Evaluation of biomarkers for treatment selection using individual participant data from multiple clinical trials.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7608
Abstract: Biomarkers that predict treatment effects may be used to guide treatment decisions, thus improving patient outcomes. A meta-analysis of individual participant data (IPD) is potentially more powerful than a single-study data analysis in evaluating markers… read more here.
Keywords: treatment selection; treatment; clinical trials; participant data ... See more keywords
A Bayesian hierarchical model for individual participant data meta-analysis of demand curves.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9354
Abstract: Individual participant data meta-analysis is a frequently used method to combine and contrast data from multiple independent studies. Bayesian hierarchical models are increasingly used to appropriately take into account potential heterogeneity between studies. In this… read more here.
Keywords: analysis; bayesian hierarchical; participant data; model ... See more keywords
Calculating the power to examine treatment‐covariate interactions when planning an individual participant data meta‐analysis of randomized trials with a binary outcome
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9538
Abstract: Before embarking on an individual participant data meta‐analysis (IPDMA) project, researchers and funders need assurance it is worth their time and cost. This should include consideration of how many studies are promising their IPD and,… read more here.
Keywords: participant data; individual participant; power; data meta ... See more keywords
[New applications for individual participant data meta-analyses of randomized trials].
Sign Up to like & getrecommendations! Published in 2017 at "Bulletin du cancer"
DOI: 10.1016/j.bulcan.2016.10.024
Abstract: Meta-analyses of randomized trials using individual-participant data, which represent the highest level of evidence for the evaluation of a treatment effect, are now used in different contexts in clinical research. This article aims at reviewing… read more here.
Keywords: meta analyses; new applications; analyses randomized; participant data ... See more keywords
The reciprocal relationship between alliance and early treatment symptoms: A two-stage individual participant data meta-analysis.
Sign Up to like & getrecommendations! Published in 2020 at "Journal of consulting and clinical psychology"
DOI: 10.1037/ccp0000594
Abstract: OBJECTIVE Even though the early alliance has been shown to robustly predict posttreatment outcomes, the question whether alliance leads to symptom reduction or symptom reduction leads to a better alliance remains unresolved. To better understand… read more here.
Keywords: data meta; alliance; meta; participant data ... See more keywords
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-53217-y
Abstract: Methods for automatic analysis of clinical data are usually targeted towards a specific modality and do not make use of all relevant data available. In the field of male human reproduction, clinical and biological data… read more here.
Keywords: machine learning; analysis; learning based; participant data ... See more keywords
Individual participant data meta-analysis with mixed-effects transformation models.
Sign Up to like & getrecommendations! Published in 2021 at "Biostatistics"
DOI: 10.1093/biostatistics/kxab045
Abstract: One-stage meta-analysis of individual participant data (IPD) poses several statistical and computational challenges. For time-to-event outcomes, the approach requires the estimation of complicated nonlinear mixed-effects models that are flexible enough to realistically capture the most… read more here.
Keywords: participant data; transformation models; individual participant; mixed effects ... See more keywords
Reporting quality and risk of bias of Cochrane individual participant data meta-analyses: A cross-sectional study.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of evidence-based medicine"
DOI: 10.1111/jebm.12521
Abstract: OBJECTIVES This study aimed to assess the reporting quality and risk of bias of Cochrane individual participant data meta-analyses (IPD-MAs). METHODS We searched the Cochrane Library and identified the Cochrane IPD-MAs. We used the Preferred… read more here.
Keywords: risk bias; participant data; quality; ipd mas ... See more keywords
Cerebrospinal fluid biomarkers for the diagnosis and prognosis of Parkinson’s disease: protocol for a systematic review and individual participant data meta-analysis
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DOI: 10.1136/bmjopen-2017-018177
Abstract: Introduction Idiopathic Parkinson’s disease (PD) is a progressive neurodegenerative disorder related to α-synuclein misfolding and aggregation. For this reason, it belongs to the family of ‘synucleinopathies’, which also includes some other neurological diseases. Although imaging… read more here.
Keywords: systematic review; disease; parkinson disease; individual participant ... See more keywords
Arthroscopic meniscectomy versus non-surgical or sham treatment in patients with MRI confirmed degenerative meniscus lesions: a protocol for an individual participant data meta-analysis
Sign Up to like & getrecommendations! Published in 2020 at "BMJ Open"
DOI: 10.1136/bmjopen-2019-031864
Abstract: Introduction Arthroscopic partial meniscectomy (APM) after degenerative meniscus tears is one of the most frequently performed surgeries in orthopaedics. Although several randomised controlled trials (RCTs) have been published that showed no clear benefit compared with… read more here.
Keywords: degenerative meniscus; treatment; participant data; non surgical ... See more keywords
S110 Concise whole blood transcriptional signatures for incipient tuberculosis: a systematic review and individual participant data meta-analysis
Sign Up to like & getrecommendations! Published in 2019 at "Thorax"
DOI: 10.1136/thorax-2019-btsabstracts2019.116
Abstract: Background Blood transcriptional signatures may predict risk of tuberculosis (TB). While multiple candidate signatures for active and incipient TB have been identified, it is not known which signature performs best, or whether any meets World… read more here.
Keywords: participant data; blood transcriptional; systematic review; signatures incipient ... See more keywords