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1. When do you expect to see different results from running logistic versus c-loglog models? 2. In what ways matching methods can prove to be

1. When do you expect to see different results from running logistic versus c-loglog models?

2. In what ways matching methods can prove to be advantageous over regression model in

controlling overt bias?

3. What is the advantage of regression methods over matching estimators when the

regression model is correctly specified?

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