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37
How much lung cancer is really caused by smoking?
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37
Why is the logistic distribution called “logistic”?
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33
Is it possible to interpret the bootstrap from a Bayesian perspective?
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30
Is it true that the percentile bootstrap should never be used?
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30
In Regression Analysis, why do we call independent variables “independent”?
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27
predict() Function for lmer Mixed Effects Models
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23
Fitting known equation to data
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21
The order of variables in ANOVA matters, doesn't it?
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17
Are all models useless? Is any exact model possible — or useful?
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17
Ridge regression in R with p values and goodness of fit
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15
Calculating p values for data that is less than 1
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15
Why do p-values change in significance when changing the order of covariates in the aov model?
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15
Why is it OK to model demographics as random effects in bayesian multilevel models?
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14
LASSO with interaction terms - is it okay if main effects are shrunk to zero?
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14
Calculating F-Score, which is the “positive” class, the majority or minority class?
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13
Why lasso for feature selection?
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13
When we plot data and then use nonlinear transformations in a regression model are we data-snooping?
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13
For linear classifiers, do larger coefficients imply more important features?
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12
How to handle NA values in shrinkage (Lasso) method using glmnet
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12
How to cross validate stepwise logistic regression?
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12
How to obtain Confidence Intervals for a LASSO regression?
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12
Bootstrap methodology. Why resample “with replacement” instead of random subsampling?
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12
Why significant variable doesn't improve model performance?
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11
Combining principal component regression and stepwise regression
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11
Can simple linear regression be done without using plots and linear algebra?
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11
What are the worst (commonly adopted) ideas/principles in statistics?
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11
Are transformations to Data bad for Linear Regression model?
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11
Is it ever a good idea to give “partial credit” (continuous outcome) in training a logistic regression?
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10
Lasso regression coefficients values
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10
Ridge\Lasso — Standardization of dummy indicators
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