write_pattern: An internal function to select which type of pattern mixture...

In missingHE: Missing Outcome Data in Health Economic Evaluation

An internal function to select which type of pattern mixture model to execute. Alternatives vary depending on the type of distribution assumed for the effect and cost variables, type of missingness mechanism assumed and independence or joint modelling This function selects which type of model to execute.

Description

An internal function to select which type of pattern mixture model to execute. Alternatives vary depending on the type of distribution assumed for the effect and cost variables, type of missingness mechanism assumed and independence or joint modelling This function selects which type of model to execute.

Usage

write_pattern(
  type,
  dist_e,
  dist_c,
  pe_fixed,
  pc_fixed,
  ind_fixed,
  pe_random,
  pc_random,
  ind_random,
  model_e_random,
  model_c_random,
  d_list,
  d1,
  d2,
  restriction
)

Arguments

type	Type of missingness mechanism assumed. Choices are Missing At Random (MAR), Missing Not At Random for the effects (MNAR_eff), Missing Not At Random for the costs (MNAR_cost), and Missing Not At Random for both (MNAR)
dist_e	Distribution assumed for the effects. Current available choices are: Normal ('norm'), Beta ('beta'), Gamma ('gamma'), Exponential ('exp'), Weibull ('weibull'), Logistic ('logis'), Poisson ('pois'), Negative Binomial ('nbinom') or Bernoulli ('bern')
dist_c	Distribution assumed for the costs. Current available choices are: Normal ('norm'), Gamma ('gamma') or LogNormal ('lnorm')
pe_fixed	Number of fixed effects for the effectiveness model
pc_fixed	Number of fixed effects for the cost model
ind_fixed	Logical; if TRUE independence between effectiveness and costs is assumed, else correlation is accounted for
pe_random	Number of random effects for the effectiveness model
pc_random	Number of random effects for the cost model
ind_random	Logical; if TRUE independence at the level of the random effects between effectiveness and costs is assumed, else correlation is accounted for
model_e_random	Random effects formula for the effectiveness model
model_c_random	Random effects formula for the costs model
d_list	Number and type of patterns
d1	Pattern indicator in the control
d2	Pattern indicator in the intervention
restriction	type of identifying restriction to be imposed

Examples

# Internal function only
# No examples
#
#

missingHE documentation built on March 31, 2023, 10:27 p.m.