Dynamic Random Effects Models for Times Between Repeated Events

[1]  Richard H. Jones,et al.  Longitudinal Data with Serial Correlation : A State-Space Approach , 1994 .

[2]  O. Aalen,et al.  Statistical analysis of repeated events forming renewal processes. , 1991, Statistics in medicine.

[3]  K S Chan,et al.  A dynamic frailty model for multivariate survival data. , 1997, Biometrics.

[4]  Philippe Lambert Modelling of repeated series of count data measured at unequally spaced times , 1996 .

[5]  J. E. Miller,et al.  A non-Gaussian state space model and application to prediction of records , 1986 .

[6]  Andrew C. Harvey,et al.  Forecasting, structural time series models and the Kalman filter: Selected answers to exercises , 1990 .

[7]  T. Louis,et al.  Tests of independence for bivariate survival data. , 1996, Biometrics.

[8]  Jerald F. Lawless,et al.  The Analysis of Recurrent Events for Multiple Subjects , 1995 .

[9]  Nicholas G. Polson,et al.  A Monte Carlo Approach to Nonnormal and Nonlinear State-Space Modeling , 1992 .

[10]  R. Gill,et al.  Variance component models for survival data , 1996 .

[11]  J F Lawless,et al.  State duration models in clinical and observational studies. , 1999, Statistics in medicine.

[12]  Ron Brookmeyer,et al.  Bivariate frailty model for the analysis of multivariate survival time , 1996, Lifetime data analysis.

[13]  Philippe Lambert Modelling of non-linear growth curves on series of correlated count data measured at unequally spaced times: a full likelihood based approach , 1996 .

[14]  Andrew Pickles,et al.  Generalizations and applications of frailty models for survival and event data , 1994, Statistical methods in medical research.

[15]  Dean A. Follmann,et al.  Distinguishing heterogeneity from decreasing hazard rates , 1988 .

[16]  Ludwig Fahrmeir,et al.  Dynamic modelling and penalized likelihood estimation for discrete time survival data , 1994 .

[17]  A. V. Peterson,et al.  On the regression analysis of multivariate failure time data , 1981 .

[18]  M. Pitt,et al.  Likelihood analysis of non-Gaussian measurement time series , 1997 .

[19]  S. Lundbye-Christensen,et al.  A longitudinal study of emergency room visits and air pollution for Prince George, British Columbia. , 1996, Statistics in medicine.

[20]  J P Klein,et al.  Estimation of variance in Cox's regression model with shared gamma frailties. , 1997, Biometrics.

[21]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[22]  T. Santner,et al.  An analysis of comparative carcinogenesis experiments based on multiple times to tumor. , 1980, Biometrics.

[23]  D. Clayton Some approaches to the analysis of recurrent event data , 1994, Statistical methods in medical research.

[24]  D. Byar Why data bases should not replace randomized clinical trials. , 1980, Biometrics.

[25]  J P Klein,et al.  Semiparametric estimation of random effects using the Cox model based on the EM algorithm. , 1992, Biometrics.

[26]  Mike K. P. So Time series with additive noise , 1999 .

[27]  Andrew Harvey,et al.  Time Series Models for Count or Qualitative Observations , 1989 .