in ANOVA matters, doesn't it?

Fitting known equation to data

Ridge\Lasso -- Standardization of dummy indicators

Ridge regression in R with p values and goodness of fit

Are all models useless? Is any exact model possible -- or useful?

Calculating F-Score, which is the "positive" class, the majority or minority class?

When we plot data and then use nonlinear transformations in a regression model are we data-snooping?

Why lasso for feature selection?

Why do p-values change in significance when changing the order of covariates in the aov model?

LASSO with interaction terms - is it okay if main effects are shrunk to zero?

Calculating p values for data that is less than 1

For linear classifiers, do larger coefficients imply more important features?

How much missing data is too much? Multiple Imputation (MICE) & R

Why is it OK to model demographics as random effects in bayesian multilevel models?

I've already used my entire dataset in a regression, should I not use that as a prediction model?

What are the worst (commonly adopted) ideas/principles in statistics?

How to obtain Confidence Intervals for a LASSO regression?

How to handle NA values in shrinkage (Lasso) method using glmnet

Bootstrap methodology. Why resample "with replacement" instead of random subsampling?

log mean vs mean log in statistics

(Sudden deafness ended?) How can I better communicate -and did I find- a major (conclusion-flipping) statistical error in a recently published paper?

Family-wise error boundary: Does re-using data sets on different studies of independent questions lead to multiple testing problems?

Combining principal component regression and stepwise regression

How to cross validate stepwise logistic regression?