Results 201 to 210 of about 19,276,699 (283)

Directed Acyclic Graph Assisted Method For Estimating Average Treatment Effect. [PDF]

J Biopharm Stat
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]

Scand Stat Theory Appl, 2016
O'Keeffe AG, Baio G.
europepmc   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Estimating the average treatment effect on survival based on observational data and using partly conditional modeling. [PDF]

Biometrics, 2017
Gong Q, Schaubel DE.
europepmc   +1 more source

PAK1 activation drives divergent resistance mechanisms to aromatase inhibition and tamoxifen in a luminal: A breast cancer model

Molecular Oncology, EarlyView.
Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller, Janina Müller, Efstathios‐Iason Vlachavas, Lukas Beumers, Lena Fleischhacker, Sara Burmester, Angelika Wörner, Sabine Karolus, Dominic Helm, Cindy Körner, Stefan Wiemann   +10 more
wiley   +1 more source

Doubly robust estimation of the local average treatment effect curve. [PDF]

J R Stat Soc Series B Stat Methodol, 2015
Ogburn EL, Rotnitzky A, Robins JM.
europepmc   +1 more source

Model-Averaged Propensity Scores for Estimating the Average Treatment Effect under Treatment Effect Heterogeneity

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

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Targeted estimation and inference for the sample average treatment effect in trials with and without pair-matching. [PDF]

Stat Med, 2016
Balzer LB, Petersen ML, van der Laan MJ, SEARCH Collaboration.   +3 more
europepmc   +1 more source

Inhibition of cyclin‐dependent kinases 12/13 using CT7439 as a treatment for colorectal cancer with CDK12 upregulation

Molecular Oncology, EarlyView.
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington, Divya L. Dayanidhi, Mohammad Zokaasadi, John B. Mantyh, Pelumi D. Olawuni, Gabrielle Rupprecht, Jeremy M. Force, Shannon McCall, Ashwani K. Bahl, David S. Hsu, Jason A. Somarelli   +10 more
wiley   +1 more source