A Zero Inflated Regression Model for Grouped Data
We introduce the (panel) zero-inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to the general practitioner (GP) using individual-level...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
John Wiley & Sons Ltd
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/14387 |
| _version_ | 1848748609521057792 |
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| author | Brown, S. Duncan, Alan Harris, Mark Roberts, J. Taylor, K. |
| author_facet | Brown, S. Duncan, Alan Harris, Mark Roberts, J. Taylor, K. |
| author_sort | Brown, S. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | We introduce the (panel) zero-inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to the general practitioner (GP) using individual-level data from the British Household Panel Survey. The ZIIR model simultaneously estimates the probability of visiting the GP and the frequency of visits (defined by given numerical intervals in the data). The results show that different socio-economic factors influence the probability of visiting the GP and the frequency of visits. |
| first_indexed | 2025-11-14T07:07:46Z |
| format | Journal Article |
| id | curtin-20.500.11937-14387 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:07:46Z |
| publishDate | 2014 |
| publisher | John Wiley & Sons Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-143872019-02-19T05:34:54Z A Zero Inflated Regression Model for Grouped Data Brown, S. Duncan, Alan Harris, Mark Roberts, J. Taylor, K. Interval Regression Zero Inflated GP Visits Grouped Data We introduce the (panel) zero-inflated interval regression (ZIIR) model, which is ideally suited when data are in the form of groups, and there is an ‘excess’ of zero observations. We apply our new modelling framework to the analysis of visits to the general practitioner (GP) using individual-level data from the British Household Panel Survey. The ZIIR model simultaneously estimates the probability of visiting the GP and the frequency of visits (defined by given numerical intervals in the data). The results show that different socio-economic factors influence the probability of visiting the GP and the frequency of visits. 2014 Journal Article http://hdl.handle.net/20.500.11937/14387 10.1111/obes.12086 John Wiley & Sons Ltd fulltext |
| spellingShingle | Interval Regression Zero Inflated GP Visits Grouped Data Brown, S. Duncan, Alan Harris, Mark Roberts, J. Taylor, K. A Zero Inflated Regression Model for Grouped Data |
| title | A Zero Inflated Regression Model for Grouped Data |
| title_full | A Zero Inflated Regression Model for Grouped Data |
| title_fullStr | A Zero Inflated Regression Model for Grouped Data |
| title_full_unstemmed | A Zero Inflated Regression Model for Grouped Data |
| title_short | A Zero Inflated Regression Model for Grouped Data |
| title_sort | zero inflated regression model for grouped data |
| topic | Interval Regression Zero Inflated GP Visits Grouped Data |
| url | http://hdl.handle.net/20.500.11937/14387 |