Performance in population models for count data, part I: maximum likelihood approximations.
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Improved utilization of ADAS-cog assessment data through item response theory based pharmacometric modeling.Modeling and simulation of count data.New generalized poisson mixture model for bimodal count data with drug effect: An application to rodent brief-access taste aversion experiments.Predicting relapsing-remitting dynamics in multiple sclerosis using discrete distribution models: a population approach.Performance in population models for count data, part II: a new SAEM algorithmImplementation and evaluation of the SAEM algorithm for longitudinal ordered categorical data with an illustration in pharmacokinetics-pharmacodynamicsModeling longitudinal daily seizure frequency data from pregabalin add-on treatment.Population Fisher information matrix and optimal design of discrete data responses in population pharmacodynamic experiments.A Population Approach to Characterize Interferon Beta-1b Effect on Contrast Enhancing Lesions in Patients With Relapsing Remitting Multiple Sclerosis.A Joint Model for the Kinetics of CTC Count and PSA Concentration During Treatment in Metastatic Castration-Resistant Prostate Cancer.Performance and robustness of the Monte Carlo importance sampling algorithm using parallelized S-ADAPT for basic and complex mechanistic models.Performance comparison of various maximum likelihood nonlinear mixed-effects estimation methods for dose-response modelsD optimal designs for three Poisson dose-response models.Optimal clinical trial design based on a dichotomous Markov-chain mixed-effect sleep model.Evaluation of bias, precision, robustness and runtime for estimation methods in NONMEM 7.Population Pharmacokinetics of Polymyxin B.Performance comparison of first-order conditional estimation with interaction and Bayesian estimation methods for estimating the population parameters and its distribution from data sets with a low number of subjects.Likert pain score modeling: a Markov integer model and an autoregressive continuous model.
P2860
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P2860
Performance in population models for count data, part I: maximum likelihood approximations.
description
2009 nî lūn-bûn
@nan
2009 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Performance in population mode ...... mum likelihood approximations.
@ast
Performance in population mode ...... mum likelihood approximations.
@en
type
label
Performance in population mode ...... mum likelihood approximations.
@ast
Performance in population mode ...... mum likelihood approximations.
@en
prefLabel
Performance in population mode ...... mum likelihood approximations.
@ast
Performance in population mode ...... mum likelihood approximations.
@en
P2093
P1476
Performance in population mode ...... mum likelihood approximations.
@en
P2093
Alan Maloney
Elodie L Plan
Mats O Karlsson
P2888
P304
P356
10.1007/S10928-009-9126-8
P577
2009-08-04T00:00:00Z
P6179
1046296690