Results 51 to 60 of about 23,119,930 (306)
, 2016 Regression Modeling Strategies is an advanced text, aimed at graduate students and re-searchers with a solid, comprehensive background in regression modeling. Readers should have a good working knowledge of regression analysis as well as R as all code is
James E. Helmreich
semanticscholar +1 more source
Sample size for binary logistic prediction models: Beyond events per variable criteria
Statistical Methods in Medical Research, 2018 Binary logistic regression is one of the most frequently applied statistical approaches for developing clinical prediction models. Developers of such models often rely on an Events Per Variable criterion (EPV), notably EPV ≥10, to determine the minimal ...
M. van Smeden +6 more
semanticscholar +1 more source
Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer
FEBS Letters, EarlyView.Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani +4 more
wiley +1 more source
Identifiability of multivariate logistic mixture models [PDF]
, 2014 Mixture models have been widely used in modeling of continuous observations. For the possibility to estimate the parameters of a mixture model consistently on the basis of observations from the mixture, identifiability is a necessary condition.
Han, JiQing, Shi, ZiQiang, Zheng, TieRan
core
, 2007 Bayesian classification and regression with high order interactions is largely infeasible because Markov chain Monte Carlo (MCMC) would need to be applied with a great many parameters, whose number increases rapidly with the order.
Li, Longhai, Neal, Radford M.
core +2 more sources
Bias of Maximum-Likelihood estimates in logistic and Cox regression models: A comparative simulation study [PDF]
, 2003 Parameter estimates of logistic and Cox regression models are biased for finite samples. In a simulation study we investigated for both models the behaviour of the bias in relation to sample size and further parameters.
Bender, R. +4 more
core +2 more sources
Molecular Oncology, EarlyView.This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
Modelo preditivo ao abandono do tratamento da tuberculose
Saúde em DebateObjetivou-se construir um modelo preditivo tomando como variáveis explicativas as características dos indivíduos com tuberculose para definir o tratamento mais adequado. Pesquisa do tipo observacional descritiva, de abordagem quantitativa.
Eveline de Almeida Silva +2 more
doaj +1 more source
Chinese Journal of Contemporary Neurology and Neurosurgery, 2021 Objective To investigate the clinical features and risk factors of nervous system involvement in Behcet's disease (BD). Methods A total of 74 BD patients who were admitted to Peking University People's Hospital from January 2013 to January 2019 were ...
MAO Yu⁃jing, LIU Tian
doaj +1 more source
Molecular Oncology, EarlyView.Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié +13 more
wiley +1 more source