Results 11 to 20 of about 32,743,025 (287)

Multivariate meta‐analysis using individual participant data [PDF]

Research Synthesis Methods, 2014
When combining results across related studies, a multivariate meta-analysis allows the joint synthesis of correlated effect estimates from multiple outcomes. Joint synthesis can improve efficiency over separate univariate syntheses, may reduce selective outcome reporting biases, and enables joint inferences across the outcomes.
Riley, R. D., Price, M. J., Jackson, D., Wardle, M., Gueyffier, François, Wang, J., Staessen, J. A., White, I. R.   +7 more
openaire   +4 more sources

Challenges In Performing An Individual Participant–level Data Meta-analysis [PDF]

European Urology Focus, 2023
Individual participant-data meta-analysis (IPDMA) uses data at the participant level to synthesize evidence on clinical decision-making. We discuss the differences from aggregate-data meta-analysis and the advantages and challenges of IPDMA. IPDMA provides an opportunity to study effect modifiers at the participant level and can reduce bias in ...
Henk, van der Worp, Gea A, Holtman, Marco H, Blanker   +2 more
openaire   +3 more sources

Estimating individualized treatment effects using an individual participant data meta-analysis

BMC Medical Research Methodology
Background One key aspect of personalized medicine is to identify individuals who benefit from an intervention. Some approaches have been developed to estimate individualized treatment effects (ITE) with a single randomized control trial (RCT) or ...
Florie Bouvier, Anna Chaimani, Etienne Peyrot, François Gueyffier, Guillaume Grenet, Raphaël Porcher   +5 more
doaj   +4 more sources

Malaria, malnutrition, and birthweight: A meta-analysis using individual participant data. [PDF]

PLoS Medicine, 2017
BackgroundFour studies previously indicated that the effect of malaria infection during pregnancy on the risk of low birthweight (LBW;
Jordan E Cates, Holger W Unger, Valerie Briand, Nadine Fievet, Innocent Valea, Halidou Tinto, Halidou Tinto, Umberto D'Alessandro, Sarah H Landis, Seth Adu-Afarwuah, Kathryn G Dewey, Feiko O Ter Kuile, Meghna Desai, Stephanie Dellicour, Peter Ouma, Julie Gutman, Martina Oneko, Laurence Slutsker, Dianne J Terlouw, Simon Kariuki, John Ayisi, Mwayiwawo Madanitsa, Victor Mwapasa, Per Ashorn, Kenneth Maleta, Ivo Mueller, Danielle Stanisic, Christentze Schmiegelow, John P A Lusingu, Anna Maria van Eijk, Melissa Bauserman, Linda Adair, Stephen R Cole, Daniel Westreich, Steven Meshnick, Stephen Rogerson   +35 more
doaj   +8 more sources

Post-traumatic stress disorder, trauma and parenting stress: an individual participant data meta-analysis

European Journal of Psychotraumatology
Background: Parental post-traumatic stress disorder (PTSD) symptoms are associated with heightened parenting stress, but it is unknown whether this relation depends on the timing (childhood or adulthood) and type of trauma (interpersonal or non ...
Laurien Meijer, Kathleen Thomaes, Matthijs Blankers, Maja Deković, Molly R. Franz, Rolf Kleber, Elise M. van de Putte, Elisa van Ee, Elena Camisasca, Steffany J. Fredman, Dominik Moser, Larry L. Mullins, Maria Muzik, Mathilde Overbeek, Abigail Palmer Molina, Jessica Riggs, Katherine Rosenblum, Kristin Samuelson, Daniel Schechter, Chiara Suttora, Catrin Finkenauer   +20 more
doaj   +5 more sources

Intent to share individual participant data of Indian clinical trials

The Lancet Regional Health - Southeast Asia, 2023
Ronak Borana, Jyoti Tyagi, Gian Luca Di Tanna, Vivekanand Jha, Soumyadeep Bhaumik   +4 more
doaj   +3 more sources

Individual participant data meta-analysis tips and tricks: troubleshooting commonly encountered issues of contacting trialists for individual participant data. [PDF]

JBI Evid Synth
Objective: We present a framework to guide researchers in contacting and retrieving trial data from trialists. This framework serves 2 purposes: i) to provide a consistent and transparent approach for contacting authors, and ii) to describe how to record clearly all contact attempts and to identify trialists who
Flanagan M, Gurrin LC, Li W, Patabendige M, Rolnik DL, Mol BW, Mol BW.   +6 more
europepmc   +3 more sources

Development of the individual participant data integrity tool for assessing the integrity of randomised trials using individual participant data

Research Synthesis Methods, 2023
Abstract Increasing integrity concerns in medical research have prompted the development of tools to detect untrustworthy studies. Existing tools primarily assess published aggregate data (AD), though scrutiny of individual participant data (IPD) is often required to detect trustworthiness ...
KE Hunter, M Aberoumand, S Libesman, JX Sotiropoulos, J Williams, W Li, J Aagerup, BW Mol, R Wang, A Barba, N Shrestha, AC Webster, AL Seidler   +12 more
openaire   +2 more sources

An Introduction to Individual Participant Data Meta-analysis

Neurology, 2023
Meta-analysis using individual participant data (IPD-MA) from randomized controlled trials (RCTs) can strengthen evidence used for decision making and is considered the "gold standard" approach. In this study, we present the importance, properties, and main approaches of conducting an IPD-MA. We exemplify the main approaches of conducting an IPD-MA and
Areti Angeliki Veroniki, Georgios Seitidis, Georgios Tsivgoulis, Aristeidis H. Katsanos, Dimitris Mavridis   +4 more
openaire   +3 more sources

Research Note: Individual participant data (IPD) meta-analysis [PDF]

Journal of Physiotherapy, 2021
'Editorial Material'
Jill A Hayden, Richard D Riley
openaire   +2 more sources