OCT utilization: Summary statistics from the LightLab clinical initiative
Sign Up to like & getrecommendations! Published in 2022 at "Catheterization and Cardiovascular Interventions"
DOI: 10.1002/ccd.30397
Abstract: The study describes the evolution of optical coherence tomography (OCT) adoption and performance during percutaneous coronary intervention (PCI) following implementation of a standardized LightLab (LL) workflow. read more here.
Keywords: statistics lightlab; utilization summary; lightlab clinical; oct utilization ... See more keywords
Accounting for temporal change in multiple biodiversity patterns improves the inference of metacommunity processes.
Sign Up to like & getrecommendations! Published in 2022 at "Ecology"
DOI: 10.1002/ecy.3683
Abstract: In metacommunity ecology, a major focus has been on combining observational and analytical approaches to identify the role of critical assembly processes, such as dispersal limitation and environmental filtering, this work has largely ignored temporal… read more here.
Keywords: time; summary statistics; metacommunity; accounting temporal ... See more keywords
Summary-statistics-based power analysis: A new and practical method to determine sample size for mixed-effects modeling.
Sign Up to like & getrecommendations! Published in 2022 at "Psychological methods"
DOI: 10.1037/met0000330
Abstract: This article proposes a summary-statistics-based power analysis-a practical method for conducting power analysis for mixed-effects modeling with two-level nested data (for both binary and continuous predictors), complementing the existing formula-based and simulation-based methods. The proposed… read more here.
Keywords: mixed effects; power; analysis; method ... See more keywords
Across-cohort QC analyses of GWAS summary statistics from complex traits
Sign Up to like & getrecommendations! Published in 2017 at "European Journal of Human Genetics"
DOI: 10.1038/ejhg.2016.106
Abstract: Genome-wide association studies (GWASs) have been successful in discovering SNP trait associations for many quantitative traits and common diseases. Typically, the effect sizes of SNP alleles are very small and this requires large genome-wide association… read more here.
Keywords: across cohort; genetics; cohort; sample overlap ... See more keywords
Privacy-preserving statistical analyses in Learning Health Systems
Sign Up to like & getrecommendations! Published in 2020 at "Pediatric Research"
DOI: 10.1038/s41390-020-0835-4
Abstract: A Learning Health System (LHS) is one in which “internal data and experience are systematically integrated with external evidence, and that knowledge is put into practice”. To accomplish this goal, we will need to analyze… read more here.
Keywords: data sets; analysis; learning health; privacy ... See more keywords
Simultaneous estimation of bi-directional causal effects and heritable confounding from GWAS summary statistics
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-26970-w
Abstract: Mendelian Randomisation (MR) is an increasingly popular approach that estimates the causal effect of risk factors on complex human traits. While it has seen several extensions that relax its basic assumptions, most suffer from two… read more here.
Keywords: simultaneous estimation; summary statistics; heritable confounder; causal effects ... See more keywords
Identifying loci with different allele frequencies among cases of eight psychiatric disorders using CC-GWAS
Sign Up to like & getrecommendations! Published in 2021 at "Nature genetics"
DOI: 10.1038/s41588-021-00787-1
Abstract: Psychiatric disorders are highly genetically correlated, but little research has been conducted on the genetic differences between disorders. We developed a new method (CC-GWAS) to test for differences in allele frequency among cases of two… read more here.
Keywords: among cases; psychiatric disorders; disorders using; case ... See more keywords
Jointly Modeling Participant-Level Data and Summary Statistics for Treatment Differences
Sign Up to like & getrecommendations! Published in 2022 at "Multivariate Behavioral Research"
DOI: 10.1080/00273171.2022.2030204
Abstract: Cumulative data analysts typically rely on two frameworks: meta-analysis (MA) of aggregate data (AD, i.e., summary statistics) and integrative data analysis (IDA) of individual participant data (IPD). In practice, AD may be available from some… read more here.
Keywords: data summary; treatment differences; jointly modeling; ipd ... See more keywords
Local inhomogeneous weighted summary statistics for marked point processes
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2023.2206441
Abstract: We introduce a family of local inhomogeneous mark-weighted summary statistics, of order two and higher, for general marked point processes. Depending on how the involved weight function is specified, these summary statistics capture different kinds… read more here.
Keywords: weighted summary; marked point; local inhomogeneous; summary statistics ... See more keywords
Towards testing the theory of gravity with DESI: summary statistics, model predictions and future simulation requirements
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2021/11/050
Abstract: Shortly after its discovery, General Relativity (GR) was applied to predict the behavior of our Universe on the largest scales, and later became the foundation of modern cosmology. Its validity has been verified on a… read more here.
Keywords: desi summary; cosmology; future simulation; gravity ... See more keywords
Metasubtract: an R‐package to analytically produce leave‐one‐out meta‐analysis GWAS summary statistics
Sign Up to like & getrecommendations! Published in 2020 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btaa570
Abstract: Abstract Summary Summary statistics from a meta‐analysis of genome‐wide association studies (meta-GWAS) can be used for many follow-up analyses. One valuable application is the creation of polygenic scores. However, if polygenic scores are calculated in… read more here.
Keywords: meta gwas; cohort; meta; gwas ... See more keywords