Results 41 to 50 of about 27,018,147 (310)
Deep neural networks have revolutionized several domains, including autonomous driving, cancer detection, and drug design, and are the foundation for massive artificial intelligence models.
Zhenjia Chen +8 more
doaj +1 more source
Errors in Variables in Panel Data [PDF]
Abstract Panel data based studies in econometrics use the analysis of covariance approach to control for various ‘individual effects’ by estimating coefficients from the ‘within’ dimension of the data. Often, however, the results are unsatisfactory, with ‘too low’ and insignificant coefficients.
Zvi Griliches, Jerry A. Hausman
openaire +1 more source
LISS immigrant panel data - overview of available LISS Studies 2010 – 2014
In addition to the LISS panel an Immigrant panel was available from October 2010 up until December 2014. This Immigrant panel consisted of around 1600 households (2400 individuals) of which 1100 households (1700 individuals) were of non-Dutch origin ...
Das, Prof.dr. J.W.M. (CentERdata - Institute for data collection and research - Tilburg University) DAI=info:eu-repo/dai/nl/137115008 +1 more
core +1 more source
Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source
Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin +17 more
wiley +1 more source
Dynamic Panel Data Models [PDF]
This Chapter reviews the recent literature on dynamic panel data models with a short time span and a large cross-section. Throughout the discussion we considerlinear models with additional endogenous covariates. First we give a broad overview of available inference methods placing emphasis on GMM.
Bun, M.J.G., Sarafidis, V.
openaire +3 more sources
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann +8 more
wiley +1 more source
Panel data models for regional development [PDF]
One of the goals of the national development policy is to support the sustainable economic and social growth of regions territorially balanced in Romania in order to reduce economic and social disparities among regions.
Sorin Daniel Manole, Antonio Tache
doaj
This study investigates and analyses empirically the impact of Foreign Direct Investment (FDI) inflows on the exports for a panel series of five large-scale manufacturing industries of Pakistan during the period 2000-2020.
Kamran Farid +3 more
doaj +1 more source
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source

