Development of SAS ® linear models procedures over the past several years has led to a number of easily accessible methodological statistical advances for experimental data analysis. The original linear models program, GLM, was a fixed model procedure for analysis of normally distributed data with homogeneous variances. The GENMOD procedure extended the fixed linear model analysis to a number o...

We propose in this paper a random intercept Poisson model in which the random effect distribution is assumed to follow a generalized log-gamma (GLG) distribution. We derive the first two moments for the marginal distribution as well as the intraclass correlation. Even though numerical integration methods are in general required for deriving the marginal models, we obtain the multivariate negati...

Fructokinase from beef liver is shown to be specific for the /3-furanose anomer of D-fructose (and the LY anomer of Lsorbose) by showing that certain 2,5-anhydroalditols are substrates, while other 2,5-anhydro compounds, 2,6-anhydro-D-mannitol, and 2,6-anhydro-D-glucitol are not. Km and Ir,,, values relative to D-fructose at pH 7.5, 25”, 4 mu MgATP are 2,5-anhydro-D-mannitol (1.7 mu, 1.97); 2,5...

Time series of discrete random variables present unique statistical challenges due to serial correlation and uneven sampling intervals. While regression models for a series of counts are well developed, only few methods are discussed for the analysis of moderate to long (e.g. from 20 to 152 observations) binary or binomial time series. This article suggests generalized linear mixed models with ...

While smoking remains the leading preventable cause of death in Australia, existing policy options, except for bans on smoking at public places, seem to have limited scope for expansion. Eight new smoking bans, introduced in six different Australian jurisdictions over 2003 and 2005, provide a basis for evaluation. The analysis extends a popular two-part model of smoking behaviour by GLM and cor...

We evaluate MCMC sampling schemes for a variety of link functions in generalized linear models with Dirichlet process random effects. First, we find that there is a large amount of variability in the performance of MCMC algorithms, with the slice sampler typically being less desirable than either a Kolmogorov-Smirnov mixture representation or a MetropolisHastings algorithm. Second, in fitting t...

Drawing on panel data from the ECHP, the BHPS and the GSOEP, we compare the economic performance of immigrants to Great Britain, West Germany, Denmark, Luxembourg, Ireland, Italy, Spain and Austria to that of the respective indigenous population. Economic performance is measured in terms of the country-specific pre-government income position and change in the relative income position due to red...

Generalized linear mixed models (GLMMs) enjoy increasing popularity because of their ability to model correlated observations. Integrated nested Laplace approximations (INLAs) provide a fast implementation of the Bayesian approach to GLMMs. However, sensitivity to prior assumptions on the random effects precision parameters is a potential problem. To quantify the sensitivity to prior assumption...

Modified nucleobases are potentially useful building blocks when containing catalytically active functionalities and could be introduced in chiral tridimensional molecules such as nucleic acids, which creates the premises for development of novel catalytic species. Herein, we describe synthesis a β-C-nucleoside bearing diol group at anomeric position, amenable metal ligand or organocatalyst. An...

Currently there is a lack of quantitative information regarding the driving factors of vegetation dynamics in post-Soviet Central Asia. Insufficient knowledge also exists concerning vegetation variability across sub-humid to arid climatic gradients as well as vegetation response to different land uses, from natural rangelands to intensively irrigated croplands. In this study, we analyzed the en...