User tomka

10

25

votes

3

answers

7k

views

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

Jul 7 '17 at 1:34 Vira 1

8

18

votes

4

answers

6k

views

Does Bayes theorem hold for expectations?

bayesian mathematical-statistics

Feb 21 '17 at 2:41 Community♦ 1

10

16

votes

2

answers

17k

views

Why is the standard deviation defined as sqrt of the variance and not as the sqrt of sum of squares over N?

variance standard-deviation intuition teaching

Nov 8 '17 at 14:11 kjetil b halvorsen 39.5k

7

16

votes

3

answers

6k

views

What is the relationship between the Beta distribution and the logistic regression model?

regression logistic mathematical-statistics beta-distribution

Jan 31 '17 at 20:42 Community♦ 1

2

12

votes

1

answer

1k

views

Overdispersion and modeling alternatives in Poisson random effect models with offsets

generalized-linear-model negative-binomial glmm poisson-regression overdispersion

Jan 18 '18 at 20:06 Carl 9,157

5

12

votes

2

answers

2k

views

The $z$-test vs the $\chi^2$-test for comparing the odds of catching a cold in 2 groups

hypothesis-testing chi-squared experiment-design proportion biostatistics

Jan 20 '14 at 20:29 Community♦ 1

2

12

votes

2

answers

2k

views

How can I pool bootstrapped p-values across multiply imputed data sets?

confidence-interval variance p-value bootstrap multiple-imputation

Dec 20 '13 at 16:13 Community♦ 1

2

9

votes

1

answer

597

views

Why is the Bayesian credible interval in this polynomial regression biased whereas the confidence interval is correct?

regression logistic bayesian confidence-interval credible-interval

Sep 29 '17 at 20:51 AdamO 41.3k

2

9

votes

2

answers

370

views

What is the best way to estimate the average treatment effect in a longitudinal study?

mixed-model panel-data multilevel-analysis random-effects-model fixed-effects-model

Feb 26 '17 at 0:23 jujae 143

5

8

votes

1

answer

579

views

Which adaptive Metropolis Hastings algorithm is implemented in R package MHadaptive?

r mcmc metropolis-hastings

Jan 1 '18 at 7:11 Heisenberg 3,533

1

8

votes

5

answers

2k

views

What is the relationship between $p$ values and Type I errors [duplicate]

p-value type-i-and-ii-errors

Nov 9 '17 at 14:03 kjetil b halvorsen 39.5k

1

8

votes

1

answer

160

views

In propensity score analysis, what are options to deal with very small or large propensities?

missing-data causality propensity-scores survey-weights

Nov 24 '16 at 15:30 tomka 5,016

1

7

votes

1

answer

509

views

Is Monte Carlo cross-validation procedure valid?

machine-learning cross-validation

Feb 27 '18 at 20:31 gung - Reinstate Monica♦ 116k

3

7

votes

1

answer

7k

views

Model selection: can I compare the AIC from models of count data between linear and poisson models?

generalized-linear-model model-selection aic glmm

Feb 25 '15 at 14:56 robin.datadrivers 2,273

4

6

votes

1

answer

1k

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What is a good proposal distribution for Metropolis-Hastings for strictly positive parameters?

bayesian mcmc metropolis-hastings

Oct 26 '17 at 13:20 Xi'an 66.4k

6

votes

3

answers

2k

views

Is the Gaussian Kernel still a valid Kernel when taking the negative of the inner function?

machine-learning svm kernel-trick gaussian-process

Oct 27 '16 at 0:02 Dougal 18.2k

1

6

votes

1

answer

485

views

How should I evaluate the expectation of the ratio of two random variables?

mathematical-statistics ratio

Oct 22 '14 at 12:34 Scortchi - Reinstate Monica♦ 24.6k

2

5

votes

1

answer

68

views

What is the relationship between the Harrel's C and the AUC?

survival cox-model auc

Nov 25 at 15:25 rep_ho 3,497

5

votes

1

answer

182

views

Is there a Bayesian analogue to a simultaneous confidence band?

