Biometrika

最新文章

• A MODIFICATION OF MOODS MEDIAN TEST FOR THE GENERALIZED BEHRENS-FISHER PROBLEM AI翻译
  作者：FLIGNER, MA; RUST, SW
  作者单位：University of Kentucky
• A NEW RANGE STATISTIC FOR COMPARISONS OF SEVERAL EXPONENTIAL LOCATION PARAMETERS AI翻译
  作者：CHEN, HJ
  摘要：With k representing independent exponential populations with unknown and possibly unequal location parameters, and with a common but unknown scale parameter, a complete random sample of common size n is drawn from each population. Based on those k samples, a new range statistic for comparing these exponential location parameters simultaneously, is proposed.
• ON THE LOSS OF INFORMATION THROUGH CENSORING AI翻译
  作者：BROOKS, RJ
  摘要：The expected gain in information provided by an experiment is used to investigate the loss of information when observations on lifetimes in reliability and survival studies are censored. It is assumed that the lifetime distribution is exponential. The loss of inormation through only obtaining data at given time points is also considered.
• ON THE MAXIMUM-LIKELIHOOD ESTIMATION OF THE PARAMETERS OF A GAUSSIAN MOVING AVERAGE PROCESS AI翻译
  作者：GODOLPHIN, EJ; DEGOOIJER, JG
  作者单位：University of Amsterdam
• THE TRUE CHARACTERISTIC FUNCTION OF THE F-DISTRIBUTION AI翻译
  作者：PHILLIPS, PCB
• CONSISTENCY AND EFFICIENCY OF INFERENCES WITH THE PARTIAL LIKELIHOOD AI翻译
  作者：SLUD, EV
  摘要：Under various parameterizations of the 2-sample survival problem with nuisance hazards and fixed or independent right-censoring, the consistency and efficiency of maximum partial likelihood estimators and partial likelihood score tests are investigated rigorously. Consistency of estimation is typical but full efficiency of tests seems to hold generally only when regression parameters and nuisance parameters enter the hazard function symmetrically.
• EFFICIENCY OF COXS MODEL IN ESTIMATING REGRESSION PARAMETERS WITH GROUPED SURVIVAL-DATA AI翻译
  作者：STEWART, WH; PIERCE, DA
  作者单位：Oregon State University
  摘要：The efficiency of nonparametric survival analysis (Cox, 1972, 1975) relative to parametric analysis is examined for grouped data. This setting avoids the difficulties of partial likelihood and allows standard likelihood methods to apply. The results are similar to results for ungrouped data, but are perhaps more easily understood. Some insight is also gained for problems involving time-dependent covariables and for problems with many covariables.
• CRAMER-VONMISES STATISTIC FOR TESTING EXPONENTIALITY WITH CENSORED SAMPLES AI翻译
  作者：SIRVANCI, M; LEVENT, I
  作者单位：George Washington University
• GROUP SEQUENTIAL-METHODS FOR CLINICAL-TRIALS ALLOWING EARLY ACCEPTANCE OF HO AND INCORPORATING COSTS AI翻译
  作者：GOULD, AL; PECORE, VJ
  作者单位：Merck & Company
  摘要：When interim accumulated results from a clinical trial clearly indicate that the null hypothesis should be accepted or rejected, ethical and cost considerations may dictate terminating the trial and making the appropriate decision. Pocock (1977) described a group sequential procedure for clinical trials that permits early termination only for rejecting the null hypothesis. This paper extends Pocock''s procedure to allow early termination with acceptance of the null hypothesis. Theoretical and ...
• A NOTE ON REGRESSION-ANALYSIS OF ORDINAL DATA WITH VARIABILITY OF CLASSIFICATION AI翻译
  作者：FAREWELL, VT
  摘要：The effect of observation variability in the classification of an ordinal response is examined within the framework of the proportional hazards regression model for ordinal data. A model is proposed and incorporates this type of variability and the behavior of the proportional hazards model when this new model is appropriate is examined. Four data sets are used to illustrate the practical application of the model [i.e., nausea for 219 patients receiving chemotherapy with and without cisplatin;...