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The analysis of sequential clinical trials

Biometrika, 1979
SUMMARY The conduct of a sequential clinical trial is considered in two distinct stages, the planning of the trial and the analysis of the results. Tests based on straight line stopping boundaries are considered. The planning stage is described in terms of existing theory and results are presented which allow significance levels to be quoted and ...
Whitehead, John, Jones, David
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Interpreting trial sequential analysis

Transfusion, 2016
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Chai‐Adisaksopha, Chatree   +2 more
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Sequential Analysis of Variance for Medical Trials

Methods of Information in Medicine, 1969
The analysis of variance is one of the most widely used tools for analyzing quantitative data. It is shown here how this technique can be applied sequentially. Different sampling and test procedures are described in terms of a simple example. An attempt is made to show how these methods can be used in analyzing medical trials where the observations ...
R D, Jones, K, Hinkelmann
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Sequential analysis of binomial clinical trials

Biometrika, 1975
We examine results produced by a new likelihood stopping rule for terminating clinical trials, designed to choose the better of two competing dichotomous treatments, or to decide that they are equal. A method for adaptive assignment is also discussed, for the purpose of reducing the number of tests with the poorer treatment.
Simon, Richard   +2 more
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Sequential Analysis of Comparative Clinical Trials

Biometrika, 1979
SUMMARY An adaptive procedure is proposed for a comparative clinical trial of two treatments in which the response variable has a normal distribution. Patients are assumed to 'arrive' in twos, and at each stage, after each pair has been treated, a decision is made either to continue to the next stage, or to suspend randomization and to assign patients ...
Begg, Colin B., Mehta, Cyrus R.
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Trial sequential methods for meta‐analysis

Research Synthesis Methods, 2013
Statistical methods for sequential meta‐analysis have applications also for the design of new trials. Existing methods are based on group sequential methods developed for single trials and start with the calculation of a required information size. This works satisfactorily within the framework of fixed effects meta‐analysis, but conceptual difficulties
Kulinskaya, Elena, Wood, John
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Sequential Analysis of Survival Times in Clinical Trials

Biometrical Journal, 1986
AbstractThis paper provides a synopsis of statistical methods which can be used for the sequential analysis of possibly censored survival times in clinical trials. Especially, results on the asymptotic behaviour of the Breslow‐Haug statistic and on the sequential version of the logrank statistic are presented in a standardized terminology. In addition,
Olschewski, M., Schumacher, M.
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The Design and Analysis of Sequential Clinical Trials.

Biometrics, 1983
Clinical Trials. Allocating Patients to Treatments. Measurement of Treatment Difference. The Design of a Sequential Trial Using the Boundaries Approach. The Analysis of a Sequential Trial. Alternative Approaches to the Design and Analysis of Sequential Clinical Trials. Prognostic Factors. The Comparison of More than Two Treatments.
R. J. Prescott, J. Whitehead
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Approaches for Optimal Sequential Decision Analysis in Clinical Trials

Biometrics, 1998
Unlike traditional approaches, Bayesian methods enable formal combination of expert opinion and objective information into interim and final analyses of clinical trial data. However, most previous Bayesian approaches have based the stopping decision on the posterior probability content of one or more regions of the parameter space, thus implicitly ...
Carlin, Bradley P.   +2 more
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A New Procedure for Group Sequential Analysis in Clinical Trials

Biometrics, 1992
Since Pocock (1977, Biometrika 64, 191-199), many methods have been developed for group sequential analysis of clinical trials. However, these methods remain underemployed partly because of inconsistencies of sequential testing [Berry (1987, The Statistician 36, 181-189)].
Falissard, Bruno, Lellouch, Joseph
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