Literature DB >> 29367320

Catalogue of bias: allocation bias.

David Nunan1, Carl Heneghan1, Elizabeth A Spencer1.   

Abstract

This article is part of a series of articles featuring the Catalogue of Bias introduced in this volume of BMJ Evidence-Based Medicine that describes allocation bias and outlines its potential impact on research studies and the preventive steps to minimise its risk. Allocation bias is a type of selection bias and is relevant to clinical trials of interventions. Knowledge of interventions prior to group allocation can result in systematic differences in important characteristics that could influence study findings. Allocation bias can overestimate effect size by up to 30%-40%. Sequentially numbered, opaque, sealed envelopes; containers; pharmacy-controlled randomisation and central computer randomisation are methods to minimise allocation bias. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Keywords:  clinical trials; epidemiology

Mesh:

Year:  2018        PMID: 29367320     DOI: 10.1136/ebmed-2017-110882

Source DB:  PubMed          Journal:  BMJ Evid Based Med        ISSN: 2515-446X


  3 in total

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Authors:  Qurrat Ul Ain; Mehak Sarfraz; Gayuk Kalih Prasesti; Triwedya Indra Dewi; Neng Fisheri Kurniati
Journal:  Biomolecules       Date:  2021-10-05

Review 2.  Use of ultraviolet-C in environmental sterilization in hospitals: A systematic review on efficacy and safety.

Authors:  Clysly Celine R Ramos; Josemaria Lorenzo A Roque; Diane B Sarmiento; Luis Enrico G Suarez; Janela Tanya P Sunio; Kaezzy Ila B Tabungar; Geraldine Susan C Tengco; Phylis C Rio; Allan L Hilario
Journal:  Int J Health Sci (Qassim)       Date:  2020 Nov-Dec

Review 3.  Efficacy of Targeted Temperature Management after Pediatric Cardiac Arrest: A Meta-Analysis of 2002 Patients.

Authors:  Wojciech Wieczorek; Jarosław Meyer-Szary; Milosz J Jaguszewski; Krzysztof J Filipiak; Maciej Cyran; Jacek Smereka; Aleksandra Gasecka; Kurt Ruetzler; Lukasz Szarpak
Journal:  J Clin Med       Date:  2021-03-30       Impact factor: 4.241

  3 in total

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