Scholz, Stefan: Dealing with uncertainty in health economic decision modeling. Applying statistical and data science methods. 2021
Inhalt
- List of Figures
- List of Tables
- Abbreviations
- Abstract
- Modeling in Health Technology Assessment
- Introduction
- Health economic decision analysis
- Decision analytic modeling techniques
- Uncertainty in decision analytic models
- Existing methods of dealing with uncertainty
- Aim and structure of the thesis
- Parameter Uncertainty: Heterogeneity, Variability and Stochasticity
- Population size and self-reported characteristics and sexual preferences of men-who-have-sex-with-men (MSM) in Germany based on social network data
- Epidemiology and cost of seasonal influenza in Germany – a claims data analysis
- An exclusive human milk diet for very low birth weight newborns – A cost-effectiveness and EVPI study for Germany
- Methodological and structural uncertainty
- The cost-of-illness for invasive meningococcal disease caused by serogroup B Neisseria meningitidis (MenB) in Germany
- Modeling rheumatoid arthritis using different techniques – a review of model construction and results
- Cost Effectiveness of Elderly Pneumococcal Vaccination in Presence of Higher‑Valent Pneumococcal Conjugate Childhood Vaccination: Systematic Literature Review with Focus on Methods and Assumptions
- Algorithmic uncertainty
- Efficient and Effective Pair-Matching Algorithms for Microsimulations
- How various design decisions on matching individuals in relationships affect the outcomes of microsimulations of sexually transmitted infection epidemics
- Discussion
- Bibliography