研究生: |
張雪愉 |
---|---|
論文名稱: |
連續型資料的結果依賴採樣設計之配置選擇 Allocation Determination for Outcome-Dependent Sampling Design with Continuous Outcome |
指導教授: | 呂翠珊 |
學位類別: |
碩士 Master |
系所名稱: |
數學系 Department of Mathematics |
論文出版年: | 2012 |
畢業學年度: | 100 |
語文別: | 英文 |
論文頁數: | 117 |
中文關鍵詞: | 結果依賴採樣設計 、簡單隨機抽樣設計 |
英文關鍵詞: | Outcome-dependnet sampling design, simple random sampling design |
論文種類: | 學術論文 |
相關次數: | 點閱:124 下載:11 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
在流行病學研究上, 結果依賴採樣設計(outcome-dependent sampling design)已被證實能提高實驗有效性並節省研究成本。雖然Zhou 等人(2002)已有針對連續型資料的結果依賴採樣設計,在抽樣選擇上提出一些建議,但我們想更深入討論此設計的配置選擇是否具有更一般性且更精確的準則,並研究此設計在實際使用上是否有所限制。
我們將進行大量的模擬研究,討論結果依賴採樣設計在不同參數設定下的參數估計表現情形,並以簡單隨機抽樣設計作為對照標準,嘗試使用不同抽樣策略,藉此提高有效性。
論文最後,我們會針對此設計在配置選擇上提出一些建議及研究方向,給未來考慮使用此設計進行研究的人做為參考依據。
In epidemiological studies, an outcome-dependent sampling (ODS) design has been shown to enhance study effciency and reduce the cost. Although Zhou et al. (2002) have given some criteria about the sample selection under the ODS scheme, we further discuss whether there are more general and accurate criteria about the choice of the sample selection and explore the limitation on the use of the ODS scheme. In our research, we investigate the performance of the ODS design, comparing to the simple random sampling (SRS) design, under different settings with various sampling strategies to improve efficiency through simulation studies. In the end, we give researchers some suggestions and directions when using the ODS design on the observational studies in the future.
[1] Liao, D., Myers, R., Hunt, S., Shahar, E., Paton, C. Burke, G., Province, M., and Heiss, G. (1997). Familial history of stroke risk: the family heart study. Stroke 28, 1908-1912.
[2] Longnecker, M., Hoffman, H., Klebanoff, M. A., Brock, J. W., Zhou, H., Needham, L., Adera, T., Guo, X., and Gray, K. A. (2004). In utero exposure to polychlorinated biphenyls and sensorineural hearing loss in 8-year-old children. Neurotoxicology and Teratology 26, 629-637.
[3] Owen, A. B. (1988). Empirical likelihood ratio confidence intervals for a single functional. Biometrika 75, 237-249.
[4] Owen, A. B. (1990). Empirical likelihood for confidence regions. Annals of Statistics 18, 90-120.
[5] Qin, J. and Lawless, J. F. (1994). Empirical likelihood and general estimating equations. Annals of Statistics 22, 300-325.
[6] Song, R., Zhou, H., and Kosorok, M. (2009). A note on semiparametric ecient inference for two-stage outcome-dependent sampling with a continuous outcome. Biometrika 96,
221-228.
[7] Wang, X. and Zhou, H. (2006). A semiparametric empirical likelihood method for biased sampling schemes with auxiliary covariates. Biometrics 62, 1149-1160.
[8] Weaver, M. A. and Zhou, H. (2005). An estimated likelihood method for continuous outcome regression models with outcome-dependent sampling. Journal of the American
Statistical Association 100, 459-469.
[9] Zhou, H., Weaver, M. A., Qin, J., Longnecker, M. P., and Wang, M. C. (2002) A semi-parametric empirical likelihood method for data from an outcome-dependent sampling scheme with a continuous outcome. Biometrics 58, 413-421.
[10] Zhou, H., Song R., Wu Y., and Qin J. (2010). Statistical inference for a two-stage outcome-dependent sampling design with a continuous outcome. Biometrics 67, 194-202.