statisticians

Introduction to Clivoffective

The field of statistics is rapidly growing, and statisticians play an important role in providing a competitive advantage to companies. However, finding the right job or candidate for a position can be challenging. That’s where Clivoffective comes in – a collaboration between Clivolution and The Effective Statistician focused on connecting statisticians with career opportunities. If …

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How to get our statistics community to the next level

We statisticians have always been important for brining new therapies to patients. We design experiments, analyze and interpret data to provide valuable insights that can help make informed decisions. However, the value of our work increases if we’re able to lead others.  But becoming an inspirational statistician requires more than just technical expertise. As you …

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5 Reasons for Career Failure

Are you a statistician or data scientist looking to excel in your career and make an impact in the healthcare industry? Today’s episode is inspired by a German podcast that delved into five key reasons for career failure and I fine-tuned this to fit statisticians.  As professionals working with complex projects and tight deadlines, it’s important that …

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Announcing The Effective Statistician Academy

If you’re a statistician, data scientist, or programmer looking for quality training opportunities that will help you advance your career, you might want to look into The Effective Statistician Academy. This exclusive academy offers a range of courses that cover essential topics in the field of statistics. From leadership to innovation, knowledge, and excellence, you’re …

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Bayesian approaches in early clinical research

What knowledge gaps exist regarding the implementation of these new analytical techniques, and how can statisticians and data scientists bridge them to maximize effectiveness of clinical research? Despite the promises of Bayesian approaches, the lack of expert training, software tools, and computational resources has made their adoption slow. Statisticians and data scientists should invest in …

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