Skip to main content
. Author manuscript; available in PMC: 2022 Jun 23.
Published in final edited form as: Ann Appl Stat. 2021 Mar 18;15(1):412–436. doi: 10.1214/20-aoas1397

Table 5.

Simulated Linking Variables, Covariates, and Outcomes

Linking Variables f(ZA) f(ZB)
Age N(50,52) N(45, 102)
Gender Bernoulli(0.5) Bernoulli(0.5)
ZIP Code 1st Digit ~Discrete Uniform(6) 1st Digit ~Discrete Uniform(6)
2nd Digit ~Discrete Uniform(7) 2nd Digit ~Discrete Uniform(7)
3rd Digit ~Discrete Uniform(7) 3rd Digit ~Discrete Uniform(7)
4th Digit ~Discrete Uniform(7) 4th Digit ~Discrete Uniform(7)
f(XA) l : Cl > 0 l : Cl = 0
Prior Hospitalization Poisson(1) Poisson(0.75)
Prior Log-Healthcare Cost N(10,32) N(6,42)
Outcome Type τ ATT f(Y(1)∣XA, ZA)
Continuous 0 N(7.95-0.7*Gender+0.4*PriorHosp+.2*PriorCost, 0.1)
Continuous 0.05 N(8.00-0.7*Gender+0.4*PriorHosp+.2*PriorCost, 0.1)
Continuous 0.10 N(8.05-0.7*Gender+0.4*PriorHosp+.2*PriorCost, 0.1)
Count 0 Poisson(exp(0.3431-0.7*Gender+0.2*PriorHosp+0.05*PriorCost))
Count 0.15 Poisson(exp(0.4155-0.7*Gender+0.2*PriorHosp+0.05*PriorCost))
Count 0.20 Poisson(exp(0.4384-0.7*Gender+0.2*PriorHosp+0.05*PriorCost))
Binary 0 Bernoulli(expit(−1.1973-0.7*Gender+0.2*PriorHosp+0.05*PriorCost))
Binary 0.04 Bernoulli(expit(−1.0132-0.7*Gender+0.2*PriorHosp+0.05*PriorCost))
Binary 0.08 Bernoulli(expit(−0.8395-0.7*Gender+0.2*PriorHosp+0.05*PriorCost))