Microsimulation Model to Compare Enteral and Parenteral Iron Supplementation in Children With Intestinal Failure.

Background: Children with chronic intestinal failure have a high prevalence of anemia, commonly from iron deficiency, leading to frequent blood transfusions. No current guideline exists for iron supplementation in these children. In this analysis, we evaluate the effectiveness and the cost-effectiveness of using parenteral, enteral, and no iron supplementation to reduce blood transfusions.

A Multidimensional Array Representation of State-Transition Model Dynamics.

Cost-effectiveness analyses often rely on cohort state-transition models (cSTMs). The cohort trace is the primary outcome of cSTMs, which captures the proportion of the cohort in each health state over time (state occupancy). However, the cohort trace is an aggregated measure that does not capture information about the specific transitions among health states (transition dynamics).

Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial.

Microsimulation models are becoming increasingly common in the field of decision modeling for health. Because microsimulation models are computationally more demanding than traditional Markov cohort models, the use of computer programming languages in their development has become more common. R is a programming language that has gained recognition within the field of decision modeling.

Some Health States Are Better Than Others: Using Health State Rank Order to Improve Probabilistic Analyses.

Background: Probabilistic sensitivity analyses (PSA) may lead policy makers to take nonoptimal actions due to misestimates of decision uncertainty caused by ignoring correlations. We developed a method to establish joint uncertainty distributions of quality-of-life (QoL) weights exploiting ordinal preferences over health states.

Methods: Our method takes as inputs independent, univariate marginal distributions for each QoL weight and a preference ordering.