estimHI: Computation of Health Indicators

In floguillet/MCSPCD: Monte Carlo Simulation for Projections of epidemiological burden of Chronic Disease

Description

This function computes many health indicators under several scenarios of intervention in risk factor distribution for a given year.

Usage

estimHI(t, intervention = 0, year_intervention = NULL,
  nb_people = 100, nb_iter = 0, data_pop, gender = "W",
  data_a01_values, data_a02_values, data_theta01_values,
  data_theta02_values, data_theta12_values, data_prev_values,
  data_incid_values, data_rr_DvsND_values, data_a01, data_a02,
  data_theta01, data_theta02, data_theta12, data_prev, data_incid,
  data_rr_DvsND, Ncpus = 1)

Arguments

t	year of the projections for health indicators.
intervention	0 = no change; 1 = reduction by two of risk factor distribution; 2 = risk factor distribution considered as null. Default is 0.
year_intervention	year of the intervention in risk factor distribution takes place. Default is NULL.
nb_people	number of people whose trajectory will be simulated for each generation. Default is 100.
nb_iter	number of iterations for the algorithm. Default is 0.
data_pop	data source for demographics data.
gender	gender for computation. "W" for women and "M" for men. Default is "W".
data_a01_values	data source for the incidence of disease.
data_a02_values	data source for the mortality of healthy subjects.
data_theta01_values	data source for the relative risks associated with the exposure for disease.
data_theta02_values	data source for the relative risks associated with the exposure for mortality among healthy subjects.
data_theta12_values	data source for the relative risks associated with the exposure for mortality among diseased subjects.
data_prev_values	data source for the prevalence of the exposition.
data_incid_values	data source for the incidence of the exposition.
data_rr_DvsND_values	data source for the relative risks associated with the disease for mortality.
data_a01	variability of data source for the incidence of disease.
data_a02	variability of data source for the mortality of healthy subjects.
data_theta01	variability of data source for the relative risks associated with the exposure for disease.
data_theta02	variability of data source for the relative risks associated with the exposure for mortality among healthy subjects.
data_theta12	variability of data source for the relative risks associated with the exposure for mortality among diseased subjects.
data_prev	variability of data source for the prevalence of the exposition.
data_incid	variability of data source for the incidence of the exposition.
data_rr_DvsND	variability of data source for the relative risks associated with the disease for mortality.
Ncpus	The number of processors available. Default is "1".

Value

a list containing the health indicators

Examples

estimHI(t = 2040,
intervention = 1,
year_intervention = 2020,
nb_people = 10000,
nb_iter = 100,
data_pop = pop,
gender = "W",
data_a01_values = a01_constant_values,
data_a02_values = a02_constant_values,
data_theta01_values = theta01_cas_1_6_values,
data_theta02_values = theta02_increase_values,
data_theta12_values = theta02_increase_values,
data_prev_values <- prevconso_values,
data_incid_values <- incidconso_values,
data_rr_DvsND_values = rr_DvsND_values,
data_a01 = a01_constant,
data_a02 = a02_constant,
data_theta01 = theta01_cas_1_6,
data_theta02 = theta02_increase,
data_theta12 = theta02_increase,
data_prev = prevconso,
data_incid = incidconso,
data_rr_DvsND = rr_DvsND,
Ncpus = 1)

floguillet/MCSPCD documentation built on Dec. 16, 2019, 2:08 a.m.