Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes. [PDF]
Swanson SA +4 more
europepmc +1 more source
This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Matching plus regression adjustment for the estimation of the average treatment effect on survival outcomes: a case study with mosunetuzumab in relapsed/refractory follicular lymphoma. [PDF]
Di Maio D +4 more
europepmc +1 more source
A doubly robust estimator for the average treatment effect in the context of a mean-reverting measurement error. [PDF]
Lenis D, Ebnesajjad CF, Stuart EA.
europepmc +1 more source
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou +4 more
wiley +1 more source
Directed Acyclic Graph Assisted Method For Estimating Average Treatment Effect. [PDF]
Sun J, Duncan S, Pal S, Kong M.
europepmc +1 more source
Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design. [PDF]
O'Keeffe AG, Baio G.
europepmc +1 more source
Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim +7 more
wiley +1 more source
Estimating the average treatment effect on survival based on observational data and using partly conditional modeling. [PDF]
Gong Q, Schaubel DE.
europepmc +1 more source
Estimating the Average Treatment Effect using Propensity Score Weighting is highly sensitive to the choice of propensity score model, especially when there is heterogeneity in treatment effects and limited overlap in covariates. In practice, the true treatment assignment mechanism is rarely known, and ATE estimates based on a single propensity score ...
openaire +1 more source

