| 000 | 00932camuuu200301 a 4500 | |
| 001 | 000000555594 | |
| 005 | 19980728165757.0 | |
| 008 | 951130s1996 nyua 001 0 eng | |
| 010 | ▼a 95051158 | |
| 020 | ▼a 082479334X (acid-free paper) | |
| 040 | ▼a DLC ▼c DLC ▼d NLM | |
| 049 | ▼l 111092004 ▼l 111108724 | |
| 082 | 0 4 | ▼a 610/.72 ▼2 20 |
| 090 | ▼a 610.72 ▼b B357 | |
| 245 | 0 0 | ▼a Bayesian biostatistics / ▼c edited by Donald A. Berry, Dalene K. Stangl. |
| 260 | ▼a New York : ▼b M. Dekker, ▼c 1996. | |
| 300 | ▼a xii, 675 p. : ▼b ill. ; ▼c 24 cm. | |
| 440 | 0 | ▼a Statistics, textbooks and monographs ; ▼v v. 151. |
| 500 | ▼a Includes index. | |
| 650 | 0 | ▼a Medicine ▼x Research ▼x Statistical methods. |
| 650 | 0 | ▼a Bayesian statistical decision theory. |
| 650 | 0 | ▼a Biometry. |
| 650 | 1 2 | ▼a Research Design. |
| 650 | 2 2 | ▼a Bayes Theorem. |
| 650 | 2 2 | ▼a Biometry. |
| 700 | 1 | ▼a Berry, Donald A. |
| 700 | 1 | ▼a Stangl, Dalene K., ▼d 1956-. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고7층/ | 청구기호 610.72 B357 | 등록번호 111092004 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
| No. 2 | 소장처 중앙도서관/서고7층/ | 청구기호 610.72 B357 | 등록번호 111108724 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
Part 1 General overview: Bayesian methods in health-related research; Bayesian approaches to randomized trials; Bayesian epidemiology. Part 2 Assessing probabilities: elicitation of prior distributions; priors for the design and analysis of clinical trials. Part 3 Decision problems: a Weibull model for survival data - using prediction to decide when to stop a clinical trial; decision models in clinical recommendations development - the stroke prevention policy model; dose-response analysis of toxic chemicals; expected utility as a policy making tool - an environmental health example. Part 4 Design: Bayesian hypothesis testing - interim analysis of a clinical trial evaluating phenytoin for the prophylaxis of early post-traumatic seizures in children; inference and design strategies for a hierarchical logistic regression model. Part 5 Model selection: model selection for generalized linear models via GLIB - application to nutrition and breast cancer. Part 6 Hierarchical models: Bayesian analysis of population pharmacokinetic and instantaneous pharmacodynamic relationships; Bayesian and frequentist analysis of an in vivo experiment in tumor hemodynamics; Bayesian meta-analysis of randomized trials using graphical models for assessing the effect of extreme cold weather on schizophrenic births; fitting and checking a two-level Poisson model - modelling patient mortality rates in heart transplant patients. Part 7 Other topics: analyzing rodent tumorigencitiy experiments using expert knowledge; assessing drug interactions - tamoxifen and cyclophosphamide; Bayesian subset analysis of a clinical trial for the treatment of HIV infections; Bayesian modelling of binary repeated measures data with application to crossover trials; a comparative study of perinatal mortality using a two-component mixture model; change-point analysis of a randomized trial on the effects of calcium supplementation on blood pressure; Bayesian predictive inference for a binary random variable - survey estimation of the quality of care that radiation therapy patients receive.
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