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Table 2 parameters in fitted regression models

From: Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data: the role of uncertainty

Disease name

Incidence

Prevalence

Diabetes

f(age, age^2,age^3,age^4,sex)

f(age, age^2,age^3,age^4,age^5,age^6,sex,sex*age, sex*age^2)

Heart failure

f(age, age^2,sex,sex*age, sex*age^2)

f(age, age^2,age^3,sex,sex*age)

COPD

f(age, age^2,age^3,age^4,sex,sex*age, sex*age^2)

f(age, age^2,age^3,age^4, age^5, age^6,age^7,age^8, sex,sex*age, sex*age^2 sex*age^3 sex*age^4)

Stroke

f(age, sex)

f(age, age^2,age^3,sex)

Coronary heart disease

f(age, age^2,sex,sex*age, sex*age^2,sex*age^3)

f(age, age^2,sex,sex*age, sex*age^2)

Dementia

f(age, age^2,age^3,sex)

f(age, age^2,age^3,sex)

Schizophrenia

f(age, age^2,sex)

f(age, age^2,age^3,sex,sex*age)

Parkinson

f(age, age^2,sex)

f(age, age^2,age^3,age^4,sex)

Multiple sclerosis

f(age, age^2,sex)

f(age, age^2,sex)

Epilepsy

f(age, age^2,sex)

f(age, age^2,age^3,age^4,age^5,sex)

Macular degeneration

f(age,sex)

f(age,sex)

Glaucoma

f(age, age^2,sex)

f(age, age^2,age^3,sex)

Cataracts

f(age, age^2,age^3,sex)

f(age, age^2,age^3,age^4,sex)

Hearing impairments

f(age, age^2,age^3,sex)

f(age, age^2,age^3,age^4,age^5,sex,sex*age)

Inflammatory bowel diseases

f(age, age^2,age^3,sex)

f(age, age^2,age^3,age^4,sex)

Osteoporosis

f(age, sex,sex*age, sex*age^2)

f(age, sex,sex*age, sex*age^2,sex*age^3)

Rheumatoid arthritis

f(age, age^2,sex)

f(age, age^2,sex,sex*age)

Arthritis

f(age, age^2,sex)

f(age, age^2,sex,sex*age,age^2, sex*age^2,sex*age^3,sex*age^4)