Statistical Models for Model-Based Drug Development

Alternative statistical strategies for biosimilar drug development

Model-based drug development applied to oncology.

Model-based drug development (MBDD) is an approach that is used to organize the vast and complex data streams that feed the drug development pipelines of small molecule and biotechnology sponsors. Such data streams are ultimately reviewed by the global regulatory community as evidence of a drug's potential to treat and/or harm patients. Some of this information is captured in the scientific lit...

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Implementing a Domain-specific Language for Model-based Drug Development

In this paper, we present the implementation of a novel domain-specific language (DSL) for pharmacometric modeling called the Modelling Description Language (MDL). MDL is a modular, declarative language with block structures that allows users to abstract data, processes and mathematical models from auxiliary code, and hence, improves model readability, reusability and opportunities for collabor...

A Simulation-Based Optimization Model for Scheduling New Product Development Projects in Research and Development Centers

a simulation-based optimization approach for the purpose of finding a near-optimal answer can be efficient and effective. In the present paper, first, the mathematical model for the project activity scheduling problem has been presented with a job shop approach. Then, using the Arena 14 software, the simulation model has been designed. Consequently, a numerical example has been solved via runni...