Results 61 to 70 of about 1,373,523 (316)
Sensitivity Analysis in Nonrandomized Longitudinal Mediation Analysis [PDF]
Frontiers in Psychology, 2021 Mediation analysis relies on an untestable assumption of the no omitted confounders, which posits that an omitted variable that confounds the relationships between the antecedent, mediator, and outcome variables cannot exist. One common model in alcohol addiction studies is a nonrandomized latent growth curve mediation model (LGCMM), where the ...
openaire +3 more sources
FEBS Letters, EarlyView.Proteostasis and the gut microbiota play a key role in shaping host physiology. Microbiota‐derived metabolites, vitamins, and RNA modulate host proteostasis. Findings from model systems, including C. elegans, indicate microbes can either stabilize or disrupt host proteostasis.
Abhishek Anil Dubey, Maria Ermolaeva
wiley +1 more source
Convergence of Romanian accounting regulations with IFRS. A longitudinal analysis
Audit Financiar, 2016 In this paper we analyse the evolution in the level of convergence of the Romanian accounting regulations with IFRS in the last decade. We focus our study on the accounting topics covered by IAS16, IAS17, IAS 41 and SIC15.
Ioana PĂLĂRIE, Nadia ALBU
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Swiss Journal of Sociology, 2020 This paper investigates trends in Swiss women’s and men’s gender attitudes in the period 2000–2017 using the Swiss Household Panel data. Based on pooled OLS and fixed-effects models, we establish the following for women and men: (1) over this time period,
Bornatici Christina +2 more
doaj +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Imputing income in the Longitudinal Study of Australian Children [PDF]
, 2015 This paper explains why imputing missing income data is of benefit to Longitudinal Study of Australian Children and shows how two techniques have been used in combination to impute this income data.
Galina Daraganova +2 more
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The analysis of multivariate longitudinal data: A review [PDF]
Statistical Methods in Medical Research, 2012 Longitudinal experiments often involve multiple outcomes measured repeatedly within a set of study participants. While many questions can be answered by modeling the various outcomes separately, some questions can only be answered in a joint analysis of all of them.
VERBEKE, Geert +3 more
openaire +4 more sources
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
, 2018 Multiple imputation (MI) is a powerful statistical method for handling missing data. Standard implementations of MI are valid under the unverifiable assumption of missing at random (MAR), which is often implausible in practice.
Lee, Katherine J. +2 more
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Molecular Oncology, EarlyView.Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen +11 more
wiley +1 more source