define_EHR: Construct an EHR_definition object.
In rEHR: Manipulating and Analysing Electronic Health Record Data

Description Usage Arguments Details Patient element

This function creates the object that defines EHR simulations

define_EHR(start_date = "1930-01-01", end_date = "2014-06-30",
  patient = list(num = 10000, comorbidity = list(codes = NULL, prevalence =
  NULL), sim_params = list(transfer_out_prob = 0.2, scale = 25000, weibull_shape
  = 1, censor_type = "noninformative", betas = list(conditions = NULL, gender =
  log(0.7), baseline = 0.01, transfer_out = 3.5))),
  consultation = list(per_year = 2, type = list(code = 0:1, prob = c(0.2,
  0.8))), clinical = list(mean_events = 1), referral = list(mean_events =
  0.1), therapy = list(mean_events = 1), practice = list(num = 100, regions
  = 13, imd_cats = 5, early_lcd_prob = 0.1, early_lcd_range = 2, uts_limit =
  as.Date("1998-01-01"), late_uts_prob = 0.5, late_uts_range = 3))

`start_date`	character date for earliest birthday of patients in EMR ("%Y-%m-%d")
`end_date`	character date for latest data collection date ("%Y-%m-%d")
`patient`	list of definitions for patient file (see details)
`consultation`	list of definitions for consultation file (see details)
`clinical`	list of definitions for clinical file (see details)
`referral`	list of definitions for referral file (see details)
`therapy`	list of definitions for therapy file (see details)
`practice`	list of definitions for practice file (see details)

The arguments for this constructor function are complex:

This is a list containing:

num number of patients in the EHR simulation
Comorbidity a list containing :
- codes a named list of data frames of clinical codes in www.clinicalcodes.org export format
- prevalence a named list of prevalences for the comorbidities
- sim_params a list containing:
  - transfer_out_prob - probability of a patient transferring out early
  - scale - scaling up parameter for survival rates
  - weibull_shape - parameter for survival rates
  - censor_type type of censoring employed by link{surv_sims}
  - betas - list of values for conditions, gender, baseline and transfer out hazards. The betas element is a named vector of log hazards of length == length(comorbidity$codes)
to do.