4.2 Article

Designing a non-inferiority study in kidney transplantation: a case study

期刊

PHARMACEUTICAL STATISTICS
卷 10, 期 5, 页码 427-432

出版社

WILEY
DOI: 10.1002/pst.511

关键词

non-inferiority margin; 95/95 rule; preservation method; synthesis approach; hybrid approach; meta-analysis; constancy

向作者/读者索取更多资源

In organ transplantation, placebo-controlled clinical trials are not possible for ethical reasons, and hence non-inferiority trials are used to evaluate new drugs. Patients with a transplanted kidney typically receive three to four immunosuppressant drugs to prevent organ rejection. In the described case of a non-inferiority trial for one of these immunosuppressants, the dose is changed, and another is replaced by an investigational drug. This test regimen is compared with the active control regimen. Justification for the non-inferiority margin is challenging as the putative placebo has never been studied in a clinical trial. We propose the use of a random-effect meta-regression, where each immunosuppressant component of the regimen enters as a covariate. This allows us to make inference on the difference between the putative placebo and the active control. From this, various methods can then be used to derive the non-inferiority margin. A hybrid of the 95/95 and synthesis approach is suggested. Data from 51 trials with a total of 17,002 patients were used in the meta-regression. Our approach was motivated by a recent large confirmatory trial in kidney transplantation. The results and the methodological documents of this evaluation were submitted to the Food and Drug Administration. The Food and Drug Administration accepted our proposed non-inferiority margin and our rationale. Copyright (C) 2011 John Wiley & Sons, Ltd.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Mathematics, Interdisciplinary Applications

Advances in Modeling Model Discrepancy: Comment on Wu and Browne (2015)

Robert C. MacCallum, Anthony O'Hagan

PSYCHOMETRIKA (2015)

Article Biology

Robust Meta-Analytic-Predictive Priors in Clinical Trials with Historical Control Information

Heinz Schmidli, Sandro Gsteiger, Satrajit Roychoudhury, Anthony O'Hagan, David Spiegelhalter, Beat Neuenschwander

BIOMETRICS (2014)

Article Mathematics, Applied

Learning about physical parameters: the importance of model discrepancy

Jenny Brynjarsdottir, Anthony O'Hagan

INVERSE PROBLEMS (2014)

Article Statistics & Probability

Eliciting expert judgements about a set of proportions

Rita Esther Zapata-Vazquez, Anthony O'Hagan, Leonardo Soares Bastos

JOURNAL OF APPLIED STATISTICS (2014)

Article Engineering, Civil

Using a Negative Binomial Regression Model with a Bayesian Tuner to Estimate Failure Probability for Sewerage Infrastructure

Alec Erskine, Tim Watson, Anthony O'Hagan, Samantha Ledgar, Deborah Redfearn

JOURNAL OF INFRASTRUCTURE SYSTEMS (2014)

Article Instruments & Instrumentation

Eliciting and using expert knowledge in metrology

Anthony O'Hagan

METROLOGIA (2014)

Article Statistics & Probability

The Role of Expert Judgment in Statistical Inference and Evidence-Based Decision-Making

Naomi C. Brownstein, Thomas A. Louis, Anthony O'Hagan, Jane Pendergast

AMERICAN STATISTICIAN (2019)

Article Biology

Predictively consistent prior effective sample sizes

Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, Anthony O'Hagan

BIOMETRICS (2020)

Editorial Material Biology

Rejoinder to Predictively consistent prior effective sample sizes, by Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, and Anthony O'Hagan

Beat Neuenschwander, Sebastian Weber, Heinz Schmidli, Anthony O'Hagan

BIOMETRICS (2020)

Article Psychology, Developmental

Response (minimum clinically relevant change) in ASD symptoms after an intervention according to CARS-2: consensus from an expert elicitation procedure

Lucie Jurek, Matias Baltazar, Sheffali Gulati, Neda Novakovic, Maria Nunez, Jeremy Oakley, Anthony O'Hagan

Summary: Experts in the field of ASD have defined a response on the CARS2 scale for interventions in patients with Autism Spectrum Disorder, with a threshold of 4.5 points improvement in CARS-2 scores considered meaningful for evaluating intervention efficacy.

EUROPEAN CHILD & ADOLESCENT PSYCHIATRY (2022)

Correction Psychology, Developmental

Response (minimum clinically relevant change) in ASD symptoms after an intervention according to CARS-2: consensus from an expert elicitation procedure (Apr, 10.1007/s00787-021-01772-z, 2021)

Lucie Jurek, Matias Baltazar, Sheffali Gulati, Neda Novakovic, Maria Nunez, Jeremy Oakley, Anthony O'Hagan

EUROPEAN CHILD & ADOLESCENT PSYCHIATRY (2023)

Editorial Material Chemistry, Analytical

Meaningful expression of uncertainty in measurement

Maurice Cox, Anthony O'Hagan

Summary: The Guide to the expression of uncertainty in measurement (GUM) has been the definitive guide for metrologists on measurement uncertainty since 1993. In this article, a new measure of uncertainty called characteristic uncertainty is proposed as a more suitable alternative to standard uncertainty. The characteristic uncertainty is recommended for reporting measurement results and the median estimate is advocated as the measured value. Simple propagation of the median and characteristic uncertainty is proposed for propagating uncertainty in a measurement model, which is shown to be simpler and at least as reliable and accurate as the GUM uncertainty framework.

ACCREDITATION AND QUALITY ASSURANCE (2022)

Article Pharmacology & Pharmacy

Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study

Bjoern Holzhauer, Lisa Hampson, John Paul Gosling, Bjoern Bornkamp, Joseph Kahn, Markus R. Lange, Wen-Lin Luo, Caterina Brindicci, David Lawrence, Steffen Ballerstedt, Anthony O'Hagan

Summary: Pharmaceutical companies often need to make decisions about drug development programs based on limited knowledge from early stage clinical trials. This article discusses the use of expert judgements to synthesize evidence on unknown quantities of interest. Two approaches within the SHELF framework are presented for establishing a multivariate distribution for related quantities. The article also demonstrates how these approaches were used in assessing the probability of success for an asthma drug's registrational program, with the experts' judgements aligning well with the final trial results.

PHARMACEUTICAL STATISTICS (2022)

Article Instruments & Instrumentation

Simple informative prior distributions for Type A uncertainty evaluation in metrology

Anthony O'Hagan, Maurice Cox

Summary: The expression of uncertainty in a measurement should be based on the metrologist's judgment and expertise, as well as on data and other relevant information sources. However, current guidelines only consider data to be relevant in statistical evaluation, neglecting the potential usefulness of other information sources. Bayesian statistical methods, which allow the use of prior information, have been proposed as a solution to this issue, but the metrology community has shown resistance to using subjective prior probability distributions. This paper presents two prior distributions for Type A evaluations, demonstrates their benefits, and provides guidance for verifying their validity.

METROLOGIA (2023)

Letter Social Sciences, Mathematical Methods

Probabilistic Population Forecasts for Informed Decision Making

Jakub Bijak, Isabel Alberts, Juha Alho, John Bryant, Thomas Buettner, Jane Falkingham, Jonathan J. Forster, Patrick Gerland, Thomas King, Luca Onorante, Nico Keilman, Anthony O'Hagan, Darragh Owens, Adrian Raftery, Hana Sevcikova, Peter W. F. Smith

JOURNAL OF OFFICIAL STATISTICS (2015)

暂无数据