Our focus at Analyse-it has always been on the development and improvement of our software. While we provide extensive help, tutorials, and technical support for Analyse-it, one area we do not cover is training and consultancy. As many of you will know we are based in England in the United Kingdom, and providing training and consultancy is often done better locally, in-person.
Instead we partner with experts who can provide training and consultancy in various disciplines, in local language, and geographically near (or at least nearer) to our customers. You can always find a list of current consultant and training partners at https://analyse-it.com/support/training
One of the experts we have had a long relationship with is Dr. Thomas Keller. Dr Keller is an independent statistician and has run ACOMED statistik for 15 years. One his many areas of expertise is the planning and evaluation of experiments for method validation and he has been involved in international working groups (IFCC, CLSI) in the fields of clinical chemistry and laboratory medicine. Dr. Keller was actually a customer and started to provide training in Analyse-it shortly after. His reputation is second to none in the industry and he has provided consultancy and training to many companies using Analyse-it. See an example of a course on Method Validation according to CLSI guidelines offered by Dr. Keller. He also provides WebEx and telephone consultations for anything from simple questions to full courses for individuals and small groups.
Dr. Keller is providing a training course in April on how to use Analyse-it in bio-statistical analysis. The course will be in Germany, in Leipzig, and details are below. If you would like to attend, would like to consult with Dr. Keller, or maybe even arrange a similar course for your colleagues, please contact Dr. Keller at https://analyse-it.com/support/training#drThomasKeller
Course details taken from: http://www.biosaxony-tools.de/limesurvey/index.php/764944/lang-de
3rd April 2019, 9am to 5pm BIO CITY Leipzig, Deutscher Platz 5c, 04103 Leipzig, Germany
The evaluation of data from clinical laboratories and biomedical research requires a sound statistical basis. In addition to the generation of research results, statistical methods also play a central role in quality assurance and method validation. A suitable software for this is the Excel-Add-On Analyse-It®, which provides basic statistical evaluations regarding estimation and testing as well as method validation. The software is based on the methodology described in the CLSI (Clinical Laboratory Standard Institute).
The seminar will introduce basic methods of bio-statistics. Data from method validation experiments will mainly be used as examples. The aim of the seminar is to introduce scientific staff and laboratory assistants to basic statistical approaches and at the same time to apply and deepen this knowledge in exercises.
The event is aimed at scientists and laboratory assistants from biomedical research as well as clinical laboratories and comparable institutions who use Microsoft Excel and, if applicable, Analyse-It® for their analyses or are planning to do so.
The workshop will be provided in German language only. In the seminar exercises with the statistics software Analyse-It® will form an important part. Participants should bring their own laptop with MS Excel installed. In addition, a temporary license for the Analyse-It® software will be provided in advance.
Part 1: Parametric and non-parametric description of data, introduction to the Analyse-It® software
Introduction to the Analyse-It® software Basic operation Structure of the data for evaluations with Analyse-It® Mean value and standard deviation Median and percentiles Suitable graphical representations Deviation from normal distribution Application: Data from clinical studies, reference limits
Part 2: Statistical estimation
Standard error and confidence interval Statistical testing with confidence intervals Test for difference vs. test for equivalence Application: Robustness investigations, method comparisons by means of difference plot
Part 3: Statistical hypothesis tests
How do hypothesis tests work? How do I select the appropriate test? How do I interpret the test results? Application: Data from clinical studies
Part 4: Linear Regression and ANOVA
Linear and Polynomial Regression Application: Linearity (Demonstration) ANOVA and variance components Application: Precision investigations (demonstration)
For pricing and information on how to book please see http://www.biosaxony-tools.de/limesurvey/index.php/764944/lang-de and contact Dr. Keller directly at https://analyse-it.com/support/training#drThomasKeller
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