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Bayesian Methods for Repeated Measures

Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;

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Bayesian Methods for Repeated Measures

Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated;

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Growth Curves

This work describes several statistical techniques for studying repeated measures data, presenting growth curve methods applicable to;

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Bayesian Methods for Measures of Agreement

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;

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Bayesian Methods for Measures of Agreement

Using WinBUGS to implement Bayesian inferences of estimation and testing hypotheses, Bayesian Methods for Measures of Agreement presents;

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Bayesian Statistical Methods

goodness-of-fit measures, including sensitivity to priors Frequentist properties of Bayesian methods Case studies;

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Bayesian Statistical Methods

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis;

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Repeated Measures Design for Empirical Researchers

for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using;

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Bayesian Disease Mapping

Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling;

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Computational Methods in Biomedical Research

of randomization tests, mixed-effects models, and the classification rules for repeated measures data. The volume concludes with estimation methods for;

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The Design And Analysis Of Sequential Clinical Trials

also covered in detail, and these include -spending function methods, repeated confidence intervals and Bayesian approaches to sequential;

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Analysis of Repeated Measures

Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions;

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Analysis of Repeated Measures

Repeated measures data arise when the same characteristic is measured on each case or subject at several times or under several conditions;

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Modeling Intraindividual Variability With Repeated Measures Data

features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to;

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Modeling Intraindividual Variability With Repeated Measures Data

features the most current methods on modeling repeated measures data as reported by a distinguished group of experts in the field. The goal is to;

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Statistical Methods in Psychiatry and Related Fields

approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and;

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Statistical Methods in Psychiatry and Related Fields

for repeated measures and growth mixture models for heterogeneous trajectories over time. Separate chapters are devoted to techniques for;

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Advanced Bayesian Methods for Medical Test Accuracy

After a review of the usual measures, including specificity, sensitivity, positive predictive value, negative predictive value, and the;

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Experimental Design & Data Analysis Biol

models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques;

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Handbook of Bayesian Variable Selection

of Bayesian methods for variable selection. It also provides a valuable reference for all interested in applying existing methods and/or pursuing;

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Modeling Evolution of Upper Arm Circumference of Infant's

in the analysis of longitudinal data, too to account the correlation steaming from the repeated measures nature. This study will be dedicated to;

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Bayesian Methods in Pharmaceutical Research

industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients. The book;

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Advanced Epidemiologic Methods for the Study of Rheumatic Diseases, An Issue of Rheumatic Disease Clinics of North America

measures, Alternative longitudinal study designs, Propensity score methods for observational data, Approaches to deal with missing data, Applied;

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Computational Bayesian Statistics

a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;

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Computational Bayesian Statistics

a textbook for a first graduate-level course in Bayesian computation with a focus on Monte Carlo methods. The extensive discussion;

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Computational Methods in Biomedical Research

of randomization tests, mixed-effects models, and the classification rules for repeated measures data. The volume concludes with estimation methods for;

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Dynamical Biostatistical Models

for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most;

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