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33
Explaining to laypeople why bootstrapping works
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19
Why haven't robust (and resistant) statistics replaced classical techniques?
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17
Understanding regressions - the role of the model
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16
Does an unbalanced sample matter when doing logistic regression?
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12
Is Bayesian statistics genuinely an improvement over traditional (frequentist) statistics for behavioral research?
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11
How to interpret main effects when the interaction effect is not significant?
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11
Introduction to causal analysis
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10
Why does “explaining away” make intuitive sense?
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9
Logistic regression model does not converge
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8
How to take many samples of 10 from a large list, without replacement overall
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8
Confidence intervals for regression parameters: Bayesian vs. classical
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8
Building a linear model for a ratio vs. percentage?
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8
Recommended reading for understanding when the bootstrap will fail?
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8
Which numbers are least likely to be selected by people in a lottery?
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8
What advantages does Poisson regression have over linear regression in this case?
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7
What dependence is implied by a chi square test for independence?
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7
Most efficient order to learn LaTeX, Sweave, Beamer?
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7
What is French data analysis?
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7
When is a repeated measures ANOVA preferred over a mixed-effects model?
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7
Analyze proportions
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7
Fitting a Poisson GLM in R - issues with rates vs. counts
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7
What to do when the means of two samples are significantly different but the difference seems too small to matter
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7
Using offset in binomial model to account for increased numbers of patients
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7
Improvement of regression model
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7
Does this quantity related to independence have a name?
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6
Factor scores from discrete, ordinal responses
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6
How to draw an interaction plot with confidence intervals?
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6
Notation of estimators (tilde vs. hat)
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6
What is your favorite “data analysis” cartoon?
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6
What model should I use for this research?
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