Describing the nature and variability of Indian monsoon precipitation is a topic of much debate in the current literature. We suggest the use of a generalized linear mixed model (GLMM), specifically, the logit-normal mixed model, to describe the underlying structure of this complex climatic event. Four GLMM algorithms are described and simulations are performed to vet these algorithms before ap...

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...

Generalized linear mixed models (GLMM) are useful in a variety of applications. With surrogate covariate data, existing methods of inference for GLMM are usually computationally intensive. We propose a two-step inference procedure for GLMM with missing covariate data. It is shown that the proposed estimator is consistent and asymptotically normal with covariance matrix that can be easily estima...

AIM The aim was to detect the glmM gene of Helicobacter pylori (H. pylori) in cow's milk from different dairy farms in Khartoum State using Nested polymerase chain reaction (PCR). MATERIALS AND METHODS A total of 50 milk samples were collected from different dairy farms in Khartoum State (13 from Khartoum, 24 Khartoum North, and 13 from Omdurman Provinces). RESULTS The generated results sho...

Variational approximation methods have become a mainstay of contemporary Machine Learning methodology, but currently have little presence in Statistics. We devise an effective variational approximation strategy for fitting generalized linear mixed models (GLMM) appropriate for grouped data. It involves Gaussian approximation to the distributions of random effects vectors, conditional on the res...

There are various methods for detection of Helicobacter pylori and the gold standard for non-invasive detection is the urea breath test (UBT). The aim of the study is therefore to detect H. pylori from the stool of patients with dyspepsia by PCR and compare results obtained with UBT. A total of 97 stool samples from patients presenting with dyspeptic symptoms in Lagos University Teaching Hospit...