Chetboul, Valérie, Tissier, Renaud, Gouni, Vassiliki, De Almeida, Virginie, Lefebvre, Hervé, Concordet, Didier, ...
OBJECTIVE: To determine the intra- and interobserver variability of systolic arterial pressure (SAP) and diastolic arterial pressure (DAP) measurements obtained with 2 indirect methods in awake dogs...
Chetboul, Valérie, Tissier, Renaud, Gouni, Vassiliki, De Almeida, Virginie, Lefebvre, Hervé, Concordet, Didier, ...
OBJECTIVE: To determine the intra- and interobserver variability of systolic arterial pressure (SAP) and diastolic arterial pressure (DAP) measurements obtained with 2 indirect methods in awake dogs...
Chetboul, Valérie, Tissier, Renaud, Gouni, Vassiliki, De Almeida, Virginie, Lefebvre, Hervé, Concordet, Didier, ...
OBJECTIVE: To determine the intra- and interobserver variability of systolic arterial pressure (SAP) and diastolic arterial pressure (DAP) measurements obtained with 2 indirect methods in awake dogs...
Confidence regions for the multinomial parameter with small sample size (2009)
Chafai, Djalil, Concordet, Didier
Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M(n,p) where p is an unknown...
Confidence regions for the multinomial parameter with small sample size (2009)
Chafai, Djalil, Concordet, Didier
Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M(n,p) where p is an unknown...
Chafai, Djalil, Concordet, Didier
We propose a new method for the Maximum Likelihood Estimator (MLE) of nonlinear mixed effects models when the variance matrix of Gaussian random effects has a prescribed pattern of zeros (PPZ). The...
Chafai, Djalil, Concordet, Didier
We propose a new method for the Maximum Likelihood Estimator (MLE) of nonlinear mixed effects models when the variance matrix of Gaussian random effects has a prescribed pattern of zeros (PPZ). The...
Comparison of nonparametric methods in nonlinear mixed effects models (2009)
Antic, Julie, Laffont, Céline, Chafai, Djalil, Concordet, Didier
During the drug development, nonlinear mixed effects models are routinely used to study the drug's pharmacokinetics and pharmacodynamics. The distribution of random effects is of special interest...
Comparison of nonparametric methods in nonlinear mixed effects models (2009)
Antic, Julie, Laffont, Céline, Chafai, Djalil, Concordet, Didier
During the drug development, nonlinear mixed effects models are routinely used to study the drug's pharmacokinetics and pharmacodynamics. The distribution of random effects is of special interest...
Chafai, Djalil, Concordet, Didier
We propose a new method for the Maximum Likelihood Estimator (MLE) of nonlinear mixed effects models when the variance matrix of Gaussian random effects has a prescribed pattern of zeros (PPZ). The...
Chafai, Djalil, Concordet, Didier
We propose a new method for the Maximum Likelihood Estimator (MLE) of nonlinear mixed effects models when the variance matrix of Gaussian random effects has a prescribed pattern of zeros (PPZ). The...
Comparison of nonparametric methods in nonlinear mixed effects models (2009)
Antic, Julie, Laffont, Céline, Chafai, Djalil, Concordet, Didier
During the drug development, nonlinear mixed effects models are routinely used to study the drug's pharmacokinetics and pharmacodynamics. The distribution of random effects is of special interest...
Comparison of nonparametric methods in nonlinear mixed effects models (2009)
Antic, Julie, Laffont, Céline, Chafai, Djalil, Concordet, Didier
During the drug development, nonlinear mixed effects models are routinely used to study the drug's pharmacokinetics and pharmacodynamics. The distribution of random effects is of special interest...
Chafai, Djalil, Concordet, Didier
We propose a new method for the Maximum Likelihood Estimator (MLE) of nonlinear mixed effects models when the variance matrix of Gaussian random effects has a prescribed pattern of zeros (PPZ). The...
Confidence regions for the multinomial parameter with small sample size (2009)
Chafai, Djalil, Concordet, Didier
Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M(n,p) where p is an unknown...
Comparison of nonparametric methods in nonlinear mixed effects models (2009)
Antic, Julie, Laffont, Céline, Chafai, Djalil, Concordet, Didier
During the drug development, nonlinear mixed effects models are routinely used to study the drug's pharmacokinetics and pharmacodynamics. The distribution of random effects is of special interest...
