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You are here: Home / 2019 / Archives for April 2019

Archives for April 2019

How to best analyse ordinal data

By Alexander on 2019-04-30 0

Overcoming the simplification strategy

Analysing binary or continuous data usually doesn’t cause any headaches for statisticians. But when we step into ordinal data, most of us ignore their specific nature and either dichotomize them or analyse them as if they are continuous.

Recently, these problems have becoming much more prevalent due to the nature of composite endpoints (watch out for an interesting episode on this in a few weeks).

Now Benjamin and I have worked on better tools to analyse such data already at university. We’ll dig back into what we learned then and what is still relevant today.

Specifically, we’ll cover the following questions:

[Read more…] about How to best analyse ordinal data

What you should know about risk-based monitoring!

By Alexander on 2019-04-23 0

Interview with Tim Rolfe

Risk-based monitoring plays an increasingly important role for clinical trials. Of course, the assessment of the risk is based on statistics. This presents now only interesting career options for statisticians, but also has an impact on the role of statisticians in study teams.

In this episode, we’ll give you an introduction to risk-based monitoring (RBM) as well as speak about the role of statisticians in this area. Further we provide you as a study statistician insights into what you need to know about RBM. Finally, we also give some recommendations in terms of further resources to learn from.

[Read more…] about What you should know about risk-based monitoring!

How to train non-statisticians effectively – 11 tips to succeed

By Alexander on 2019-04-18 0

Today we’re answering a question from the listeners. As nearly everybody will need to train non-statisticians sooner or later, this is a relevant topic. Unfortunately, lots of the trainings fall short and leave the audience confused and even bored.

This episode helps you to make your training engaging, interesting and useful. Such a training will help you to build your reputation as an expert as well as a great person to work with. It’s an awesome experience for non-statistician, if they have a light-bulb moment while being trained on statistics.

Listen to the episode and learn about these 11 tips to make your training successful:

[Read more…] about How to train non-statisticians effectively – 11 tips to succeed

Why and how to understand patient preferences

By Alexander on 2019-04-09 0

Interview with Brett Hauber

Ultimately, we work to improve patients lives but traditionally the voice of the patient was not important. However, over the last decades many stakeholders shift to include the patient more in the decision-making process and patients voice their needs and preferences more.

Still capturing and evaluating patient preferences does not belong to the core capabilities of most biostatisticians. This episode will help you to understand:

[Read more…] about Why and how to understand patient preferences

Does getting a PhD help you long term? Pro vs Con

By Alexander on 2019-04-02 0

What aspects to consider?

  • Are you early in your career and you could still go for a PhD in statistics?
  • Do you wonder, if this pays out short and long-term?
  • Is it worth the money?
  • What are the long-term benefits or are there actually short term benefits as well?
[Read more…] about Does getting a PhD help you long term? Pro vs Con

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