"category": {
"ratios": {
"PC": 0.05,
"PN": 0.05,
"PS": 0.05,
"U": 0.85,
},
},
},
),
hh_id=patients.household_as_of(
"2020-02-01",
returning="pseudo_id",
return_expectations={
"int": {
"distribution": "normal",
"mean": 1000,
"stddev": 200
},
"incidence": 1,
},
),
hh_size=patients.household_as_of("2020-02-01",
returning="household_size",
return_expectations={
"int": {
"distribution": "normal",
"mean": 8,
"stddev": 1
},
"incidence": 1,
}),
"1": 0.8,
"5": 0.1,
"3": 0.1
}
},
"incidence": 0.75,
},
),
# HOUSEHOLD INFORMATION
household_id=patients.household_as_of(
"2020-02-01",
returning="pseudo_id",
return_expectations={
"int": {
"distribution": "normal",
"mean": 1000,
"stddev": 200
},
"incidence": 1,
},
),
household_size=patients.household_as_of(
"2020-02-01",
returning="household_size",
return_expectations={
"int": {
"distribution": "normal",
"mean": 3,
"stddev": 1
},
"incidence": 1,
),
#primis codes within past year
primis_carehome_pastyear=patients.with_these_clinical_events(
primis_codes,
between=["index_date - 1 year", "index_date"],
returning="binary_flag",
return_expectations={"incidence": 0.1},
),
# HOUSEHOLD RELATED VARIABLES
## household ID
household_id=patients.household_as_of(
"index_date",
returning="pseudo_id",
return_expectations={
"int": {"distribution": "normal", "mean": 1000, "stddev": 200},
"incidence": 1,
},
),
## household size
household_size=patients.household_as_of(
"index_date",
returning="household_size",
return_expectations={
"int": {"distribution": "normal", "mean": 3, "stddev": 1},
"incidence": 1,
},
),
# mixed household flag
nontpp_household=patients.household_as_of(
"index_date",