作者：PATEL, HI
摘要：A multivariate model is proposed for analysing repeated measures designs with changing or within-subject covariates. Under the assumption of multivariate normality the likelihood ratio tests are derived for testing certain linear hypotheses. Some special designs are discussed and a numerical example is given to illustrate the method for analysing a two-period crossover design.
作者：PORTIER, CJ
摘要：In most survival-sacrifice experiments for the detection and quantification of risks from chronic exposure to chemical agents, the onset of the condition of interest is not clinically observable. Cancer is typically such an event. In this paper, an approximate maximum likelihood method is proposed for parametric estimation of the distribution of unobservable tumour onset times in the presence of competing risks, when cause-of-death information is unavailable.
作者：HANNAN, EJ; KAVALIERIS, L; MACKISACK, M
