Literature DB >> 4075806

Early decision in clinical trials when the treatment differences are small. Experience of a controlled trial in head trauma.

S C Choi, P J Smith, D P Becker.   

Abstract

In a long-term clinical trial, it is customary to review the results of the data periodically. Two possible situations suggesting a possible early decision in hypothesis testing may arise. First, the difference in outcome may be sufficiently convincing without further evidence from additional data. Second, the difference may be such that it is not likely to be significant even if additional data are collected. This article is mainly concerned with a method for reaching a decision under the second situation, in particular when inadequate patient acquisition has occurred. A predicted distribution of likely future outcomes on the basis of data already accumulated is used to evaluate what might happen if the trial were carried on to the designed end. The method is intended for the case where the outcome variable is dichotomous and the two groups are compared for the difference in proportions.

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Year:  1985        PMID: 4075806     DOI: 10.1016/0197-2456(85)90104-7

Source DB:  PubMed          Journal:  Control Clin Trials        ISSN: 0197-2456


  7 in total

1.  Optimal and lead-in adaptive allocation for binary outcomes: a comparison of Bayesian methodologies.

Authors:  Roy T Sabo; Ghalib Bello
Journal:  Commun Stat Theory Methods       Date:  2016-04-08       Impact factor: 0.893

2.  A predictive probability design for phase II cancer clinical trials.

Authors:  J Jack Lee; Diane D Liu
Journal:  Clin Trials       Date:  2008       Impact factor: 2.486

Review 3.  Ethical considerations in neuroclinical trials.

Authors:  S N Macciocchi; W A Alves
Journal:  Neurosurg Rev       Date:  1997       Impact factor: 3.042

4.  Predicted Interval Plots (PIPS): A Graphical Tool for Data Monitoring of Clinical Trials.

Authors:  Lingling Li; Scott R Evans; Hajime Uno; L J Wei
Journal:  Stat Biopharm Res       Date:  2009-11-01       Impact factor: 1.452

5.  A sequential conditional probability ratio test procedure for comparing diagnostic tests.

Authors:  Liansheng Tang; Ming Tan; Xiao-Hua Zhou
Journal:  J Appl Stat       Date:  2010-10-01       Impact factor: 1.404

6.  The utility of Bayesian predictive probabilities for interim monitoring of clinical trials.

Authors:  Benjamin R Saville; Jason T Connor; Gregory D Ayers; JoAnn Alvarez
Journal:  Clin Trials       Date:  2014-05-28       Impact factor: 2.486

7.  Interim Monitoring for Futility in Clinical Trials with Two Co-primary Endpoints Using Prediction.

Authors:  Koko Asakura; Scott R Evans; Toshimitsu Hamasaki
Journal:  Stat Biopharm Res       Date:  2019-11-04       Impact factor: 1.452

  7 in total

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