Table 3. Summary of models.

Model	Outcome	Predictors	Model form	Parameters
fZ	Demographics (age, sex, race), day/month of death, county	—	Unspecified	—
fB1	CoD (VSM)	Age, sex, race	Multinomial logistic regression	βB1
fB2	PoDv = Place of death (VSM)	Age, sex, race, CoD	Multinomial logistic regression	βB2
fA0	PoDe = Place of death, HMO (EoL)	Age, sex, race, Place of Death (VSM), CoD, CoD×Age	Multinomial logistic regression	βA0
fA1	Y1 = Medicare Part A expenditures (EoL, non-HMO only)	Age, sex, race, Place of Death (EoL), CoD, CoD×Age	Linear regression	βA1, σ1
fA2	Y2 = Medicare part A & B expenditures (EoL, non-HMO only)	Age, sex, race, Place of Death (EoL), Medicare part A expenditure, CoD, CoD×Age	Linear regression	βA2, σ2

EoL - End of Life dataset (Medicare)

VSM - Vital Statistics Mortality dataset (NCHS)

CoD - Cause of Death

HMO - Decedents who were enrolled in managed care