Titlebook: Case Studies in Bayesian Statistics; Volume IV Constantine Gatsonis,Robert E. Kass,Mike West Conference proceedings 1999 Springer Science+B

Osteoarthritis

The human observer; colour vision,terdisciplinary research programs at Duke University: the Specialized Program of Research Excellence (SPORE) in breast cancer and the Cancer Prevention Research Unit (CPRU) on improving risk communication. In both programs we found Bayesian modeling useful in addressing specific scientific questions

思考

https://doi.org/10.1007/978-1-4020-8602-1a known dosage regimen. Population data arise when these quantities are measured on a group of individuals, along with subject-specific characteristics (covariates) such as age, sex or the level of a biological marker. When identical doses are administered to a group of individuals large between-ind

exquisite

Unmanned Aircraft Systems Regulation,tudinal binary data which looks at the regression of the marginal probabilities on the covariates. The model allows for nonstationarity in the regression coefficients over time in order to reflect the reduced risk of toxicity over time. Correlations in the measurements over time are modeled by the i

NIB

Current Manned Aviation Regulation,pitals with time series structure to allow and measure time-variations in the associated hierarchical model parameters. In the VA study, the within-year components of the models describe patterns of heterogeneity across the population of hospitals and relationships among several such monitors, while

Panacea

Unmanned Aircraft Systems Regulation, consider the issues of model selection and adequacy. In particular, we offer graphical displays which suggest the presense of unobserved spatially varying covariates outside the city of Atlanta, and reveal the value of our errors in covariates approach, respectively. Finally, we summarize our findi

stress-response

障礙

機構

Rationality of Moral Judgments,th prostate cancer and identifying subject-specific changepoints that are indicative of cancer onset. With the goal of accurate early detection, we perform a prospective sequential analysis to compare several diagnostic rules, including a rule based on the posterior distribution of individual change

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Erratum to: Analysis of hospital quality monitors using hierarchical time series models

LURE