# Tagged Questions

The design of experiments (DOE) is the study of how to structure an information-gathering exercise where variation is present. In statistics, controlled experiments are usually implied, meaning that study units are randomly assigned to conditions where levels of a variable have been independently ...

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### Unbiased estimate for treatment effect in block randomized experiment where probability of treatment varies by block

I want to analyze the results of a block randomized experiment. Within each block, units are randomized to treatment and control as if that block were a completely randomized experiment. Specifically, ...
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### using Process plugin for multiples categorial X variables (experiment)

I'm trying to use Process plugin for my full factorial plan (for my thesis) and have some questions about it: - I have a 2x2x2 factorial design and want to know if it s possible to use Process marco (...
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### Are multiple testing corrections necessary when validating against an already processed and published database?

Short version: Do I have to apply multiple testing corrections when analyzing a single variable (from a multidimensional dataset) I have previously found to be relevant and validated in the lab using ...
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### Using Monte Carlo simulations with subsequent element removal

I'm attempting to build an evaluation set for a logistic regression classifier and I've run into a statistical problem. The study involves a very large population (G) that has two properties of ...
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### Mixed factor both “within” and “between” subjects

I am wondering about experimental designs in which the levels of a factor are partly within and partly between subjects. Assume for concreteness that the experiment is as follows: The response ...
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### Is logistic regression a valid way of analyzing A/B testing results?

I'm very new to the idea of A/B testing and I want to see if my train of thought here makes sense. Suppose that I run an experiment with two designs. I get two sets of resulting data, one for each ...
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### Completly Randomized Trials versus Incomplete Cubic Lattice

I have a 2x2x2x2 design, which I wish to balance. Previously, the binary factors appeared throughout the experiment with a 50% probability, which each have to result in a uniform distribution. I am ...