Results 1 to 10 of about 1,520,355 (228)

Balance algorithm for cluster randomized trials [PDF]

BMC Medical Research Methodology, 2008
Background Within cluster randomized trials no algorithms exist to generate a full enumeration of a block randomization, balancing for covariates across treatment arms.
Ben R Carter, Kerenza Hood, RA Fisher, EM Beller, VW Burger, GEP Box, DR Taves, SJ Pocock, JH Klotz, AC Atkinson, S Senn, NW Scott, DG Altman, ICH E9(1) Expert working group, H Green, VW Berger, GM Raab, VW Berger, VW Berger, VW Berger, KF Schulz, KF Schulz, H Moore, GM Raab, R Development Core Team, VW Berger, The Cochrane Collaboration, The Pre-Empt Project Team, P Townsend, DL Fone   +29 more
core   +10 more sources

Hygiene heroes: a cluster-randomized trial of a hygiene curriculum in Tamil Nadu schools [PDF]

BMC Public Health
Background Respiratory infections and diarrheal diseases are major causes of illness and school absences for school-aged children. Both can be prevented by handwashing with soap. Unfortunately, at most schools in low-resource settings, soap and water are
David Levine, Ishira Shrivatsa, Malathy Duraisamy, Geetha Karthick   +3 more
doaj   +2 more sources

Planning a cluster randomized controlled trial Methodological issues [PDF]

Nursing Research, 2009
The standard approach in a randomized controlled trial (RCT) is to randomize individuals to intervention and control groups. Yet, nursing and other health interventions are often implemented at the levels of health service organizational unit or geographical area. It may be more appropriate to conduct a cluster RCT.
Christie, Janice, O'Halloran, Peter, Stevenson, Michael   +2 more
core   +5 more sources

Generalized estimating equations for modeling cluster randomized trial data on smoking cessation among tuberculosis patients. [PDF]

PLoS ONE
There is a paucity of studies applying Generalized Estimating Equations (GEE) for longitudinal analysis of smoking cessation outcomes within the framework of a cluster randomized trial, especially among tuberculosis (TB) patients.
Vasantha Mahalingam, Ratnakar Singh, Ramesh Kumar Santhanakrishnan, Adhin Bhaskar, Ponnuraja Chinnaiyan   +4 more
doaj   +2 more sources

How the Cluster-randomized Trial “Works”

Clinical Infectious Diseases, 2019
AbstractCluster-randomized trials (CRTs) are able to address research questions that randomized controlled trials (RCTs) of individual patients cannot answer. Of great interest for infectious disease physicians and infection control practitioners are research questions relating to the impact of interventions on infectious disease dynamics at the whole ...
J. Hurley
openaire   +3 more sources

Key considerations for designing, conducting and analysing a cluster randomized trial

International Journal of Epidemiology, 2023
Not only do cluster randomized trials require a larger sample size than individually randomized trials, they also face many additional complexities. The potential for contamination is the most commonly used justification for using cluster randomization ...
K. Hemming, M. Taljaard
semanticscholar   +1 more source

A community-based group randomized trial to increase aspirin use for primary prevention of cardiovascular disease: Study protocol and baseline results for the “Ask About Aspirin” initiative

Contemporary Clinical Trials Communications, 2021
Background: USPSTF evidence-based recommendations for the use of low-dose aspirin for primary prevention of cardiovascular disease were published in 2009.
Sue Duval, Jeremy R. Van't Hof, Niki C. Oldenburg, Milton Eder, John R. Finnegan, Jr., Russell V. Luepker   +5 more
doaj   +1 more source

Electronic Alerts to Improve Heart Failure Therapy in Outpatient Practice: A Cluster Randomized Trial.

Journal of the American College of Cardiology, 2022
BACKGROUND Use of GDMT is under-prescribed in patients with HFrEF. OBJECTIVES To examine whether targeted and tailored EHR alerts recommending GDMT in eligible patients with HFrEF improves utilization.
Lama Ghazi, Yu Yamamoto, R. Riello, Claudia Coronel-Moreno, Melissa L. Martin, Kyle D. O’Connor, M. Simonov, Joanna C Huang, Temitope O. Olufade, J. McDermott, R. Dhar, S. Inzucchi, E. Velazquez, F. Wilson, N. Desai, Tariq Ahmad   +15 more
semanticscholar   +1 more source

Empirical power and sample size calculations for cluster-randomized and cluster-randomized crossover studies. [PDF]

PLoS ONE, 2012
In recent years, the number of studies using a cluster-randomized design has grown dramatically. In addition, the cluster-randomized crossover design has been touted as a methodological advance that can increase efficiency of cluster-randomized studies ...
Nicholas G Reich, Jessica A Myers, Daniel Obeng, Aaron M Milstone, Trish M Perl   +4 more
doaj   +1 more source

Impact of community masking on COVID-19: A cluster-randomized trial in Bangladesh

Science, 2021
Description Persuading people to mask Even in places where it is obligatory, people tend to optimistically overstate their compliance for mask wearing. How then can we persuade more of the population at large to act for the greater good?
Jason Abaluck, L. Kwong, Ashley R Styczynski, Ashraful Haque, Md. Alamgir Kabir, Ellen Bates-Jefferys, Emily Crawford, J. Benjamin-Chung, Shabib Raihan, S. Rahman, Salim Benhachmi, Neeti Zaman Bintee, P. Winch, Maqsud Hossain, Hasanpour Reza, Abdullah All Jaber, Shawkee Gulshan Momen, Aura Rahman, Faika Laz Banti, T. S. Huq, S. Luby, A. M. Mobarak   +21 more
semanticscholar   +1 more source