Literature DB >> 3819606

Progress toward a more ethical method for clinical trials.

J B Kadane.   

Abstract

Methodology for conducting clinical trials of new drugs and treatments on people need not be regarded as fixed. After reviewing the currently most popular method (randomization) and its ethical problems, this paper explores the possibilities of a new method for conducting such trials. It relies on new Bayesian technology for eliciting the opinions of medical experts. These opinions are conditioned on specific predictor variables, and are held in a computer. At any stage in a trial, these opinions can be updated in the computer using the information collected in the trial up to that point. Consider as an admissible treatment for a patient having specific values of predictor variables only those treatments that at least one expert regards as best (in the computer model) for this patient. It is proposed that only admissible treatments, so defined, be allowed to be assigned to the patient. The ethical and statistical consequences of this principle are explored. Experience to date with a trial at Johns Hopkins designed on this principle is reported.

Entities:  

Keywords:  Biomedical and Behavioral Research

Mesh:

Year:  1986        PMID: 3819606     DOI: 10.1093/jmp/11.4.385

Source DB:  PubMed          Journal:  J Med Philos        ISSN: 0360-5310


  6 in total

1.  An analysis of finder's fees in clinical research.

Authors:  E A Maher
Journal:  CMAJ       Date:  1994-01-15       Impact factor: 8.262

2.  Clinical trials and rare diseases: a way out of a conundrum.

Authors:  R J Lilford; J G Thornton; D Braunholtz
Journal:  BMJ       Date:  1995-12-16

3.  Equipoise and the ethics of randomization.

Authors:  R J Lilford; J Jackson
Journal:  J R Soc Med       Date:  1995-10       Impact factor: 5.344

4.  Challenges in the evaluation, consent, ethics and history of early clinical trials - Implications of the Tuskegee 'trial' for safer and more ethical clinical trials.

Authors:  Pedro R Lowenstein; Elijah D Lowenstein; Maria G Castro
Journal:  Curr Opin Mol Ther       Date:  2009-10

5.  Adjusting trial results for biases in meta-analysis: combining data-based evidence on bias with detailed trial assessment.

Authors:  K M Rhodes; J Savović; R Elbers; H E Jones; J P T Higgins; J A C Sterne; N J Welton; R M Turner
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2019-07-01       Impact factor: 2.483

6.  Borrowing information across patient subgroups in clinical trials, with application to a paediatric trial.

Authors:  Deborah Ford; Ian R White; Rebecca M Turner; Anna Turkova; Cecilia L Moore; Alasdair Bamford; Moherndran Archary; Linda N Barlow-Mosha; Mark F Cotton; Tim R Cressey; Elizabeth Kaudha; Abbas Lugemwa; Hermione Lyall; Hilda A Mujuru; Veronica Mulenga; Victor Musiime; Pablo Rojo; Gareth Tudor-Williams; Steven B Welch; Diana M Gibb
Journal:  BMC Med Res Methodol       Date:  2022-02-20       Impact factor: 4.615

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.