Bayesian methods for repeated measures. (2015)

• Record Type: Book
• Further Information: Note: Lyle D. Broemeling.
• Authors: Broemeling, Lyle D, 1939-
• Contents: Introduction to the Analysis of Repeated Measures ; Introduction; Bayesian Inference; Bayes's Theorem; Prior Information; Posterior Information; Posterior Inference; Estimation; Testing Hypotheses; Predictive Inference; The Binomial; Forecasting from a Normal Population; Checking Model Assumptions; Sampling from an Exponential, but Assuming a Normal Population; Poisson Population; Measuring Tumor Size; Testing the Multinomial Aßumption; Computing; Example of a Cross-Sectional Study; Markov Chain Monte Carlo; Metropolis Algorithm; Gibbs Sampling; Common Mean of Normal Populations; An Example; Additional Comments about Bayesian Inference; WinBUGS; Preview; Exercises; Review of Bayesian Regression Methods ; Introduction; Logistic Regression; Linear Regression Models; Weighted Regression; Nonlinear Regression; Repeated Measures Model; Remarks about Review of Regression; Exercises; Foundation and Preliminary Concepts ; Introduction; An Example; Notation; Descriptive Statistics; Graphics; Sources of Variation; Bayesian Inference; Summary Statistics; Another Example; Basic Ideas for Categorical Variables; Summary; Exercises; Linear Models for Repeated Measures and Bayesian Inference ; Introduction; Notation for Linear Models; Modeling the Mean; Modeling the Covariance Matrix; Historical Approaches; Bayesian Inference; Another Example; Summary and Conclusions; Exercises; Estimating the Mean Profile of Repeated Measures ; Introduction; Polynomials for Fitting the Mean Profile; Modeling the Mean Profile for Discrete Observations; Examples; Conclusions and Summary; Exercises; Correlation Patterns for Repeated Measures ; Introduction; Patterns for Correlation Matrices; Choosing a Pattern for the Covariance Matrix; More Examples; Comments and Conclusions; Exercises; General Mixed Linear Model ; Introduction and Definition of the Model; Interpretation of the Model; General Linear Mixed Model Notation; Pattern of the Covariance Matrix; Bayesian Approach; Examples; Diagnostic Procedures for Repeated Measures; Comments and Conclusions; Exercises; Repeated Measures for Categorical Data ; Introduction to the Bayesian Analysis with a Dirichlet Posterior Distribution; Bayesian GEE; Generalized Mixed Linear Models for Categorical Data; Comments and Conclusions; Exercises; Nonlinear Models and Repeated Measures ; Nonlinear Models and a Continuous Response; Nonlinear Repeated Measures with Categorical Data; Comments and Conclusion; Exercises; Bayesian Techniques for Missing Data ; Introduction; Missing Data and Linear Models of Repeated Measures; Missing Data and Categorical Repeated Measures; Comments and Conclusions; Exercises; References
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2015
• Extent: 1 online resource, illustrations
• Subjects: 519.542; Bayesian statistical decision theory; Research -- Statistical methods
• Languages: English
• ISBNs: 9781482248203
• Related ISBNs: 9781482248197
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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