Statistical approaches for evaluating surrogate outcomes in clinical trials: A systematic review-Reference-Cited by-同舟云学术

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Statistical approaches for evaluating surrogate outcomes in clinical trials: A systematic review

Published:2016-02-26 Issue:5 Volume:26 Page:859-879
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Ensor Hannah¹,Lee Robert J.¹,Sudlow Cathie²,Weir Christopher J.¹³

Affiliation:

1. Centre for Population Health Sciences, University of Edinburgh Medical School, Edinburgh, UK

2. Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK

3. Edinburgh Health Services Research Unit, University of Edinburgh, Western General Hospital, Edinburgh, UK

Funder

Medical Research Council

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2015.1094811

Reference119 articles.

1. Simplified modeling strategies for surrogate validation with multivariate failure-time data

2. Choice of units of analysis and modeling strategies in multilevel hierarchical models

3. Alternative methods to evaluate trial level surrogacy

4. Validation of Surrogate Markers in Multiple Randomized Clinical Trials with Repeated Measurements

5. Validation of Surrogate Markers in Multiple Randomized Clinical Trials with Repeated Measurements: Canonical Correlation Approach

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1. Early complete response as a validated surrogate marker in extranodal marginal zone lymphoma systemic therapy;Blood;2024-02-01

2. Statistical Challenges in Online Controlled Experiments: A Review of A/B Testing Methodology;The American Statistician;2023-09-08

3. Surrogate end points in cardio-thoracic trials: a call for better reporting and improved interpretation of trial findings;European Journal of Cardio-Thoracic Surgery;2022-09-02

4. Informed decision‐making: Statistical methodology for surrogacy evaluation and its role in licensing and reimbursement assessments;Pharmaceutical Statistics;2022-07

5. Separation and the information theory surrogate evaluation approach: A penalised likelihood solution;Pharmaceutical Statistics;2021-07-30

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