[Hands-on causal inference] (3): Target test and standard method

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[Hands-on causal inference] (3): Target test and standard method

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[Hands-on causal inference] (3): Target test and standard method
1. Randomized trials
2. Target Trials
3. Use group_by() and summary() for causal inference
4. When do standard methods work and when do they fail?
- 4.1 When correlation is causation

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Answering causal questions is critical to scientific research and business analysis, but techniques such as randomized clinical trials and A/B testing are not always practical. In this paper, R is used to perform causal inference on observational data.

1. Randomized trials

A randomized trial is a trial that randomly assigns causes of interest.

Why does randomization help?

First, randomized trials by default address consistent and well-defined exposures—exposures are precisely randomized.
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Origin blog.csdn.net/weixin_45052363/article/details/132701128

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