trajmsm (version 0.1.3)

trajhrmsm_pltmle: History Restricted MSM and Latent Class of Growth Analysis estimated with a Pooled LTMLE.

Description

Estimate parameters of LCGA-HRMSM using a Pooled LTMLE.

Usage

trajhrmsm_pltmle(
  degree_traj = c("linear", "quadratic", "cubic"),
  treatment,
  covariates,
  baseline,
  outcome,
  ntimes_interval,
  total_followup,
  time,
  time_values,
  identifier,
  var_cov,
  number_traj = 3,
  family = "poisson",
  obsdata,
  treshold = 0.99
)

Value

A list containing the following components:

results_hrmsm_pltmle

Matrix of estimates for LCGA-HRMSM, obtained using the pooled ltlmle method.

restraj

Fitted trajectory model.

mean_adh

Matrix of the mean adherence per trajectory group.

Arguments

degree_traj

To specify the polynomial degree for modelling the time-varying treatment.

treatment

Name of time-varying treatment.

covariates

Names of time-varying covariates (should be a list).

baseline

Names of baseline covariates.

outcome

Name of the outcome variable.

ntimes_interval

Length of a time-interval (s).

total_followup

Total length of follow-up.

time

Name of the time variable.

time_values

Measuring times.

identifier

Name of the column for unique identifiant.

var_cov

Names of the time-varying variables.

number_traj

Number of trajectory groups.

family

Specification of the error distribution and link function to be used in the model.

obsdata

Data in a long format.

treshold

For weight truncation.

Author

Awa Diop Denis Talbot

Examples

# \donttest{
obsdata_long = gendata(n = 5000, format = "long",
total_followup = 8, timedep_outcome = TRUE,  seed = 845)
baseline_var <- c("age","sex")
years <- 2011:2018
variables <- c("hyper", "bmi")
covariates <- lapply(years, function(year) {
  paste0(variables, year)})
treatment_var <- paste0("statins", 2011:2018)
var_cov <- c("statins","hyper", "bmi","y")
respltmle = trajhrmsm_pltmle(degree_traj = "linear", treatment = treatment_var,
covariates = covariates, baseline = baseline_var,
outcome = paste0("y", 2016:2018),var_cov = var_cov, ntimes_interval = 6,
total_followup = 8, time = "time",time_values = years, identifier = "id",
number_traj = 3, family = "poisson", obsdata = obsdata_long,treshold = 1)
respltmle$results_hrmsm_pltmle
# }