Random Effects Models for Ordinal Data (Dataset)

Reference

University of Auckland Dataset obtained from http://hdl.handle.net/2292/5240 (2009)

Degree Grantor

Abstract

This dataset contains addtional material for the PhD thesis "Random effects models for ordinal data", fulltext at http://hdl.handle.net/2292/4544. This dataset contains six folders listed below, organised by chapter in the Zip files.

  1. Ch4_Ante_dependence :

    Two files for performing ante-dependence method (ANTORDER and ANTTEST) on the calves weight data, as described in section 4.2.

  2. Ch5_2003_trial_Assessment4 :

    Two folders with WinBUGS codes and output from analysing the 4th assessment data of the 2003 trial using a Bayesian hierarchical ordinal logistic model, as described in section 5.2.

  3. Ch7_5_Disease_Profiles :

    Two folders with WinBUGS codes and related output from analyses of the 1987 and 2005 late blight data using the 5 disease profiles as described in section 7.4.2.

  4. Ch7_Prior_for_row_col_hyperparameters :

    4 different priors were applied to the row and column hyperparameters in the Bayesian hierarchical model as described in section 7.5.2. 4 subfolders here, one for each of the priors.

  5. Ch8_Individual_Trial_result :

    This folder contains folders of results from fitting a Bayesian sigmoid logistic model to each individual late blight trials as described in Chapter 8.

  6. Ch9_Analysing_combined_trials :

    Applying a Bayesian model for analysing repeatedly assessed ordinal scores of combined late blight trials data from different years as described in Chapter 9. The model was applied to the 1985, 1987 combined data (8586_8788_combined) and also to the 1983, 1985 and 1987 combined data(8384_8586_8788_combined).

Description

This data is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

DOI

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Keywords

ANZSRC 2020 Field of Research Codes

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