estimHI_3FDR: 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_3FDR(t, intervention = 0, year_intervention = NULL,
  nb_people = 100, nb_iter = 0, data_pop, gender = "W",
  data_a01_values, data_a02_values, data_theta01_1_values,
  data_theta01_2_values, data_theta01_3_values, data_theta02_1_values,
  data_theta02_2_values, data_theta02_3_values, data_theta12_1_values,
  data_theta12_2_values, data_theta12_3_values, data_prev_0_values,
  data_prev_1_values, data_prev_2_values, data_prev_3_values,
  data_prev_4_values, data_prev_5_values, data_prev_6_values,
  data_prev_7_values, data_incid_0_values, data_incid_1_values,
  data_incid_3_values, data_incid_5_values, data_rr_DvsND_values, data_a01,
  data_a02, data_theta01_1, data_theta01_2, data_theta01_3, data_theta02_1,
  data_theta02_2, data_theta02_3, data_theta12_1, data_theta12_2,
  data_theta12_3, data_prev_0, data_prev_1, data_prev_2, data_prev_3,
  data_prev_4, data_prev_5, data_prev_6, data_prev_7, data_incid_0,
  data_incid_1, data_incid_3, data_incid_5, 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_1_values	data source for the relative risks associated with the exposure 1 for disease.
data_theta01_2_values	data source for the relative risks associated with the exposure 2 for disease.
data_theta01_3_values	data source for the relative risks associated with the exposure 3 for disease.
data_theta02_1_values	data source for the relative risks associated with the exposure 1 for mortality among healthy subjects.
data_theta02_2_values	data source for the relative risks associated with the exposure 2 for mortality among healthy subjects.
data_theta02_3_values	data source for the relative risks associated with the exposure 3 for mortality among healthy subjects.
data_theta12_1_values	data source for the relative risks associated with the exposure 1 for mortality among diseased subjects.
data_theta12_2_values	data source for the relative risks associated with the exposure 2 for mortality among diseased subjects.
data_theta12_3_values	data source for the relative risks associated with the exposure 3 for mortality among diseased subjects.
data_prev_0_values	data source for the prevalence of the exposition 0.
data_prev_1_values	data source for the prevalence of the exposition 1.
data_prev_2_values	data source for the prevalence of the exposition 2.
data_prev_3_values	data source for the prevalence of the exposition 3.
data_prev_4_values	data source for the prevalence of the exposition 4.
data_prev_5_values	data source for the prevalence of the exposition 5.
data_prev_6_values	data source for the prevalence of the exposition 6.
data_prev_7_values	data source for the prevalence of the exposition 7.
data_incid_0_values	data source for the incidence of the exposition 0.
data_incid_1_values	data source for the incidence of the exposition 1.
data_incid_3_values	data source for the incidence of the exposition 3.
data_incid_5_values	data source for the incidence of the exposition 5.
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_1	variability of data source for the relative risks associated with the exposure 1 for disease.
data_theta01_2	variability of data source for the relative risks associated with the exposure 2 for disease.
data_theta01_3	variability of data source for the relative risks associated with the exposure 3 for disease.
data_theta02_1	variability of data source for the relative risks associated with the exposure 1 for mortality among healthy subjects.
data_theta02_2	variability of data source for the relative risks associated with the exposure 2 for mortality among healthy subjects.
data_theta02_3	variability of data source for the relative risks associated with the exposure 3 for mortality among healthy subjects.
data_theta12_1	variability of data source for the relative risks associated with the exposure 1 for mortality among diseased subjects.
data_theta12_2	variability of data source for the relative risks associated with the exposure 2 for mortality among diseased subjects.
data_theta12_3	variability of data source for the relative risks associated with the exposure 3 for mortality among diseased subjects.
data_prev_0	variability of data source for the prevalence of the exposition 0.
data_prev_1	variability of data source for the prevalence of the exposition 1.
data_prev_2	variability of data source for the prevalence of the exposition 2.
data_prev_3	variability of data source for the prevalence of the exposition 3.
data_prev_4	variability of data source for the prevalence of the exposition 4.
data_prev_5	variability of data source for the prevalence of the exposition 5.
data_prev_6	variability of data source for the prevalence of the exposition 6.
data_prev_7	variability of data source for the prevalence of the exposition 7.
data_incid_0	variability of data source for the incidence of the exposition 0.
data_incid_1	variability of data source for the incidence of the exposition 1.
data_incid_3	variability of data source for the incidence of the exposition 3.
data_incid_5	variability of data source for the incidence of the exposition 5.
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_3FDR(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_1_values = theta01_cas_1_6_values,
data_theta01_2_values = theta01_cas_1_6_values,
data_theta01_3_values = theta01_cas_1_6_values,
data_theta02_1_values = theta02_increase_values,
data_theta02_2_values = theta02_increase_values,
data_theta02_3_values = theta02_increase_values,
data_theta12_1_values = theta02_increase_values,
data_theta12_2_values = theta02_increase_values,
data_theta12_3_values = theta02_increase_values,
data_prev_0_values <- prevconso_values,
data_prev_1_values <- prevconso_values,
data_prev_2_values <- prevconso_values,
data_prev_3_values <- prevconso_values,
data_prev_4_values <- prevconso_values,
data_prev_5_values <- prevconso_values,
data_prev_6_values <- prevconso_values,
data_prev_7_values <- prevconso_values,
data_incid_0_values <- incidconso_values,
data_incid_1_values <- incidconso_values,
data_incid_3_values <- incidconso_values,
data_incid_5_values <- incidconso_values,
data_rr_DvsND_values = rr_DvsND_values,
data_a01 = a01_constant,
data_a02 = a02_constant,
data_theta01_1 = theta01_cas_1_6,
data_theta01_2 = theta01_cas_1_6,
data_theta01_3 = theta01_cas_1_6,
data_theta02_1 = theta02_increase,
data_theta02_2 = theta02_increase,
data_theta02_3 = theta02_increase,
data_theta12_1 = theta02_increase,
data_theta12_2 = theta02_increase,
data_theta12_3 = theta02_increase,
data_prev_0 = prevconso,
data_prev_1 = prevconso,
data_prev_2 = prevconso,
data_prev_3 = prevconso,
data_prev_4 = prevconso,
data_prev_5 = prevconso,
data_prev_6 = prevconso,
data_prev_7 = prevconso,
data_incid_0 = incidconso,
data_incid_1 = incidconso,
data_incid_3 = incidconso,
data_incid_5 = incidconso,
data_rr_DvsND = rr_DvsND,
Ncpus = 1)

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