Inference for the break point in segmented regression with application to longitudinal data
This paper considers inference for the break point in the segmented regression or piece-wise regression model. Standard likelihood theory does not apply because the break point is absent under the null hypothesis. We use results by DAVIES for this type of non-standard set-up [Biometrika 64 (1977), 2...
| Main Authors: | , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2003
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| Online Access: | https://hdl.handle.net/10568/35339 |
| _version_ | 1855542391076814848 |
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| author | Piepho, Hans-Peter Ogutu, Joseph O. |
| author_browse | Ogutu, Joseph O. Piepho, Hans-Peter |
| author_facet | Piepho, Hans-Peter Ogutu, Joseph O. |
| author_sort | Piepho, Hans-Peter |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper considers inference for the break point in the segmented regression or piece-wise regression model. Standard likelihood theory does not apply because the break point is absent under the null hypothesis. We use results by DAVIES for this type of non-standard set-up [Biometrika 64 (1977), 247-254 and 74 (1987), 33-43] to obtain a test for the null hypothesis of no break point. A confidence interval can be constructed provided replicate data are available. The methods are exemplified using two longitudinal datasets, the one from ecology, the other from pharmacology. |
| format | Journal Article |
| id | CGSpace35339 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2003 |
| publishDateRange | 2003 |
| publishDateSort | 2003 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | CGSpace353392024-08-27T12:27:43Z Inference for the break point in segmented regression with application to longitudinal data Piepho, Hans-Peter Ogutu, Joseph O. information services This paper considers inference for the break point in the segmented regression or piece-wise regression model. Standard likelihood theory does not apply because the break point is absent under the null hypothesis. We use results by DAVIES for this type of non-standard set-up [Biometrika 64 (1977), 247-254 and 74 (1987), 33-43] to obtain a test for the null hypothesis of no break point. A confidence interval can be constructed provided replicate data are available. The methods are exemplified using two longitudinal datasets, the one from ecology, the other from pharmacology. 2003-07 2014-04-14T10:56:03Z 2014-04-14T10:56:03Z Journal Article https://hdl.handle.net/10568/35339 en Limited Access Wiley Piepho, H.P. and Ogutu, J.O. 2003. Inference for the break point in segmented regression with application to longitudinal data. Biometrical Journal 45(5): 591-601. |
| spellingShingle | information services Piepho, Hans-Peter Ogutu, Joseph O. Inference for the break point in segmented regression with application to longitudinal data |
| title | Inference for the break point in segmented regression with application to longitudinal data |
| title_full | Inference for the break point in segmented regression with application to longitudinal data |
| title_fullStr | Inference for the break point in segmented regression with application to longitudinal data |
| title_full_unstemmed | Inference for the break point in segmented regression with application to longitudinal data |
| title_short | Inference for the break point in segmented regression with application to longitudinal data |
| title_sort | inference for the break point in segmented regression with application to longitudinal data |
| topic | information services |
| url | https://hdl.handle.net/10568/35339 |
| work_keys_str_mv | AT piephohanspeter inferenceforthebreakpointinsegmentedregressionwithapplicationtolongitudinaldata AT ogutujosepho inferenceforthebreakpointinsegmentedregressionwithapplicationtolongitudinaldata |