Results 141 to 150 of about 879,817 (289)
Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
A Specification Test for Instrumental Variables Regression with Many Instruments [PDF]
This paper considers specification testing for instrumental variables estimation in the presence of many instruments. The test proposed is a modified version of the Sargan (1958, Econometrica 26(3): 393-415) test of overidentifying restrictions. The test
Ryo Okui, Yoonseok Lee
core
Dimethyl fumarate (DMF) reduces growth of HPV‐positive cervical cancer spheroids and induces ferroptosis in cervical cancer cells via blocking SLC7A11/Glutathione (GSH) axis. Combination of subcytotoxic doses of DMF and cisplatin (CDDP) further suppresses spheroid growth and drives cell death in 2D culture models.
Carolina Punziano +6 more
wiley +1 more source
The UK BiLEVE and Mendelian randomisation: using multivariable instrumental variables to address "damned if you, damned if you don't" adjustment problems. [PDF]
Woolf B, Gill D, Sallis H, Munafò MR.
europepmc +1 more source
Diagnosis Measurement Error and Corrected Instrumental Variables [PDF]
Health diagnosis indicators used as explanatory variables in econometric models often suffer from substantial measurement error. This measurement error can lead to seriously biased inferences about the effects of health conditions on the outcome measure ...
Chen, Donna +3 more
core
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Integrating Cross-Lagged Panel Models with Instrumental Variables to Extend the Temporal Generalizability of Causal Inference. [PDF]
Singh M, Dolan CV, Neale MC.
europepmc +1 more source
Do Instrumental Variables Belong in Propensity Scores? [PDF]
Propensity score matching is a popular way to make causal inferences about a binary treatment in observational data. The validity of these methods depends on which variables are used to predict the propensity score.
Jay Bhattacharya, William B. Vogt
core
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
MR-DoC2: Bidirectional Causal Modeling with Instrumental Variables and Data from Relatives. [PDF]
Castro-de-Araujo LFS +6 more
europepmc +1 more source

