Results 21 to 30 of about 32,743,025 (287)

Adjusting for misclassification of an exposure in an individual participant data meta‐analysis

open access: yesResearch Synthesis Methods, 2022
AbstractA common problem in the analysis of multiple data sources, including individual participant data meta‐analysis (IPD‐MA), is the misclassification of binary variables. Misclassification may lead to biased estimators of model parameters, even when the misclassification is entirely random.
de Jong, Valentijn M. T.   +5 more
openaire   +4 more sources

Combining multiple imputation and meta‐analysis with individual participant data [PDF]

open access: yesStatistics in Medicine, 2013
Multiple imputation is a strategy for the analysis of incomplete data such that the impact of the missingness on the power and bias of estimates is mitigated. When data from multiple studies are collated, we can propose both within‐study and multilevel imputation models to impute missing data on covariates.
Burgess, Stephen   +3 more
openaire   +3 more sources

Commentary: Meta-analysis of Individual Participants' Data in Genetic Epidemiology [PDF]

open access: yesAmerican Journal of Epidemiology, 2002
The authors summarize their experience in the conduct of meta-analysis of individual participants' data (MIPD) with time-to-event analyses in the field of genetic epidemiology. The MIPD offers many advantages compared with a meta-analysis of the published literature. These include standardization of case definitions, outcomes, and covariates; inclusion
Ioannidis, J. P.   +3 more
openaire   +3 more sources

Testing moderation in network meta‐analysis with individual participant data [PDF]

open access: yesStatistics in Medicine, 2016
Meta‐analytic methods for combining data from multiple intervention trials are commonly used to estimate the effectiveness of an intervention. They can also be extended to study comparative effectiveness, testing which of several alternative interventions is expected to have the strongest effect.
Dagne, Getachew A.   +4 more
openaire   +3 more sources

Meta-analysis for individual participant data with a continuous exposure: A case study [PDF]

open access: yesJournal of Clinical Epidemiology, 2021
Methods for meta-analysis of studies with individual participant data and continuous exposure variables are well described in the statistical literature but are not widely used in clinical and epidemiological research. The purpose of this case study is to make the methods more accessible.A two-stage process is demonstrated.
Darsy Darssan   +12 more
openaire   +9 more sources

Job Strain and Alcohol Intake:A Collaborative Meta-Analysis of Individual-Participant Data from 140 000 Men and Women [PDF]

open access: yes, 2012
The relationship between work-related stress and alcohol intake is uncertain. In order to add to the thus far inconsistent evidence from relatively small studies, we conducted individual-participant meta-analyses of the association between work-related ...
Westerlund, Hugo,   +327 more
core   +1 more source

Data and code for: Huh et al. (2021). A structural equation modeling approach to meta-analytic mediation analysis using individual participant data

open access: yes, 2021
This data repository contains the companion R code and data set for: Huh, D., Li, X., Zhou, Z., Walters, S. T., Baldwin, S. A., Tan, Z., Larimer, M. E., & Mun, E.-Y. (2021).
Huh, D (via Mendeley Data), Huh, David
core   +1 more source

Commentary triggered by the Individual Participant Data Meta-Analysis Consortium study of job strain and myocardial infarction risk

open access: yesScandinavian Journal of Work, Environment & Health, 2014
Mika Kivimäki initiated the Individual Participant Data (IPD) Meta-Analysis Consortium, which currently has 50 members. The Consortium recently published several research reports on the relationship between job strain (high psychological demands and low ...
Töres Theorell
doaj   +1 more source

Psychometric Properties of the BAASIS: A Meta-analysis of Individual Participant Data

open access: yesTransplantation, 2023
Background. Nonadherence to immunosuppressives, a risk factor for poor posttransplant outcomes, can be assessed by self-report using the Basel Assessment of Adherence to Immunosuppressive Medications Scale (BAASIS). Available in written and interview versions, and previously validated on content, the BAASIS is widely used in ...
Denhaerynck, Kris   +4 more
openaire   +4 more sources

Participant data.

open access: yes, 2023
Individual data collected for each participant. (PDF)
Henry C. Chung (11565088)   +5 more
core   +1 more source

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