Results 1 to 10 of about 2,229,935 (177)

Individual participant data (IPD) meta-analysis: An introduction – Narrative review [PDF]

Indian Journal of Anaesthesia
Systematic reviews and meta-analyses (MA) are accepted modalities for evidence synthesis in evidence-based medicine. However, as MA uses aggregate data that includes averaging patient characteristics and pooled effect estimates, it has limitations when ...
Ekta Rai, Vibhavari Naik, Aparna Williams, Mohan S. Kamath   +3 more
doaj   +4 more sources

Sharing individual participant data: through a systematic reviewer lens [PDF]

Trials, 2022
An increasing prevalence of data-sharing models, aimed at making individual participant data (IPD) from clinical trials widely available, should facilitate the conduct of systematic reviews and meta-analyses based on IPD. We have assessed these different
Larysa H. M. Rydzewska, Lesley A. Stewart, Jayne F. Tierney   +2 more
doaj   +6 more sources

The Zika Virus Individual Participant Data Consortium: A Global Initiative to Estimate the Effects of Exposure to Zika Virus during Pregnancy on Adverse Fetal, Infant, and Child Health Outcomes [PDF]

Tropical Medicine and Infectious Disease, 2020
This commentary describes the creation of the Zika Virus Individual Participant Data Consortium, a global collaboration to address outstanding questions in Zika virus (ZIKV) epidemiology through conducting an individual participant data meta-analysis ...
Zika Virus Individual Participant Data Consortium
doaj   +3 more sources

Responsibilities for receiving and using individual participant data

Cochrane Evidence Synthesis and Methods, 2023
Background Sharing of individual participant data enhances the value of existing data to generate new evidence and inform decision‐making. While there is strong in‐principle support for data sharing, in practice study data are often difficult to find ...
Kylie E. Hunter, Aidan C. Tan, Angela C. Webster, Daniel G. Hamilton, Adrian Barnett, Lee Jones, Myra Cheng, Salma Fahridin, Antonio Laguna‐Camacho, Sol Libesman, Mark Hoffmann, Rui Wang, Anna Lene Seidler   +12 more
doaj   +3 more sources

Identifying relapse predictors in individual participant data with decision trees

BMC Psychiatry, 2023
Background Depression is a highly common and recurrent condition. Predicting who is at most risk of relapse or recurrence can inform clinical practice. Applying machine-learning methods to Individual Participant Data (IPD) can be promising to improve the
Lucas Böttcher, Josefien J. F. Breedvelt, Fiona C. Warren, Zindel Segal, Willem Kuyken, Claudi L. H. Bockting   +5 more
doaj   +5 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

Primed to comply: Individual participant data sharing statements on ClinicalTrials.gov.

PLoS ONE, 2020
In June 2017, the International Committee of Medical Journal Editors (ICMJE) announced a requirement that authors reporting the results of clinical trials to journals that follow ICMJE recommendations must include an individual participant data (IPD ...
Emily E Statham, Sarah A White, Bhagyashree Sonwane, Barbara E Bierer   +3 more
doaj   +4 more sources

Assessing risk prediction models using individual participant data from multiple studies [PDF]

American Journal of Epidemiology, 2014
Individual participant time-to-event data from multiple prospective epidemiologic studies enable detailed investigation into the predictive ability of risk models. Here we address the challenges in appropriately combining such information across studies.
Ballantyne, C., Coresh, J., Couper, D., Ebrahim, S., et al., Folsom, A., Gallacher, J., Goya Wannamethee, S., Kaptoge, S., Kiechl, S., Lawlor, D., Morris, R., Pennells, L., Schett, G., Thompson, S., Tipping, R., White, I., Willeit, J., Willeit, P., Wood, A., Yarnell, J.   +20 more
core   +9 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

Simulation-based power calculations for planning a two-stage individual participant data meta-analysis [PDF]

BMC Medical Research Methodology, 2018
Background Researchers and funders should consider the statistical power of planned Individual Participant Data (IPD) meta-analysis projects, as they are often time-consuming and costly.
Joie Ensor, Danielle L. Burke, Kym I. E. Snell, Karla Hemming, Richard D. Riley   +4 more
doaj   +3 more sources