@@ -247,54 +247,6 @@ $$\Large w_{ATE} = \frac{Z_i}{p_i} + \frac{1-Z_i}{1 - p_i}$$
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(Z / p) + ((1 - Z) / (1 - p))
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```
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-
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-
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- ## Target estimands: ATT & ATC {background-color="#23373B"}
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-
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- . . .
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-
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- Average Treatment Effect Among the Treated (ATT)
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- $$ \Large w_{ATT} = \frac{p_i Z_i}{p_i} + \frac{p_i (1-Z_i)}{1-p_i} $$
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-
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- ``` {r}
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- #| eval: false
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- ((p * Z) / p) + ((p * (1 - Z)) / (1 - p))
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- ```
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-
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- ## Target estimands: ATT & ATC {background-color="#23373B"}
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-
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- Average Treatment Effect Among the Controls (ATC)
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- $$ \Large w_{ATC} = \frac{(1-p_i)Z_i}{p_i} + \frac{(1-p_i)(1-Z_i)}{(1-p_i)} $$
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-
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- ``` {r}
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- #| eval: false
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- (((1 - p) * Z) / p) + (((1 - p) * (1 - Z)) / (1 - p))
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- ```
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-
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- ## Target estimands: ATM & ATO {background-color="#23373B"}
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-
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- . . .
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-
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- Average Treatment Effect Among the Evenly Matchable (ATM)
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- $$ \Large w_{ATM} = \frac{\min \{p_i, 1-p_i\}}{Z_ip_i + (1-Z_i)(1-p_i)} $$
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-
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-
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- ``` {r}
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- #| eval: false
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- pmin(p, 1 - p) / (Z * p + (1 - Z) * (1 - p))
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- ```
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-
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- ## Target estimands: ATM & ATO {background-color="#23373B"}
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-
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- Average Treatment Effect Among the Overlap Population
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- $$ \Large w_{ATO} = (1-p_i)Z_i + p_i(1-Z_i) $$
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-
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-
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- ``` {r}
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- #| eval: false
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- (1 - p) * Z + p * (1 - Z)
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- ```
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-
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## Histogram of propensity scores
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``` {r}
@@ -350,6 +302,28 @@ ggplot(df, aes(.fitted)) +
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theme(legend.position = "bottom")
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```
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+ ## Target estimands: ATT & ATC {background-color="#23373B"}
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+
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+ . . .
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+
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+ Average Treatment Effect Among the Treated (ATT)
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+ $$ \Large w_{ATT} = \frac{p_i Z_i}{p_i} + \frac{p_i (1-Z_i)}{1-p_i} $$
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+
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+ ``` {r}
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+ #| eval: false
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+ ((p * Z) / p) + ((p * (1 - Z)) / (1 - p))
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+ ```
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+
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+ ## Target estimands: ATT & ATC {background-color="#23373B"}
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+
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+ Average Treatment Effect Among the Controls (ATC)
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+ $$ \Large w_{ATC} = \frac{(1-p_i)Z_i}{p_i} + \frac{(1-p_i)(1-Z_i)}{(1-p_i)} $$
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+
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+ ``` {r}
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+ #| eval: false
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+ (((1 - p) * Z) / p) + (((1 - p) * (1 - Z)) / (1 - p))
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+ ```
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+
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## ATT
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``` {r}
@@ -384,6 +358,31 @@ ggplot(df, aes(.fitted)) +
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theme(legend.position = "bottom")
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```
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+
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+ ## Target estimands: ATM & ATO {background-color="#23373B"}
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+
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+ . . .
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+
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+ Average Treatment Effect Among the Evenly Matchable (ATM)
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+ $$ \Large w_{ATM} = \frac{\min \{p_i, 1-p_i\}}{Z_ip_i + (1-Z_i)(1-p_i)} $$
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+
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+
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+ ``` {r}
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+ #| eval: false
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+ pmin(p, 1 - p) / (Z * p + (1 - Z) * (1 - p))
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+ ```
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+
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+ ## Target estimands: ATM & ATO {background-color="#23373B"}
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+
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+ Average Treatment Effect Among the Overlap Population
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+ $$ \Large w_{ATO} = (1-p_i)Z_i + p_i(1-Z_i) $$
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+
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+
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+ ``` {r}
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+ #| eval: false
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+ (1 - p) * Z + p * (1 - Z)
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+ ```
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+
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## ATM
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``` {r}
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