參考文獻 |
[1]Carey, J. R. & Liedo, P. (1995). Life Table Aging Rates in Large Medfly Cohorts. Experimental Gerontology, 30, 315-325.
[2]Carey, J. R. & Liedo, P. (1995). Sex Mortality Differentials and Selective Survival in Large Medfly Cohorts. The Gerontologist, 35, 588-596.
[3]Carey, J. R., Liedo, P. & Vaupel, J. W. (1995). A Male-Female Longevity Paradox in Medfly Cohorts. Journal of Animal Ecology, 64, 107-116.
[4]Carey, J. R. & Liedo, P. (1995). Mortality Dynamics of Density in the Mediterranean Fruit Fly. Experimental Gerontology, 30, 605-629.
[5]Carey, J. R. (1997). What Demographers Can Learn from Fruit Fly Actuarial Models and Biology. Demography, 34, 17-30.
[6]Carey, J. R., Liedo, P., M"uller, H. G.,Wang, J. L. & Chiou, J. M. (1998). Relationship of Age Patterns of Fecundity to Mortality, Longevity, and Lifetime Reproduction in a Large Cohort of Mediterranean Fruit Fly Females. Journal of Cenmtologv: Biological Sciences, 53A, B245-B251.
[7]Ciampi, A. & Etezadi-Amoli, J. (1985). A general model for testing the proportional hazards and the accelerated failure time hypothesis in the analysis of censored survival data with covariate. Communications in Statistics, 14, 651-667.
[8]Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society. Series B, 34, 187-220.
[9]Cox, D. R. & Oakes, D. (1984). Analysis of Survival Data. London:Chapman and Hall.
[10]Dafini, U. G. & Tsiatis, A. A. (1998). Evaluating surrogate markers of clinical outcome measured with error. Biometrics, 54, 1445-1462.
[11]Dempster, A. P., Laird, N. M. & Rubin, D. B. (1977). Maximum Likelihood from Imcomplete Data via the EM Algorithm. Journal of the Royal Statistical Society. Series B, 39, 1-38.
[12]Ding, J. & Wang, J. L. (2008). Modeling Longitudinal Data with Nonparametric Multiplicative Random Effects Jointly with Survival Data. Biometrics, 64, 546-556.
[13]Efron, B. & Tibshirani, R. J. (1993). An introduction to the Bootstrap. Chapman and Hall, New York.
[14]Henderson, R., Diggle, P. & Dobson, A. (2000). Joint Modeling of Longitudinal Measurements and Event Time Data. Biometrics, 1, 465-480.
[15]Hsieh, F.,Tseng, Y. K. & Wang, J. L. (2006). Joint Modeling of Survival and Longitudinal Data:Likelihood Approach Revisited. Biometrics, 62, 1037-1043.
[16]Rizopoulos, D., Verbeke, G. & Molenberghs, G. (2008). Shared Parameter Models under Random Effects Misspecification. Biometrika, 95, 63-74.
[17]Rizopoulos, D., Verbeke, G. & Lesaffre, E. (2009). Fully Exponential Laplace Approximations for the Joint Modeling of Survival and Longitudinal Data. Journalof the Royal Statistical Society B, 71, 637-654.
[18]Song, X., Davidian, M. & Tsiatis, A. (2002). A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data. Biometrics, 58, 742-753.
[19]Tseng, Y. K., Hsieh, F. & Wang, J. L. (2005). Joint Modeling of Accelerated Failure Time and Longitudinal Data. Biometrics, 92, 587–603.
[20]Tseng, Y. K., Su, Y. R., Mao, M. & Wang, J. L. (2015). An Extended Hazard Model with Longitudinal Covariates. Biometrika, 102, 135–150.
[21]Tsiatis, A. A. & Davidian, M. (2004). Joint Modeling of Longitudinal and Time-to-Event Data: an overview. Statistica Sinica, 14, 809–834.
[22]Wulfsohn, M. S. & Tsiatis, A. A. (1997). A Joint Model for Survival and Longitudinal Data Measured with Error. Biometrics, 53, 330-339.
[23]Zeng, D. & Cai, J. (2005). Asymptotic results for maximum likelihood estimators in joint analysis of repeated measurements and survival time. The Annals of Statistics, 33, 2132–2163.
[24]高欣如 (2006)。Cox 比例風險假設之探討與擴充風險模型之應用。國立中央大學統計研究所碩士論文。
[25]陳婉婷 (2006)。Cox 比例風險模型之參數估計-比較部分概似法與聯合模型。國立中央大學統計研究所碩士論文。
[26]黃穎慈 (2005)。以聯合模型探討地中海果蠅繁殖力與老化的關係。國立中央大學統計研究所碩士論文。 |