A note on conditional AIC for linear mixed-effects models
文献类型：期刊论文
| 作者 | Liang, Hua1; Wu, Hulin1; Zou, Guohua2 |
| 刊名 | BIOMETRIKA
 |
| 出版日期 | 2008-09-01 |
| 卷号 | 95期号:3页码:773-778 |
| 关键词 | Akaike information criterion conditional likelihood longitudinal data marginal likelihood mixed-effects model model selection |
| ISSN号 | 0006-3444 |
| DOI | 10.1093/biomet/asn023 |
| 英文摘要 | The conventional model selection criterion, the Akaike information criterion, AIC, has been applied to choose candidate models in mixed-effects models by the consideration of marginal likelihood. Vaida & Blanchard (2005) demonstrated that such a marginal AIC and its small sample correction are inappropriate when the research focus is on clusters. Correspondingly, these authors suggested the use of conditional AIC. Their conditional AIC is derived under the assumption that the variance-covariance matrix or scaled variance-covariance matrix of random effects is known. This note provides a general conditional AIC but without these strong assumptions. Simulation studies show that the proposed method is promising. |
| WOS研究方向 | Life Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology ; Mathematics |
| 语种 | 英语 |
| WOS记录号 | WOS:000258861000018 |
| 出版者 | OXFORD UNIV PRESS |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/6190]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Liang, Hua |
| 作者单位 | 1.Univ Rochester, Med Ctr, Dept Biostat & Computat Biol, Rochester, NY 14642 USA 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liang, Hua,Wu, Hulin,Zou, Guohua. A note on conditional AIC for linear mixed-effects models[J]. BIOMETRIKA,2008,95(3):773-778. |
| APA | Liang, Hua,Wu, Hulin,&Zou, Guohua.(2008).A note on conditional AIC for linear mixed-effects models.BIOMETRIKA,95(3),773-778. |
| MLA | Liang, Hua,et al."A note on conditional AIC for linear mixed-effects models".BIOMETRIKA 95.3(2008):773-778. |
入库方式： OAI收割
来源：数学与系统科学研究院
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