Cecile Ane, Didier Concordet, John Wiley
Population pharmacokinetics=pharmacodynamics relationships of an anticancer drug
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
Chafai, Djalil, Concordet, Didier
We propose a new method for the Maximum Likelihood Estimator (MLE) of nonlinear mixed effects models when the variance matrix of Gaussian random effects has a prescribed pattern of zeros (PPZ). The...
Chafai, Djalil, Concordet, Didier
We propose a new method for the Maximum Likelihood Estimator (MLE) of nonlinear mixed effects models when the variance matrix of Gaussian random effects has a prescribed pattern of zeros (PPZ). The...
Confidence regions for the multinomial parameter with small sample size (2008)
Chafai, Djalil, Concordet, Didier
Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M_d(n,p) where p is an unknown...
Confidence regions for the multinomial parameter with small sample size (2008)
Chafai, Djalil, Concordet, Didier
Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M_d(n,p) where p is an unknown...
Confidence regions for the multinomial parameter with small sample size (2008)
Chafai, Djalil, Concordet, Didier
Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M(n,p) where p is an unknown...
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
Comparison of nonparametric methods in nonlinear mixed effects models (2008)
Antic, Julie, Laffont, Céline, Chafai, Djalil, Concordet, Didier
During the drug development, nonlinear mixed effects models are routinely used to study the drug's pharmacokinetics and pharmacodynamics. The distribution of random effects is of special interest...
Comparison of nonparametric methods in nonlinear mixed effects models (2008)
Antic, Julie, Laffont, Céline, Chafai, Djalil, Concordet, Didier
During the drug development, nonlinear mixed effects models are routinely used to study the drug's pharmacokinetics and pharmacodynamics. The distribution of random effects is of special interest...
Confidence regions for the multinomial parameter with small sample size (2008)
Chafai, Djalil, Concordet, Didier
Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M(n,p) where p is an unknown...
Confidence regions for the multinomial parameter with small sample size (2008)
Chafai, Djalil, Concordet, Didier
Consider the observation of n iid realizations of an experiment with d>1 possible outcomes, which corresponds to a single observation of a multinomial distribution M(n,p) where p is an unknown...
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
Chafai, Djalil, Concordet, Didier
We propose a new method for the Maximum Likelihood Estimator (MLE) of nonlinear mixed effects models when the variance matrix of Gaussian random effects has a prescribed pattern of zeros (PPZ). The...
On the strong consistency of asymptotic M-estimators (2007)
Chafai, Djalil, Concordet, Didier
The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators. The method relies on the...
On the strong consistency of asymptotic M-estimators (2007)
Chafai, Djalil, Concordet, Didier
The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators. The method relies on the...
On the strong consistency of asymptotic M-estimators (2007)
Chafai, Djalil, Concordet, Didier
The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators. The method relies on the...
On the strong consistency of asymptotic M-estimators (2007)
Chafai, Djalil, Concordet, Didier
The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators. The method relies on the...
On the strong consistency of asymptotic M-estimators (2007)
Chafai, Djalil, Concordet, Didier
The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators. The method relies on the...
A continuous stochastic maturation model (2006)
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
A continuous stochastic maturation model (2006)
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
On the strong consistency of asymptotic M-estimators (2005)
Chafai, Djalil, Concordet, Didier
The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators. The method relies on the...
On the strong consistency of approximated M-estimators (2005)
Chafai, Djalil, Concordet, Didier
The aim of this article is to provide a strong consistency Theorem for approximated M-estimators. It contains both Wald and Pfanzagl type results for maximum likelihood. The proof relies, in...
On the strong consistency of asymptotic M-estimators (2005)
Chafai, Djalil, Concordet, Didier
The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators. The method relies on the...
On the strong consistency of asymptotic M-estimators (2005)
Chafai, Djalil, Concordet, Didier
The aim of this article is to simplify Pfanzagl's proof of consistency for asymptotic maximum likelihood estimators, and to extend it to more general asymptotic M-estimators. The method relies on the...
A continuous stochastic maturation model (2004)
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
A continuous stochastic maturation model (2004)
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
A continuous stochastic maturation model (2004)
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...
Chafai, Djalil, Concordet, Didier
We present a continuous time model of maturation and survival, obtained as the limit of a compartmental evolution model when the number of compartments tends to infinity. We establish in particular...