Results 61 to 70 of about 1,861,153 (306)

Propensity Scores in Cardiovascular Research [PDF]

Circulation, 2007
Propensity scores have been used to reduce bias in observational studies in many fields and are becoming more widely used in cardiovascular research.1 The goal of this statistical primer is to present the definition of propensity scores and to illustrate their use by describing some recent examples found in the cardiovascular disease research ...
openaire   +2 more sources

Propensity score matching with missing covariates via iterated, sequential multiple imputation

, 2011
In many observational studies, analysts estimate causal effects using propensity score matching. Estimation of propensity scores is complicated when covariate values intended for collection are in fact missing. To handle the missing data, one approach is
Reiter, Jerome P., Mitra, Robin
core   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Filter tilting and retrievability of the Celect and Denali inferior vena cava filters using propensity score-matching analysis

European Journal of Radiology Open, 2018
Purpose: To assess the filter tilting and outcomes of the Celect and Denali inferior vena cava (IVC) filters by using a propensity score-matching analysis.
Jae Heung Bae, Sang Yub Lee
doaj   +1 more source

Selection of Control Variables in Propensity Score Matching: Evidence from a Simulation Study [PDF]

Propensity score matching is a widely-used method to measure the effect of a treatment in social as well as health sciences. An important issue in propensity score matching is how to select conditioning variables in estimation of the propensity score. It
Nguyen Viet, Cuong
core  

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

Propensity Score Method for Partially Matched Omics Studies

Cancer Informatics, 2014
This paper focuses on the problem of partially matched samples in the presence of confounders. We propose using propensity score matching to adjust for confounding factors for the subset of data with incomplete pairs, followed by integrating the P ...
Pei-Fen Kuan
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

The performance of different propensity score methods for estimating the effects of multiple treatments or exposures: a neutral comparison study

BMC Medical Research Methodology
Background The generalized propensity score is an extension of the conventional propensity score to settings with a categorical exposure with more than two levels of treatment or exposure.
Peter C. Austin, David E. Austin
doaj   +1 more source

Generalized Propensity Score Matching with Multilevel Treatment Options

Journal of Health Economics and Outcomes Research, 2013
# Background Although conventional form of propensity score matching (PSM) is widely used in outcomes research field, its application on multilevel treatment is limited. # Objectives This article reviews PSM and illustrates their use when there are more
Onur Baser
doaj   +1 more source