# All Questions

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### hurdle model with negative binomial distribution of counts - error message and model selection

I'm working with over-dispersed count data, which is zero inflated (~2/3 zeros). I've fit a hurdle model using hurdle from ...
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### Measuring length of intervention effect

I ran a study in which participants were randomized to either a control or an intervention, with outcomes in the form of time-to-event data. While overall time-to-event is shorter in the intervention ...
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### Confidence interval for observational study

I recorded hand hygiene type for 500 nurses following 500 episodes of care. I now have a probability for each type of hygiene method: Alcohol gel, Soap, Gloves, None. But how do I calculate a ...
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### Naive bayes with duplicated data

In the training set for naive bayes, there are some duplicate samples. Should we train the naive bayes with duplicate samples, or should we eliminate all the duplicates and then train the naive bayes. ...
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### Comparison of frequency rates

Patients with chronic schizophrenia will take some antipsychotic drug during some period of time. The frequency of schizophrenia for each patient will be recorded before and after that period. I ...
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### Missing values with Community structure in networks?

Is there a way to predict Missing values with Community structure in networks? I have a data set with a couple dozen variables, such as age, level of education, self-assessed (via a Likert scale) ...
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### Local polynomial regression: Why does the variance increase monotonically in the degree?

How can I show that the variance of local polynomial regression is increasing with the degree of the polynomial (Exercise 6.3 in Elements of Statistical Learning, second edition)? This question has ...
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### Inverted nonparametric rank test

I have two related samples, for which I want to prove they are not significantly different (normally you would test for the opposite, i.e. samples are significantly different). If I use Wilcoxon ...
I am trying to have an in depth understanding of predicting the value of a random variable given additional information. Suppose that $Y$ in $R$ and and $X$ in $R^n$. We would like to have a best ...