Statistics (data science) ... is the art of collecting, presenting, analysing and interpreting data in order to gain new knowledge. Zurich Skyline Statistische Auswertungen Seminare Statistik Nachhilfeunterricht

STATISTICAL ANALYSES

Biostatistics is an interplay between medical expertise and statistical applications. A good understanding of the medical issue and available data is a prerequisite for gaining as much new knowledge as possible. For this reason, the dialogue with my clients is a high priority in my company philosophy. It also reflects my endeavour to communicate the applied statistical procedures to my clients in a clear and transparent manner. If desired, communication takes place in the form of meetings (on site, by e-mail, telephone or zoom), but always in the form of self-contained protocols. The analyses carried out and the results obtained should be easy to understand so that they can be used as directly as possible, for example in the form of publications.

My support extends beyond pure statistical analyses into the publicational process (by providing statistical formulations, ready-to-print graphs and tables, review) or begins with the development of the research question or the design of the study:

Source of every statistical analysis is an idea or a hypothesis about a causal relationship or correlation between measured variables. In order for statistical analyses to actually produce significant results, it is not only necessary to formulate the hypotheses precisely, but also to have a well-developed experimental design:

„To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of.“ (R. A. Fisher, 1890-1962) 

The experimental design addresses all the questions that should be answered prior to data collection and is the key to success! The questions are diverse in nature:

  • Practical: how are the measurements carried out – in compliance with all ethical, medical, economic, etc. guidelines – …?
  • Logistical / administrational: how are the measurements organised in practice…?
  • Economical: what costs can be expected, how will they be covered…?
  • Statistical: what and how much data will be collected, what methods of analysis will be used…?
  • etc.

Subsequent adjustments are often not only impossible, but also inadmissible, especially in the statistical context, because they falsify the results.

I am happy to offer you my support not only in analysing given data, but also already in planning your study or in preparing the results for further processing in the form of publications.

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I look forward to hearing from you!