Testing for the presence of a cure fraction in clustered interval-censored survival data
Clustered interval-censored survival data are often encountered in clinical and epidemiological studies due to geographic exposures and periodic visits of patients. When a nonnegligible cured proportion exists in the population, several authors in recent years have proposed to use mixture cure model...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/99926 http://hdl.handle.net/10220/17510 |
| _version_ | 1826123152611082240 |
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| author | Xiang, Liming Ma, Xiangmei. |
| author2 | School of Physical and Mathematical Sciences |
| author_facet | School of Physical and Mathematical Sciences Xiang, Liming Ma, Xiangmei. |
| author_sort | Xiang, Liming |
| collection | NTU |
| description | Clustered interval-censored survival data are often encountered in clinical and epidemiological studies due to geographic exposures and periodic visits of patients. When a nonnegligible cured proportion exists in the population, several authors in recent years have proposed to use mixture cure models incorporating random effects or frailties to analyze such complex data. However, the implementation of the mixture cure modeling approaches may be cumbersome. Interest then lies in determining whether or not it is necessary to adjust the cured proportion prior to the mixture cure analysis. This paper mainly focuses on the development of a score for testing the presence of cured subjects in clustered and interval-censored survival data. Through simulation, we evaluate the sampling distribution and power behaviour of the score test. A bootstrap approach is further developed, leading to more accurate significance levels and greater power in small sample situations. We illustrate applications of the test using data sets from a smoking cessation study and a retrospective study of early breast cancer patients. |
| first_indexed | 2024-10-01T05:59:59Z |
| format | Journal Article |
| id | ntu-10356/99926 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:59:59Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | ntu-10356/999262020-03-07T12:34:49Z Testing for the presence of a cure fraction in clustered interval-censored survival data Xiang, Liming Ma, Xiangmei. School of Physical and Mathematical Sciences DRNTU::Science::Mathematics::Statistics Clustered interval-censored survival data are often encountered in clinical and epidemiological studies due to geographic exposures and periodic visits of patients. When a nonnegligible cured proportion exists in the population, several authors in recent years have proposed to use mixture cure models incorporating random effects or frailties to analyze such complex data. However, the implementation of the mixture cure modeling approaches may be cumbersome. Interest then lies in determining whether or not it is necessary to adjust the cured proportion prior to the mixture cure analysis. This paper mainly focuses on the development of a score for testing the presence of cured subjects in clustered and interval-censored survival data. Through simulation, we evaluate the sampling distribution and power behaviour of the score test. A bootstrap approach is further developed, leading to more accurate significance levels and greater power in small sample situations. We illustrate applications of the test using data sets from a smoking cessation study and a retrospective study of early breast cancer patients. 2013-11-08T07:09:26Z 2019-12-06T20:13:43Z 2013-11-08T07:09:26Z 2019-12-06T20:13:43Z 2013 2013 Journal Article Ma, X., & Xiang, L. (2013). Testing for the presence of a cure fraction in clustered interval-censored survival data. Australian & New Zealand journal of statistics, 55(2), 173-190. 1369-1473 https://hdl.handle.net/10356/99926 http://hdl.handle.net/10220/17510 10.1111/anzs.12023 en Australian & New Zealand journal of statistics |
| spellingShingle | DRNTU::Science::Mathematics::Statistics Xiang, Liming Ma, Xiangmei. Testing for the presence of a cure fraction in clustered interval-censored survival data |
| title | Testing for the presence of a cure fraction in clustered interval-censored survival data |
| title_full | Testing for the presence of a cure fraction in clustered interval-censored survival data |
| title_fullStr | Testing for the presence of a cure fraction in clustered interval-censored survival data |
| title_full_unstemmed | Testing for the presence of a cure fraction in clustered interval-censored survival data |
| title_short | Testing for the presence of a cure fraction in clustered interval-censored survival data |
| title_sort | testing for the presence of a cure fraction in clustered interval censored survival data |
| topic | DRNTU::Science::Mathematics::Statistics |
| url | https://hdl.handle.net/10356/99926 http://hdl.handle.net/10220/17510 |
| work_keys_str_mv | AT xiangliming testingforthepresenceofacurefractioninclusteredintervalcensoredsurvivaldata AT maxiangmei testingforthepresenceofacurefractioninclusteredintervalcensoredsurvivaldata |