Results 91 to 100 of about 3,722,033 (368)
The newfound relationship between extrachromosomal DNAs and excised signal circles
FEBS Letters, EarlyView.Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
BMC Infectious DiseasesBackground The diagnostic process is a key element of medicine but it is complex and prone to errors. Infectious diseases are one of the three categories of diseases in which diagnostic errors can be most harmful to patients.
Anna M. Eikenboom +3 more
doaj +1 more source
Causal Effects in Non-Experimental Studies: Re-Evaluating the Evaluation of Training Programs [PDF]
This paper uses propensity score methods to address the question: how well can an observational study estimate the treatment impact of a program? Using data from Lalonde's (1986) influential evaluation of non-experimental methods, we demonstrate that ...
Rajeev H. Dehejia, Sadek Wahba
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What is the Value of Knowing the Propensity Score for Estimating Average Treatment Effects? [PDF]
, 2002 Propensity score matching is widely used in treatment evaluation to estimate average treatment effects. Nevertheless, the role of the propensity score is still controversial.
Frölich, Markus
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FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Covariate adjusted nonparametric methods under propensity analysis
Frontiers in Applied Mathematics and StatisticsPropensity score is one of the most commonly used score functions in adjusting for covariates effect in statistical inference. It is important to understand the impact with propensity score in case some of the prespecified covariates are severely ...
Jiabu Ye, Dejian Lai
doaj +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
Application of the Generalized Propensity Score. Evaluation of public contributions to Piedmont enterprises. [PDF]
In this article, we apply a generalization of the propensity score of Rosenbaum and Rubin (1983b). Techniques based on the propensity score have long been used for causal inference in observational studies for reducing bias caused by non-random treatment
Bia, Michela, Mattei, Alessandra
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PICALM::MLLT10 translocated leukemia
FEBS Letters, EarlyView.This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen +7 more
wiley +1 more source
Evaluation of the Causal Association of Risk Factors for Death From COVID-19 Patients Admitted to Golestan Hospitals by Propensity Score Estimation Method [PDF]
علوم بهداشتی ایران, 2023 Background and Purpose: Evaluating the causal association effect of risk factors is essential in estimating the mortality rate among COVID-19 patients.
Hassan Khorsha +2 more
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