Results 111 to 120 of about 6,120,728 (295)
Optimal designs for dose-response models with restricted design spaces [PDF]
In dose response studies, the dose range is often restricted due to concerns over drug toxicity and/or efficacy. We present restricted and unrestricted interval locally optimal designs with respect to a very general class of optimality criteria for ...
Zhu, Wei +2 more
core
A MODEL FOR MIXED CONTINUOUS AND DISCRETE RESPONSES WITH POSSIBILITY OF MISSING RESPONSES [PDF]
Journal of Sciences, Islamic Republic of Iran, 2003 A model for missing data in mixed binary and continuous responses, which can be used on cross-sectional data, is presented. In this model response indicator for the binary response can be dependent on the continuous response.
doaj
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background The clinical relevance of MGMT promoter methylation in IDH‐mutant gliomas remains controversial in the era of molecular classification. We aimed to systematically evaluate its clinical relevance by integrating quantitative assessment, cutoff exploration, and adjustment for clinical confounding.
Haihui Jiang +7 more
wiley +1 more source
Non-binary protograph low-density parity-check codes for space communications [PDF]
, 2012 Protograph-based non-binary low-density parity-check (LDPC) codes with ultra-sparse parity-check matrices are compared with binary LDPC and turbo codes (TCs) from space communication standards.
Paolini, Enrico +7 more
core +1 more source
Connecticut State Emergency Response Commission [web site] [Harvested on 2013: Aug. 12]
, 2013 Updated irregularly; Began in 2002?; Title from home page (publisher's Web site, viewed June 1, 2011).; At head of title: State of Connecticut.; Official website of the Connecticut State Emergency Response Commission.
core +1 more source
Automated Poisson regression exposure–response analysis for binary outcomes with PoissonERM
CPT: Pharmacometrics & Systems PharmacologyPoissonERM is an R package used to conduct exposure–response (ER) analysis on binary outcomes for establishing the relationship between exposure and the occurrence of adverse events (AE).
Yuchen Wang +4 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Autoimmune glial fibrillary acidic protein astrocytopathy (GFAP‐A) is an inflammatory central nervous system disorder with variable outcomes. Relapse occurs in a subset of patients, but early predictors remain unclear. We aimed to identify admission‐available features associated with 1‐year recurrence and develop an interpretable ...
Qingting Hong +10 more
wiley +1 more source
Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables [PDF]
The classical approach for specifying statistical models with binary dependent variables in econometrics using latent variables or threshold models can leave the model misspecified, resulting in biased and inconsistent estimates as well as erroneous ...
Spanos, Aris, Bergtold, Jason S.
core
Diffusion Basis Spectrum Imaging of Tissue Microstructure and Early Treatment in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Conventional MRI cannot resolve the coexisting pathological processes within multiple sclerosis tissue. Diffusion Basis Spectrum Imaging decomposes the diffusion signal into fiber, cell, and hindered ratios indexing axonal integrity, cellularity, and extracellular space, respectively.
Apisit Kaewsanit +10 more
wiley +1 more source
Monotone Confounding, Monotone Treatment Selection and Monotone Treatment Response
Journal of Causal Inference, 2014 Manski (Monotone treatment response. Econometrica 1997;65:1311–34) and Manski and Pepper (Monotone instrumental variables: with an application to the returns to schooling.
Jiang Zhichao +2 more
doaj +1 more source