Fitting and interpreting continuous-time latent Markov models for panel data

Mathematics

• Panel Data 100%
• Markov Model 84%
• Continuous Time 67%
• Likelihood 15%
• Semi-Markov Model 12%
• Multi-state Model 12%
• Lung 11%
• Markov Chain Model 11%
• Sojourn Time 10%
• Alternatives 10%
• Expectation-maximization Algorithm 10%
• Performance 10%
• Point Estimate 10%
• Tractability 10%
• Estimate 7%
• Scenarios 7%
• Efficient Algorithms 7%
• State Space 7%
• Robustness 7%
• Discrete-time 7%
• Trajectory 6%
• Dependent 5%
• Model 5%
• Unknown 5%
• Modeling 5%
• Context 5%
• Interval 5%
• Framework 4%
• Standards 4%

Medicine & Life Sciences

• Markov Chains 54%
• Datasets 6%
• Clinical Studies 5%
• Transplants 4%
• Lung 4%