Description Usage Arguments Value Examples
This function computes many health indicators under several scenarios of intervention in risk factor distribution for a given year.
1 2 3 4 5 6 7 | 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)
|
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 |
year_intervention |
year of the intervention in risk factor distribution takes place. Default is |
nb_people |
number of people whose trajectory will be simulated for each generation. Default is |
nb_iter |
number of iterations for the algorithm. Default is |
data_pop |
data source for demographics data. |
gender |
gender for computation. |
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 |
a list containing the health indicators
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | 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)
|
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