Results 161 to 170 of about 2,229,955 (197)

An individual participant data meta-analysis

2021
Objective: Behavioral interventions are well established treatments for children with attention-deficit/hyperactivity disorder (ADHD). However, insight into moderators of treatment outcome is limited. Method: We conducted an individual participant data meta-analysis (IPDMA), including data of randomized controlled behavioral intervention trials for ...
Groenman, Annabeth P., Hornstra, Rianne, Hoekstra, Pieter J., Steenhuis, Laura, Aghebati, Asma, Boyer, Bianca E., Buitelaar, Jan K., Chronis-Tuscano, Andrea, Daley, David, Dehkordian, Parisa, Dvorsky, Melissa, Franke, Nike, DuPaul, George J., Gershy, Naama, Harvey, Elizabeth, Hennig, Timo, Herbert, Sharonne, Langberg, Joshua, Mautone, Jennifer A., Mikami, Amori Yee, Pfiffner, Linda J., Power, Thomas J., Reijneveld, Sijmen A., Schramm, Satyam Antonio (Prof. Dr.), Schweitzer, Julie B., Sibley, Margaret H., Sonuga-Barke, Edmund, Thompson, Catharine, Thompson, Margaret, Webster-Stratton, Carolyn, Xie, Yuhuan, Luman, Marjolein, Oord, Saskia van der, Hoofdakker, Barbara J. van den   +33 more
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Efficient integration of aggregate data and individual participant data in one‐way mixed models

Statistics in Medicine, 2022
Often both aggregate data (AD) studies and individual participant data (IPD) studies are available for specific treatments. Combining these two sources of data could improve the overall meta‐analytic estimates of treatment effects. Moreover, often for some studies with AD, the associated IPD maybe available, albeit at some extra effort or cost to the ...
Neha Agarwala, Junyong Park, Anindya Roy
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Individual participant data meta-analysis of prognosis studies

2019
An alternative approach to meta-analysis of aggregate data from published prognosis research (as addressed in Chapter 9), with its challenges of heterogeneity and lack of information, is to conduct meta-analysis of individual participant data (IPD), that is, the original raw data of the individuals who are included in the primary prognosis studies. The
Richard D Riley, Thomas PA Debray, Karel GM Moons   +2 more
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Overcoming obstacles in obtaining individual participant data for meta‐analysis

Research Synthesis Methods, 2016
Individual participant data (IPD) is the backbone of scientific inquiry and important to a meta‐analysis for a variety of reasons. It is therefore important to be able to access IPD, and yet, obstacles persist that make it difficult for meta‐analysts, as well as interested primary study analysts, to obtain it.
Joshua R, Polanin, Ryan T, Williams
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Mixed treatment comparisons using aggregate and individual participant level data

Statistics in Medicine, 2012
Mixed treatment comparisons (MTC) extend the traditional pair‐wise meta‐analytic framework to synthesize information on more than two interventions. Although most MTCs use aggregate data (AD), a proportion of the evidence base might be available at the individual level (IPD). We develop a series of novel Bayesian statistical MTC models to allow for the
Saramago, P, Manca, A, Sutton, AJ, Cooper, NJ   +3 more
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Empathic disequilibrium in schizophrenia: An individual participant data meta-analysis

Journal of Psychiatric Research
Schizophrenia involves substantial social difficulties, yet their nature remains unclear. Although empathy has been considered a promising social cognition construct, inconsistent findings have undermined its usefulness as a stable index for schizophrenia.
Ido Shalev, Simone G. Shamay-Tsoory, Christiane Montag, Michal Assaf, Matthew J. Smith, Alal Eran, Florina Uzefovsky   +6 more
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Meta‐analysis of a binary outcome using individual participant data and aggregate data

Research Synthesis Methods, 2010
AbstractIn this paper, we develop meta‐analysis models that synthesize a binary outcome from health‐care studies while accounting for participant‐level covariates. In particular, we show how to synthesize the observed event‐risk across studies while accounting for the within‐study association between participant‐level covariates and individual event ...
Richard D, Riley, Ewout W, Steyerberg
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Including Individual Participant Data in Meta-analysis

2011
This chapter introduces methods for including individual participant data in a traditional meta-analysis. Since meta-analyses use data aggregated to the study, there is potential for aggregation bias, finding relationships between the effect size and study characteristics that may hold only at the level of the study.
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Aggregating published prediction models with individual participant data: a comparison of different approaches

Statistics in Medicine, 2012
During the recent decades, interest in prediction models has substantially increased, but approaches to synthesize evidence from previously developed models have failed to keep pace. This causes researchers to ignore potentially useful past evidence when developing a novel prediction model with individual participant data (IPD) from their population of
Debray, Thomas P.A., Koffijberg, Hendrik, Vergouwe, Yvonne, Moons, Karel G.M., Steyerberg, Ewout W.   +4 more
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Primer: Conducting an Individual Participant Data Meta-Analysis

Individual participant data meta-analysis (IPDMA) can provide high-quality evidence in any area where data from individual participants or observations from multiple studies can be combined. However, conducting an IPDMA is a complex and resource-intensive process that requires careful planning.
Fraga Gonzalez, Gorka, Molo, Fabio, Held, Leonhard   +2 more
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