نتایج جستجو برای: log linear regression

تعداد نتایج: 796520  

Journal: :Journal of immunological methods 2015
Danny V Colombara James P Hughes Andrea N Burnett-Hartman Stephen E Hawes Denise A Galloway Stephen M Schwartz Roberd M Bostick John D Potter Lisa E Manhart

BACKGROUND Liquid bead microarray antibody (LBMA) assays are used to assess pathogen-cancer associations. However, studies analyze LBMA data differently, limiting comparability. METHODS We generated 10,000 Monte Carlo-type simulations of log-normal antibody distributions (exposure) with 200 cases and 200 controls (outcome). We estimated type I error rates, statistical power, and bias associat...

Journal: :Computational Statistics & Data Analysis 2017
David C. Woods James M. McGree Susan M. Lewis

The first investigation is made of designs for screening experiments where the response variable is approximated by a generalised linear model. A Bayesian information capacity criterion is defined for the selection of designs that are robust to the form of the linear predictor. For binomial data and logistic regression, the effectiveness of these designs for screening is assessed through simula...

2013
Sofia Dias Alex J. Sutton A. E. Ades Nicky J. Welton

We set out a generalized linear model framework for the synthesis of data from randomized controlled trials. A common model is described, taking the form of a linear regression for both fixed and random effects synthesis, which can be implemented with normal, binomial, Poisson, and multinomial data. The familiar logistic model for meta-analysis with binomial data is a generalized linear model w...

Journal: :Scandinavian Journal of Statistics 2013

2012
Baskaran Sankaran Anoop Sarkar

Shallow-n grammars (de Gispert et al., 2010) were introduced to reduce over-generation in the Hiero translation model (Chiang, 2005) resulting in much faster decoding and restricting reordering to a desired level for specific language pairs. However, Shallow-n grammars require parameters which cannot be directly optimized using minimum error-rate tuning by the decoder. This paper introduces som...

2010
Omar Deeb Padmakar V. Khadikar Mohammad Goodarzi

The terms bioaccumulation and bioconcentration refer to the uptake and build-up of chemicals that can occur in living organisms. Experimental measurement of bioconcentration is time-consuming and expensive, and is not feasible for a large number of chemicals of potential regulatory concern. A highly effective tool depending on a quantitative structure-property relationship (QSPR) can be utilize...

In this assay, the evaluation of lipophilicity of four ACE-inhibitors and hydrochlorothiazide (HCTZ) with RP-TLC on cellulose layers was described using three binary solvent systems. The selected ACE inhibitors had sufficiently different structures which can indicate the method suitability for their lipophilicity evaluation as the model substances in comparison with HCTZ. In addition, the linea...

Journal: :Int. J. Applied Earth Observation and Geoinformation 2013
Gavin Shaddick Duncan Lee Jonathan Wakefield

There has been a great deal of research into the short–term effects of air pollution on health with a large number of studies modelling the association between aggregate disease counts and environmental exposures measured at point locations, for example via air pollution monitors. In such cases, the standard approach is to average the observed measurements from the individual monitors and use t...

2005
Begoña Villada Moirón

A short introduction characterizes the task of identification of multiword expressions and their idiosyncratic properties. Then, this document gives a detailed description of loglinear models and latent semantic analysis. The description enumerates components of the models, estimation techniques for the model parameters and addresses the interpretation of the models and their evaluation. We als...

2006
Stephen E. Fienberg Alessandro Rinaldo

We develop computational strategies for extended maximum likelihood estimation, as defined in Rinaldo (2006), for general classes of log-linear models of widespred use, under Poisson and product-multinomial sampling schemes. We derive numerically efficient procedures for generating and manipulating design matrices and we propose various algorithms for computing the extended maximum likelihood e...

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