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 be associated with treatment but not with outcome Should these be included or excluded Please justify your answer Variables that predict treatment status perfectly Should these be included or excluded Please justify your answer Theoretically related to treatment and outcome Should these be included or excluded Please justify your answer

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Question: 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:

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

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