1 INTRODUCTION
1.1 Health Policy Simulations
1.2 Model Specification, Estimation, Simulation, and Analysis
1.3 Estimation Challenges Stemming from Incomplete Survey Data
1.4 Unified Solution

2 EXPECTATION-MAXIMIZATION FOR MARKOV CHAINS
2.1 Expectation-Maximization Algorithm
2.2 Expectation-Maximization for Estimating Markov Chain Transition Models
2.3 E-step Computation Using Importance Sampling

3 APPLICATION TO FUTURE ELDERLY MODEL

4 IMPLEMENTATION

5 DISCUSSION
5.1 Paths to Improved Performance
5.2 Appropriate Types of Missingness
5.3 Comparison of Other Methods
5.4 Connection to Bridge Simulations