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4. Choosing variables for estimating propensity scores is an important consideration when estimating causal effects in non-randomized comparisons. Consider the following statements: Variables hypothesized to

4. Choosing variables for estimating propensity scores is an important consideration when estimating causal effects in non-randomized comparisons. Consider the following statements:

  1. Variables hypothesized to be associated with treatment but not with outcome - Should these be included or excluded? Please justify your answer.
  2. Variables that predict treatment status perfectly - Should these be included or excluded? Please justify your answer.
  3. Theoretically related to treatment and outcome - Should these be included or excluded? Please justify your answer.

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