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The paper is mainly addressed to engineers and machine monitoring systems developers, therefore selected statistical topics were treated briefly with main focus on practical solutions.
Table 2 shows frequencies of statistical topics commonly chosen by both staff and postgraduate students.
Here, I focus on three main statistical topics in NLMEM: parameter estimation, model evaluation, and optimal design.
Responses were dominated by a desire that statistical topics be more applied to clinical work and to interpreting research.
I then focus on three statistical topics in pharmacometrics, describing Lewis Sheiner's impact and my own contributions and interactions with him.
There are some statistical topics which can be covered quite conveniently in this way, such as measurement error, coefficients of variation, reference intervals, sensitivity and specificity, etc.
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Identification of statistical outliers in univariate data is an established but highly debated statistical topic (Barnett and Lewis, 1994; Hawkins, 1980).
This is a difficult statistical topic and the authors recognize that the data and the descriptive nature of the methods should be improved.
An important statistical topic that is often neglected in prognostic marker studies is model validation with external data (Holländer and Sauerbrei, 2006).
The obvious practical potentialities make this recent statistical research topic a major one.
Students were given a short lecture on a statistical analysis topic and a demonstration of how to use microarray data analysis software.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com