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]]>Note: Some of the examples require additional libraries like amsmath and I haven’t figured out yet how to take advantage of these libraries in R Markdown.

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]]>Anyway, they decided to end the study (good call!) and wanted to know what they should do with the data that they had already collected. There were three options that they were considering (I’m paraphrasing a bit here).

- Analyze the study as originally planned, including a classic test of hypothesis for the primary outcome.
- Call this a pilot study and provide descriptive analyses only.
- Recognize that the data is so fatally flawed that any analysis of the data would be inappropriate.

This is what I suggested.

If you stop a study early because of reasons that are related to the p-value that you are seeing, (either so large that you don’t see a good reason to move forward, or so small that you can longer justify randomizing patien