Modelling Correlated Healthcare Costs with Many Zeros: A Two-Part Random Effects Approach
Healthcare costs typically exhibit a substantial proportion of zero values together with very large positive values. For example, healthy people have no costs recorded in a given year whereas certain individuals may incur large medical expenses that increase tremendously by disease severity. Moreove...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Academy of Taiwan Information Systems Research
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/27510 |
| _version_ | 1848752283644329984 |
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| author | Lee, Andy Hui, Y. Yau, K. |
| author2 | Wenchang Fang |
| author_facet | Wenchang Fang Lee, Andy Hui, Y. Yau, K. |
| author_sort | Lee, Andy |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Healthcare costs typically exhibit a substantial proportion of zero values together with very large positive values. For example, healthy people have no costs recorded in a given year whereas certain individuals may incur large medical expenses that increase tremendously by disease severity. Moreover, such semi-continuous data are often collected in hierarchical form and therefore correlated. A flexible two-part modelling approach is proposed to analyze the heterogeneous and correlated cost data. In the binary part, the odds of cost being positive are modelled using a logistic mixed regression model. In the continuous part, the mean cost given that costs have actually been incurred is assessed by a gamma mixed regression model. Random effects are incorporated within the two parts to account for correlation of the observations. Model fitting and inference are performed through the Gaussian quadrature technique, which can be implemented conveniently in statistical packages. The method is applied to evaluate the effectiveness of an occupational safety intervention program using longitudinal compensation claims cost data. The findings have important implications on healthcare administration and financial planning. |
| first_indexed | 2025-11-14T08:06:10Z |
| format | Conference Paper |
| id | curtin-20.500.11937-27510 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:06:10Z |
| publishDate | 2012 |
| publisher | Academy of Taiwan Information Systems Research |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-275102023-02-07T08:01:18Z Modelling Correlated Healthcare Costs with Many Zeros: A Two-Part Random Effects Approach Lee, Andy Hui, Y. Yau, K. Wenchang Fang Healthcare costs typically exhibit a substantial proportion of zero values together with very large positive values. For example, healthy people have no costs recorded in a given year whereas certain individuals may incur large medical expenses that increase tremendously by disease severity. Moreover, such semi-continuous data are often collected in hierarchical form and therefore correlated. A flexible two-part modelling approach is proposed to analyze the heterogeneous and correlated cost data. In the binary part, the odds of cost being positive are modelled using a logistic mixed regression model. In the continuous part, the mean cost given that costs have actually been incurred is assessed by a gamma mixed regression model. Random effects are incorporated within the two parts to account for correlation of the observations. Model fitting and inference are performed through the Gaussian quadrature technique, which can be implemented conveniently in statistical packages. The method is applied to evaluate the effectiveness of an occupational safety intervention program using longitudinal compensation claims cost data. The findings have important implications on healthcare administration and financial planning. 2012 Conference Paper http://hdl.handle.net/20.500.11937/27510 Academy of Taiwan Information Systems Research restricted |
| spellingShingle | Lee, Andy Hui, Y. Yau, K. Modelling Correlated Healthcare Costs with Many Zeros: A Two-Part Random Effects Approach |
| title | Modelling Correlated Healthcare Costs with Many Zeros: A Two-Part Random Effects Approach |
| title_full | Modelling Correlated Healthcare Costs with Many Zeros: A Two-Part Random Effects Approach |
| title_fullStr | Modelling Correlated Healthcare Costs with Many Zeros: A Two-Part Random Effects Approach |
| title_full_unstemmed | Modelling Correlated Healthcare Costs with Many Zeros: A Two-Part Random Effects Approach |
| title_short | Modelling Correlated Healthcare Costs with Many Zeros: A Two-Part Random Effects Approach |
| title_sort | modelling correlated healthcare costs with many zeros: a two-part random effects approach |
| url | http://hdl.handle.net/20.500.11937/27510 |