Analysis of Observational Health Care Data Using SAS
This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is suf...
| Autor Corporativo: | |
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| Otros Autores: | , , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified]
SAS Press Imprint
2010
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628455306719 |
Tabla de Contenidos:
- Introduction to observational studies
- Propensity score stratification and regression
- Propensity score matching for estimating treatment effects
- Doubly robust estimation of treatment effects
- Propensity scoring with missing values
- Instrumental variable method for addressing selection bias
- Local control approach using JMP
- A two-stage longitudinal propensity adjustment for analysis of observational data
- Analysis of longitudinal observational data using marginal structural models
- Structural nested models
- Regression models on longitudinal propensity scores
- Good research practices for the conduct of observational database studies
- Dose-response safety analyses using large health care databases
- Costs and cost-effectiveness analysis using propensity score bin bootstrapping
- Incremental net benefit
- Cost and cost-effectiveness analysis with censored data
- Addressing measurement and sponsor biases in observational research
- Sample size calculation for observational studies.
