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This study was conducted to develop a method, termed 'back analysis (BA)', for converting non-compartmental variables to compartment model dependent pharmacokinetic parameters for both one- and two-compartment models. A Microsoft Excel((R)) spreadsheet was implemented with the use of Solver((R))...
Persistent link: https://www.econbiz.de/10009448354
Persistent link: https://www.econbiz.de/10012622398
fields: biology and economics. In biology, drug development is a highly inefficient and expensive process, which in the past … changing their approach and adopting techniques from the new field of systems biology to integrate information from disparate …
Persistent link: https://www.econbiz.de/10009441535
. The method can easily be adapted to bootstrap sampling requirements in other biomedical modelling applications. (C) 1999 …
Persistent link: https://www.econbiz.de/10009448194
In this review we explore issues of the sensitivity of Bayes estimates to the prior and form of the likelihood. With respect to the prior, we argue that non-Bayesian analyses also incorporate prior information, illustrate that the Bayes posterior mean and the frequentist maximum likelihood...
Persistent link: https://www.econbiz.de/10010603967
This paper serves as an introduction and survey for economists to the field of sequential Monte Carlo methods which are also known as particle filters. Sequential Monte Carlo methods are simulation based algorithms used to compute the high-dimensional and/or complex integrals that arise...
Persistent link: https://www.econbiz.de/10008629978
Likelihood-based inference for epidemic models can be challenging, in part due to difficulties in evaluating the likelihood. The problem is particularly acute in models of large-scale outbreaks, and unobserved or partially observed data further complicates this process. Here we investigate the...
Persistent link: https://www.econbiz.de/10005046659
Persistent link: https://www.econbiz.de/10005616195
This paper serves as an introduction and survey for economists to the field of sequential Monte Carlo methods which are also known as particle filters. Sequential Monte Carlo methods are simulation based algorithms used to compute the high-dimensional and/or complex integrals that arise...
Persistent link: https://www.econbiz.de/10010782433
A state space mixed models for binary time series where the inverse link function is modeled to be a cumulative …, Student-t, slash and the variance gamma links. The threshold latent approach to represent the binary system as a linear state …
Persistent link: https://www.econbiz.de/10010719688