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Vienna, Austria

Lawo J.-P.,Baxter Innovations GmbH | Lawo N.C.,University of Natural Resources and Life Sciences, Vienna
Journal of Applied Entomology | Year: 2011

The intrinsic rate of natural increase (r m) is a common measurement in entomology to describe and evaluate the growth and adaptation of a population of arthropods to certain environmental conditions. Following the method of Birch, the r m is the solution of an exponential equation, which depends on the whole life cycle of each female and her survival time. A simplification of this equation was provided by Wyatt and White, which allows the study to be shortened as it does not depend on any survival times and only a part of the life cycle of the females. Therefore, this method has become quite popular among entomologists. As the r m is a population parameter, it lacks any variance and thus a valid statistical comparison of r ms for different populations is not straightforward. Hence, many approaches include statistical misconceptions. We discuss those approaches, apply them to real data and demonstrate some drawbacks of them. Furthermore, we present an easy to implement and consistent method for the comparison of r ms. © 2011 Blackwell Verlag, GmbH.

Jaki T.,Lancaster University | Wolfsegger M.J.,Baxter Innovations GmbH
Statistics in Medicine | Year: 2012

Pharmacokinetic (PK) studies aim to understand the kinetics of absorption, distribution, metabolism and elimination of a drug. Typically, such studies involve measuring the concentration of the drug in the plasma or blood at several time points after drug administration. In studying the PK behaviour, either the non-compartmental approach or alternatively a modelling approach can be utilized. Traditionally, the non-compartmental approach makes minimal assumptions about the data-generating process but requires the data to be collected in a very structured way. Conversely, the modelling approach depends heavily on assumptions about the data-generating process but does not impose a specific data structure. In this paper, we will discuss non-compartmental methods for estimating the area under the concentration versus time curve and other common PK parameters that use minimal assumptions about the data structure making it applicable to a wide range of PK studies. We will evaluate the methods using simulation and give an illustrative example. © 2011 John Wiley & Sons, Ltd.

Jaki T.,Lancaster University | Wolfsegger M.J.,Baxter Innovations GmbH
Pharmaceutical Statistics | Year: 2011

The study of the pharmacokinetic (PK) behavior of a compound is crucial to understand the absorbtion, distribution, metabolism and elimination of a drug by the body. PK studies involve measuring the concentration of the drug in the plasma or blood at several time points post drug administration. The classic complete data design samples each subject at all predefined time points. Ethical considerations and restrictions in blood volume, however, lead to incomplete data designs being frequently used instead. In serial sampling designs only one sample is taken from each subject, whereas batch designs take samples more than once from each subject, but not at all time points. In this manuscript the R package PK, which enables the computation of various PK parameters in complete and incomplete data designs, is introduced and some examples are given. Copyright © 2010 John Wiley & Sons, Ltd.

Baxter Innovations GmbH | Date: 2011-08-04

A medium is described for the protein-free and serum-free cultivation of cells, especially mammalian cells, whereby the medium contains a proportion of soy hydrolysate.

The invention relates to vWF cleaving entities having a molecular weight of 180 kD, 170 kD, 160 kD, 120 kD or 110 kD and an N-terminal amino acid sequence of AAGGILHLELLV, vWF cleaving complexes and methods for their production.

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