Sensitivity analysis, Monte Carlo risk analysis, and Bayesian uncertainty assessment
Greenland, S
HERO ID
631228
Reference Type
Journal Article
Year
2001
Language
English
PMID
| HERO ID | 631228 |
|---|---|
| In Press | No |
| Year | 2001 |
| Title | Sensitivity analysis, Monte Carlo risk analysis, and Bayesian uncertainty assessment |
| Authors | Greenland, S |
| Journal | Risk Analysis |
| Volume | 21 |
| Issue | 4 |
| Page Numbers | 579-583 |
| Abstract | Standard statistical methods understate the uncertainty one should attach to effect estimates obtained from observational data. Among the methods used to address this problem are sensitivity analysis, Monte Carlo risk analysis (MCRA), and Bayesian uncertainty assessment. Estimates from MCRAs have been presented as if they were valid frequentist or Bayesian results, but examples show that they need not be either in actual applications. It is concluded that both sensitivity analyses and MCRA should begin with the same type of prior specification effort as Bayesian analysis. |
| Doi | 10.1111/0272-4332.214136 |
| Pmid | 11726013 |
| Wosid | CCC:000172060000002 |
| Is Certified Translation | No |
| Dupe Override | No |
| Is Public | Yes |
| Language Text | English |
| Keyword | Bayesian analysis; epidemiologic methods; Monte Carlo analysis; relative risk; risk assessment |