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Binomial GLM for attracting large mammal from presence/absence data

You shouldn't do model selection (ie. use AIC or ANOVA F-test) to decide whether to keep or drop the interaction term. From a science point of view: You started the investigation with the hypothesis ...
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Confidence interval in logistic regression when probability of success is 1

Well, this is kind of a fact of life for logit models. A probability of 1 comes out as $+\infty$ on the logit scale, and it's pretty hard to construct a confidence interval around that. If you regrid ...
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Average Sample Size For Curtailed Double Sampling Plan

This comes down to an analysis of "curtailment" (which is a simplified version of sequential sampling). Let's focus on that first. Because I think your reference is incorrect, I will be ...
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normal approximation to the binomial distribution: why np>5?

To fill in some details for the answer by @GeoMatt22: Consider a binomial random variable with parameters $n$ and $p$, so that its mean $\mu=np$ and its variance $\sigma^2=np(1-p)$. For a number $z$ ...
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Is the mean of the left-truncated binomial distribution convex in p?

Since the function of interest is defined over a continuum of real values of $p$ you can check its convexity using standard calculus methods. Consider a general ratio function: $$f(p) = \frac{g(p)}{h(...
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When calculating the likelihood ratio for 50 heads of 100 coin tosses. What probability should I use for a biased coin?

Your question is from the coursera course "Improving your statistical inferences" by Daniel Lakens. In the instruction PDF on the previous lecture there is more information, which is missing ...
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Reporting odds ratios from a (non-logistic) binomial regression

From the question and comments, this is simply a binomial logistic regression, as @jwimberley suggests in a comment. You are modeling the probability of attending a counseling session, with each ...
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