"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",