作者：BECKER, N
摘要：A procedure is proposed for estimating a parameter of an epidemic model from [measles] household data. The procedure is essentially a method of moments for martingales. It is computationally convenient and is less restrictive in its model assumptions than the maximum likelihood methods previously used. The approach is illustrated and is useful when households contain susceptibles of different types.
作者：HOEL, PG; JENNRICH, RI
摘要：Design problems associated with estimating response probabilities in low dose carcinogen experiments are considered. Optimal designs are developed for a specific class of models and examples are used to investigate the potential gains that may result from their use. Their robustness with respect to the prior information needed for their construction is considered. An algorithm for producing the required optimal design is presented.
作者：AITCHISON, J
摘要：To obtain a sufficiently large diagnostic training set for differential diagnosis it is often necessary to use cases from 2 or more clinics. Important questions that arise are whether there are any differences between clinics in their methods of measuring the diagnostic features of cases, to what extent ignoring such differences invalidates any diagnostic system devised for these clinics and in what manner interclinic calibration information may be employed to make efficient use of the complet...
作者：TOLLEY, HD; NORMAN, JE
作者单位：National Academies of Sciences, Engineering & Medicine
摘要：A common estimator for comparing mortality rates in epidemiological studies, the time on trial or person years at risk estimator, is based on failure times with an underlying exponential distribution. Since in most follow-up studies individuals are also at risk of dying of unrelated causes, the time on trial estimator is generalized to the competing risk situation. Behavior of the resulting estimator is studied when the failure time of the 2 causes are distributed as dependent exponentials or ...
作者：HARRELL, FE; SEN, PK
作者单位：University of North Carolina; University of North Carolina Chapel Hill
摘要：For a censored sample from a bivariate normal distribution consisting of the first k of n order statistics of one variable and the induced order statistics of the other variable, the maximum likelihood estimators of the parameters and the associated large sample covariance matrix are derived. The likelihood ratio test for independence is given and its power properties are studied. These methods are useful in selection problems or in life testing situations in which concomitant variates are obs...
