Advanced SearchSearch Tips
Comparative Study for Estimating Vaccine Efficacy in Vaccine Research under Heterogeneity
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Comparative Study for Estimating Vaccine Efficacy in Vaccine Research under Heterogeneity
Lee, Soo-Young; Lee, Jae-Won;
  PDF(new window)
In vaccine research, proportional hazards model including only first event have been widely used for estimating vaccine efficacy because it is easy to interpret and convenient. However, this method causes not only loss of information but also biased result when heterogeneity of study subject in exposure and susceptibility exists. Furthermore, it is hard to ignore the possibility that each event is correlated with each other in the repeated events. Therefore, we compare various statistical models to estimate vaccine efficacy under various situations with heterogeneity and event dependency.
Vaccine efficacy;repeated event;heterogeneity;survival analysis;
 Cited by
Aalen, O. O. (1988). Heterogeneity in survival analysis, statistics in Mediciene, 7, 1121-1137. crossref(new window)

Andersen, P. K. and Gill, R. D. (1982). Cox' Regression model for counting processes: A large sample study, The Annals of Statistics, 10, 1100-1120. crossref(new window)

Box-Steffensmeier, J. M. and De Boef, S. (2006). Repeated events survival models: The conditional frailty model, Statistics in Medicine, 25, 3518-3533. crossref(new window)

Brunet, R. C., Struchiner, C. J. and Halloran, M. E. (1993). On the distribution of vaccine protection under heterogeneous response, Mathematical Biosciences, 116, 111-125. crossref(new window)

Clayton, D. G. (1978). A model for association in bivariate life tables and its application in epidemilological studies of familial tendency in chronic disease incidence, Biometrika, 65, 141-151. crossref(new window)

Cox, D. R. (1972). Regression models and life-tables(with discussion), Journal of the Royal Statistical Society. Series B, 34, 187-220.

Duchateau, L., Janssen, P., Lindsey, P., Legrand, C., Nguti, R. and Sylvester, R. (2002). The shared frailty model and the power for heterogeneity tests in multicenter trials, Computational Statistics & Data Analysis, 40, 603-620. crossref(new window)

Gutierrez, R. G. (2002). Parametric frailty and shared frailty survival modes, The Stata Journal, 2, 22-44.

Greenwood, M. and Yule, U. G. (1915). The statistics of anti-typhoid and anti-cholera inoculations, and the interpretation of such statistics in general, Proceedings of the Royal Society of Medicine, 8, 113-194.

Halloran, M. E., Haber, M. and Longini, I. M. (1992). Interpretation and estimation of vaccine efficacy under heterogeneity, American Journal of Epidemiology, 136, 328-343. crossref(new window)

Halloran, M. E., Longini, I. M. Jr. and Stauchiner, C. J. (1996). Estimability and interpretation of vaccine efficacy using frailty mixing models, American Journal of Epidemiology, 144, 83-97. crossref(new window)

Hougaard, P. (2000). Analysis of Multivariate Survival Data, Springer, New York.

Klein, J. P. (1992). Semiparametric estimation of random effects using the Cox model based on the EM algorithm, Biomertrics, 48, 795-806. crossref(new window)

Klein, J. P. and Moeschberger, L. M. (1997). Survival Analysis-Techniques for Censored and Truncated Data, Springer, New York.

Liang, K. and Zeger, S. (1986). Longitudinal data analysis using generalized linear model, Biometrika, 73, 13-22. crossref(new window)

Longini, I. M., Halloran, M. E. and Harber, M. (1993). Estimation of vaccine efficacy from epidemics of acute infectious agents under vaccine-related heterogeneity, Mathematical Biosciences, 117, 271-281. crossref(new window)

Therneau, T. M. and Grambsch, P. M. (2000). Modeling Survival Data-Extending the Cox Model, Springer, New York.

Valim, C., Mezzetti, M., Maguire, J., Urdaneta, M. and Wypij, D. (2008). Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infecton, Philosophical Transactions of the Royal society A: Mathematical, Physical and Engineering Sciences, 366, 2347-2360. crossref(new window)

Wei, L. J., Lin, D. Y. and Weissfeld, L. (1989). Regression analysis of multivariate incomplete failure time data by modeling marginal distributions, Journal of the American Statistical Association, 84, 1065-1073. crossref(new window)

Zeger, S. L. and Liang, L. (1986). Longitudinal data analysis for discrete and continuous outcomes, Biometrics, 42, 121-130. crossref(new window)