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Showing 1 to 8 of 8 for “"WinBUGS"”.

  1. Modeling Correlated Ordinal Data: Marginal and Conditional Approaches

    … are developed in R for the GEE computations and WinBugs to perform Gibbs sampling for the Bayesian analysis. Analyses of randomized controlled longitudinal data and randomized controlled surgical data are used to illustrate the features of the class of models.

    uiuc Repository record for Modeling Correlated Ordinal Data: Marginal and Conditional Approaches (opens in a new tab)

  2. Estimação clássica e Bayesiana em modelos de sobrevida com fração de cura

    … and Gibbs sampling as implemented in Winbugs. We describe the main features of the models used, the estimation methods and the computational aspects. We also discuss how different prior information can affect the Bayesian estimates

    brazil-ufrn Repository record for Estimação clássica e Bayesiana em modelos de sobrevida com fração de cura (opens in a new tab)

  3. Population Pharmacokinetics of Therapeutic Monoclonal Antibodies: Examples and Estimation Method Performance Differences

    … Markov Chain Monte Carlo (MCMC) method in WinBUGS when applied to population PK modeling of therapeutic mAbs with nonlinear PK. The Bayesian MCMC method was evaluated with both vague and informative priors. Published findings of population PK analyses of therapeutic mAbs were used to define …

    tenn-hsc Repository record for Population Pharmacokinetics of Therapeutic Monoclonal Antibodies: Examples and Estimation Method Performance Differences (opens in a new tab)

  4. The use of ringing data in the study of climatic influences on common passerines

    … (1999-2013) with a hierarchical model, run in WinBUGS, with a temporal, synchronous (common) and asynchronous (species-specific) component. Comparison of models with and without climatic covariates quantified the impact of climatic stochasticity as a synchronizing and desynchronizing agent. As …

    cape-town Repository record for The use of ringing data in the study of climatic influences on common passerines (opens in a new tab)

  5. DISPERSAL BEHAVIOR OF WHITE-TAILED DEER IN AN AGRICULTURAL LANDSCAPE

    … models to collected dispersal locations using WinBUGS v. 1.4.3. I was able to fit a single random walk model to deer dispersal paths but the more complex random walk models did not converge. I used the average parameter values derived from the single model to simulate deer dispersal paths and …

    siu-theses Repository record for DISPERSAL BEHAVIOR OF WHITE-TAILED DEER IN AN AGRICULTURAL LANDSCAPE (opens in a new tab)

  6. Modelling HIV/AIDS epidemic in Nigeria

    … in R and empirical and full Bayesian methods in WinBUGS. Results confirmed significant spatial effects and some ecological factors were significant in explaining the variation. Also, variation due to various levels of aggregation was prominent. Estimates of cumulative HIV infection in Nigeria …

    glasgow Repository record for Modelling HIV/AIDS epidemic in Nigeria (opens in a new tab)

  7. Separate and Joint Analysis of Longitudinal and Survival Data

    <p>Chemotherapy is a method used to treat cancer but it has a number of side-effects. Research conducted by the Department of Chemical Engineering at BYU involves a new method of administering chemotherapy using ultrasound waves and water-soluble capsules. The goal is to reduce the side-effects by …

    byu Repository record for Separate and Joint Analysis of Longitudinal and Survival Data (opens in a new tab)

  8. Pharmacotherapy for Social Anxiety Disorder and Posttraumatic Stress Disorder: New Meta-Analytic Approaches to Synthesising the Evidence

    … method using Markov chain Monte Carlo methods in WinBUGS version 1.4.3 for the PTSD NMA. The P-score, an analogue to the surface under the cumulative ranking curves (SUCRA), was used to rank the treatments on a continuous scale for all pairwise comparisons for the SAD NMA, and for the PTSD review, …

    cape-town Repository record for Pharmacotherapy for Social Anxiety Disorder and Posttraumatic Stress Disorder: New Meta-Analytic Approaches to Synthesising the Evidence (opens in a new tab)