bayesian confidence-interval credible-interval

Nov 1 '17 at 10:44 tomka 5,016

2

5

votes

1

answer

623

views

How to make correct predictions of probabilities and their uncertainty in Bayesian logistic regression?

logistic bayesian predictive-models posterior prediction-interval

Sep 29 '17 at 13:48 jbowman 26.9k

5

votes

1

answer

1k

views

How is the optimal probability cut-off in a ROC defined by the R package Epi?

r classification roc auc

Jul 12 '17 at 13:18 Firebug 9,556

1

5

votes

1

answer

1k

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How can I obtain prediction intervals for survival prediction in the Cox model?

survival prediction cox-model proportional-hazards

Mar 20 '17 at 15:23 Community♦ 1

5

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1

answer

202

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What are the primary advantages of using Kernels in predicting continuous outcomes?

machine-learning svm kernel-trick

Oct 10 '16 at 21:59 Joseph Santarcangelo 741

1

5

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3

answers

2k

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Stepwise regression modeling using multiply imputed data sets

regression data-imputation multiple-imputation stepwise-regression mice

Aug 25 '15 at 21:08 gung - Reinstate Monica♦ 116k

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155

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Is this statement about the conditional expectation of a sum true?

distributions random-variable conditional-expectation

Jan 30 '14 at 12:36 Zen 18.8k

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2

answers

414

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Question about deriving posterior distribution from normal prior and likelihood

self-study bayesian mathematical-statistics

Oct 5 '18 at 13:41 gung - Reinstate Monica♦ 116k

1

4

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1

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199

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How to implement the sandwich estimator in a semi-parametric situation?

variance estimation optimization sandwich m-estimation

Nov 4 '16 at 23:00 Nick 199

2

4

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2

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2k

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How to derive the MLE of a Gaussian mixture distribution

self-study maximum-likelihood expectation-maximization gaussian-mixture mixture

Sep 20 '16 at 4:22 Xi'an 66.4k

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4k

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Covariance of two sample means

self-study mathematical-statistics

Jul 28 '15 at 20:39 Dilip Sarwate 33.5k

4

votes

1

answer

66

views

Testing whether error variances of two regression models are equal

regression error

Feb 25 '14 at 22:44 Eric Brady 688

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86 Questions

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

Does Bayes theorem hold for expectations?

Why is the standard deviation defined as sqrt of the variance and not as the sqrt of sum of squares over N?

What is the relationship between the Beta distribution and the logistic regression model?

Overdispersion and modeling alternatives in Poisson random effect models with offsets

The $z$-test vs the $\chi^2$-test for comparing the odds of catching a cold in 2 groups

How can I pool bootstrapped p-values across multiply imputed data sets?

Why is the Bayesian credible interval in this polynomial regression biased whereas the confidence interval is correct?

What is the best way to estimate the average treatment effect in a longitudinal study?

Which adaptive Metropolis Hastings algorithm is implemented in R package MHadaptive?

What is the relationship between $p$ values and Type I errors [duplicate]

In propensity score analysis, what are options to deal with very small or large propensities?

Is Monte Carlo cross-validation procedure valid?

Model selection: can I compare the AIC from models of count data between linear and poisson models?

What is a good proposal distribution for Metropolis-Hastings for strictly positive parameters?

Is the Gaussian Kernel still a valid Kernel when taking the negative of the inner function?

How should I evaluate the expectation of the ratio of two random variables?

What is the relationship between the Harrel's C and the AUC?

Is there a Bayesian analogue to a simultaneous confidence band?

How to make correct predictions of probabilities and their uncertainty in Bayesian logistic regression?

How is the optimal probability cut-off in a ROC defined by the R package Epi?

How can I obtain prediction intervals for survival prediction in the Cox model?

What are the primary advantages of using Kernels in predicting continuous outcomes?

Stepwise regression modeling using multiply imputed data sets

Is this statement about the conditional expectation of a sum true?

Question about deriving posterior distribution from normal prior and likelihood

How to implement the sandwich estimator in a semi-parametric situation?

How to derive the MLE of a Gaussian mixture distribution

Covariance of two sample means

Testing whether error variances of two regression models are equal