نتایج جستجو برای: glmm

تعداد نتایج: 393  

Journal: :Journal of clinical microbiology 2011
Maria Guadalupe Córdova Espinoza Rosa González Vazquez Iyari Morales Mendez Consuelo Ruelas Vargas Silvia Giono Cerezo

A novel reverse primer (GLM MR1) was designed for detection of the glmM gene in Helicobacter pylori by PCR. The percentage of amplification in clinical isolates using GLM MR1 was 100% for detection of the glmM gene and 86.36% for the ureA gene. The primer designed is useful for the identification of H. pylori.

2018
Natalja Šebunova Jelena Štšepetova Toomas Sillakivi Reet Mändar

Helicobacter pylori (Hp) is one of the most important human pathogens that can cause duodenal and gastric ulcers, gastritis and stomach cancer. Hp infection is considered to be a cause of limiting access to bariatric surgery. The aim of this study was to determine the prevalence of Hp in patients with obesity going into bariatric surgery and to reveal the relationship between Hp and clinical da...

2017
Claudia Pedroza Van Thi Thanh Truong

BACKGROUND Analyses of multicenter studies often need to account for center clustering to ensure valid inference. For binary outcomes, it is particularly challenging to properly adjust for center when the number of centers or total sample size is small, or when there are few events per center. Our objective was to evaluate the performance of generalized estimating equation (GEE) log-binomial an...

Journal: :CoRR 2017
Tales Imbiriba Ricardo Augusto Borsoi José Carlos M. Bermudez

Endmember variability is an important factor for accurately unveiling vital information relating the pure materials and their distribution in hyperspectral images. Recently, the extended linear mixing model (ELMM) has been proposed as a modification of the linear mixing model (LMM) to consider endmember variability effects resulting mainly from illumination changes. In this paper, we further ge...

1998
Dongchu Sun Paul Speckman Robert K. Tsutakawa

In this chapter, we examine the use of special forms of correlated random e ects in the generalized linear mixed model (GLMM) setting. A special feature of our GLMM is the inclusion of random residual e ects to account for lack of t due to extra variation, outliers and other unexplained sources of variation. For random e ects, we consider, in particular, the correlation structure and improper p...

Journal: :Journal of bacteriology 2000
I M Tavares L Jolly F Pompeo J H Leitão A M Fialho I Sá-Correia D Mengin-Lecreulx

A search for a potential algC homologue within the Pseudomonas aeruginosa PAO1 genome database has revealed an open reading frame (ORF) of unknown function, ORF540 in contig 54 (July 1999 Pseudomonas genome release), that theoretically coded for a 445-amino-acid-residue polypeptide (I. M. Tavares, J. H. Leitão, A. M. Fialho, and I. Sá-Correia, Res. Microbiol. 150:105-116, 1999). The product of ...

Journal: :Statistica Neerlandica 2016

2015
Elke Moons

1 In this paper, the necessity for treating intra-household correlation is investigated by analyzing 2 two travel behavior indices, i.e. travel time and travel distance, for three important travel motives 3 (commuting, shopping, and leisure). Data stemming from the 2010 Belgian National Household 4 Travel Survey are used in the analysis. Two model approaches that accommodate for intra5 househol...

2005
Devin S. Johnson

The problem of simultaneous covariate selection and parameter inference for spatial regression models is considered. Previous research has shown that failure to take spatial correlation into account can influence the outcome of standard model selection methods. Often, these standard criteria suggest models that are too complex in an effort to compensate for spatial correlation ignored in the se...

Journal: :Enthusiastic 2021

Rainfall is one of the climatic elements in tropics which very influential agriculture, especially determining growing season. Thus, proper rainfall modeling needed to help determine best time start cultivating soil. can be done using Statistical Downscaling (SDS) method. SDS a statistical model field climatology analyze relationship between large-scale and small-scale climate data. This study ...

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