tests/testthat/_snaps/pool_cea.md

print.cea_mcglm_pooled works

======================================================
=== Pooled Cost-Effectiveness Regression Estimates ===
======================================================
Based on 2 imputed datasets.

Call:
 estimate.mids(QALYs = "QALYs", costs = "Cost", treatment = "tx", 
    covars = c("age", "sex"), data = moa2_mi)

Data:
 mice(data = data, m = m, where = where, maxit = 0, remove.collinear = FALSE, 
    allow.na = TRUE)

------------------
Univariate Models:

  QALYs: QALYs ~ tx + age + sex
    * Link function: identity 
    * Variance function: constant 
    * Covariance function: identity

  Costs: Cost ~ tx + age + sex
    * Link function: log 
    * Variance function: tweedie 
    * Covariance function: identity

------------------
Incremental Treatment Effects:
                ExB         MT   MT + ExB 
  QALYs:     +0.089     +0.171     +0.007 
  Costs:      +2238      +2084      +1252 
  ICER:       25266      12197     167702

===============================================
======================================================
=== Pooled Cost-Effectiveness Regression Estimates ===
======================================================
Based on 2 imputed datasets.

Call:
 estimate.mids(QALYs = "QALYs", costs = "Cost", treatment = "tx", 
    covars = c("age", "sex"), data = moa2_mi, method = "mglmmPQL")

Data:
 mice(data = data, m = m, where = where, maxit = 0, remove.collinear = FALSE, 
    allow.na = TRUE)

------------------
Univariate Models:

  QALYs: QALYs ~ tx + age + sex
    * Family: gaussian 
    * Link: identity 
  Costs: Cost ~ tx + age + sex
    * Family: Gamma 
    * Link: log 
------------------
Incremental Treatment Effects:
                ExB         MT   MT + ExB 
  QALYs:     +0.089     +0.171     +0.007 
  Costs:      +2238      +2084      +1252 
  ICER:       25266      12197     167702

===============================================


uo-cmor/cea documentation built on Dec. 23, 2021, 2:01 p.m.