In this note, an hydrozirconation/bromination/Michaelis-Arbuzov sequence was developped to introduce a trimethylene phosphonate unit on ketopyranosides. Performed polyfunctional substrates bearing orthogonal protecting groups, new approach provided straightforward entry towards large diversity of glycophosphomimetics having quaternary anomeric position.

For the first time in natural O-glycosides, a large amount of non-exo-anomeric conformation is experimentally detected, in solution.

Generalized linear mixed models (GLMM) form a very general class of random effects models for discrete and continuous responses in the exponential family. They are useful in a variety of applications. The traditional likelihood approach for GLMM usually involves high dimensional integrations which are computationally intensive. In this work, we investigate the case of binary outcomes analyzed u...

Longitudinal data tracking repeated measurements on individuals are highly valued for research because they offer controls for unmeasured individual heterogeneity that might otherwise bias results. Random effects or mixed models approaches, which treat individual heterogeneity as part of the model error term and use generalized least squares to estimate model parameters, are often criticized be...

The generalized linear mixed model (GLIMMIX) provides a powerful technique to model correlated outcomes with different types of distributions. The model can now be easily implemented with SAS PROC GLIMMIX in version 9.1. For binary outcomes, linearization methods of penalized quasi-likelihood (PQL) or marginal quasi-likelihood (MQL) provide relatively accurate variance estimates for fixed effec...

meysam yarie was born in 1987 in malayer/ hamedan, iran. he received his b.sc. in applied chemistry (2010) from malek-ashtar university of technology and m.sc. in organic chemistry (2012) from kurdistan university under the supervision of dr. kamal amani. he is currently working towards his ph.d. under the supervision of professor mohammad ali zolfigol. his research interest is the synthesis, c...

In this paper, we consider semiparametric estimation in a partially linear single– index panel data model with fixed effects. Without taking the difference explicitly, we propose using a semiparametric minimum average variance estimation (SMAVE) based on a dummy–variable method to remove the fixed effects and obtain consistent estimators for both the parameters and the unknown link function. As...

This paper considers ways to increase computational speed in generalized linear mixed pseudo-models for the case of many repeated measurements on subjects. We obtain linearly increasing computing timewith number of observations, as opposed to O(n3) increasing computing time using numerical optimization. We also find a surprising result; that incomplete optimization for covariance parameterswith...

This paper examines the asymptotic properties of the popular within, GLS estimators and the Hausman test for panel data models with both large numbers of cross-section (N) and time-series (T) observations. The model we consider includes the regressors with deterministic trends in mean as well as time invariant regressors. If a time-varying regressor is correlated with time invariant regressors,...