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37
How much lung cancer is really caused by smoking?
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34
Why is the logistic distribution called “logistic”?
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30
Is it possible to interpret the bootstrap from a Bayesian perspective?
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29
In Regression Analysis, why do we call independent variables “independent”?
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24
predict() Function for lmer Mixed Effects Models
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21
Fitting known equation to data
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20
Is it true that the percentile bootstrap should never be used?
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16
The order of variables in ANOVA matters, doesn't it?
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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
Calculating p values for data that is less than 1
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15
Ridge regression in R with p values and goodness of fit
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14
Are all models useless? Is any exact model possible — or useful?
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12
How to cross validate stepwise logistic regression?
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11
How to handle NA values in shrinkage (Lasso) method using glmnet
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11
Combining principal component regression and stepwise regression
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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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11
For linear classifiers, do larger coefficients imply more important features?
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11
Can simple linear regression be done without using plots and linear algebra?
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10
Categorizing Continuous Random Variable in Logistic Regression
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10
LASSO with interaction terms - is it okay if main effects are shrunk to zero?
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10
Calculating F-Score, which is the “positive” class, the majority or minority class?
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10
Is this really how p-values work? Can a million research papers per year be based on pure randomness?
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10
Family-wise error boundary: Does re-using data sets on different studies of independent questions lead to multiple testing problems?
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9
High concordance in cox PH model even though PH assumption is violated
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9
coxph ran out of iterations and did not converge
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9
Are we exaggerating importance of model assumption and evaluation in an era when analyses are often carried out by laymen
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9
Bootstrap methodology. Why resample “with replacement” instead of random subsampling?
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9
Significance in simple regression but not multiple regression
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9
Is each of the PCA or PLS components just one of the original variables?
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8
What are variable importance rankings useful for?
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