The Effective Statistician - in association with PSI

Interview with Kim Hacquoil and Jamie Inshaw A new course explaining how simulations can improve study design and data decision-making. The course outline. Benefit of honing simulation skills for all statisticians, both early-phase and late-phase trials, in order to provide more accurate advice to colleagues, and more! The benefits of simulations include improved protocol development, sample size determination, and data analysis planning. Kim and Jamie's new course, "Mastering Study Design and Strategy with Simulations," offers a comprehensive guide to using simulations in study design and is available from July 2023. By improving their simulation skills, statisticians can provide valuable insights to their colleagues, resulting in better-designed trials and more efficient data analysis. Share this episode with your friends and colleagues now!

Interview with Marius Sieverding Brown's "Dare to Lead" emphasizes the importance of cultivating courage and bravery in leaders Embracing vulnerability, Being true to values Setting boundaries Knowing and understanding their “why” Asking for help Holding oneself accountable Empathy Brené Brown's "Dare to Lead" offers practical advice and research-backed evidence to help leaders develop trust with others through empathy and vulnerability. Through Marius' PSI Book Club review, statisticians could delve deeper into the book, have rich discussions, and apply its principles in the work environment. Emotional connection, accountability, and empathy are just some of the many essential tools leaders might utilize to create a more positive work environment. Ultimately, cultivating these leadership skills can benefit the whole team and lead to better experiences for both employees and employers alike. So listen to this episode now and share this with your friends and colleagues!

Interview with André and Evelyn Hund Clivoffective's platform How connects candidates with hiring managers The exclusive access to networking, training, and career advancement opportunities. Its next-level recruitment process by introducing its 'Active Talent Selection' approach, which ensures that candidates are connected with the right employers. The pre-evaluation process. Clivoffective has revolutionized recruitment in the statistics market. With Clivoffective at the forefront of recruitment in the statistics market, the future looks bright for candidates and employers alike. Listen to this episode now and share this with your friends and colleagues who are looking for opportunities! Click here to learn more about Clivoffective and join the network: Clivoffective

Interview with Debarshi Dey A statistician should act as a detective by asking questions to uncover what is really being asked of them and navigating uncertain spaces to reach conclusions. When acting as a lawyer, statisticians must keep in mind who their audience is in order to present information effectively. A statistician should act as a journalist that understands how evidence is used down the line, such as when presenting figures or tables to clients or stakeholders. Being a killer statistician is not just about number crunching and data analysis. It is about adopting multiple roles to uncover insights, communicate effectively, and ensure real-world impact. Developing these skills requires a combination of methodological proficiency, curiosity, and awareness of the context and audience. By following Debarshi's advice and curating role models, we as statisticians can become successful and impactful. Listen to this episode now and share this with your friends and colleagues who can learn from this! Resource: What makes a killer statistician?  

Interview with Alun Bedding Understand Business Operations Leadership Is About Inspiring People You Can be a Leader Without a Title Collect Stories and Role Models Passion and Focus Listen to this episode now and share this with your friends and colleagues!

Discussion with Alexander Perfectionism can lead to career failure due to a fear of judgement, or low self-esteem. Procrastination can be caused by an unclear next step, or a task taking too long. Being too busy often leads to stress and an inability to invest in personal development. Fear of failure or rejection can prevent exposure and impede career progression. Missing inspiration or passion reduces motivation and the ability to influence others. By recognizing these five reasons for career failure – perfectionism, procrastination, being too busy, fear of failure or rejection, and lack of inspiration or passion – you will be better equipped to tackle them head-on and achieve your goals. Remember, a successful career is not just about hard work; it’s also about self-awareness, personal growth, and a willingness to take risks. Share this link with your friends and colleagues who can learn from this!

Discussion with Alexander The Academy offers a range of training courses in four distinct areas: Leadership, Innovation, Knowledge and Excellence. Courses are taught by experts in their respective fields and cover topics such as Estimands, Simulation, Data Visualization and Digital Health Applications. Training is both affordable and easily accessible with content split into digestible chunks for maximum convenience. Listen to the episode now to learn more about the conference and share this link with your friends and colleagues!

Discussion with Alexander Schacht What are the key elements to building trust with coworkers and supervisors as a statistician What role does setting expectations and abiding by specific timelines play in the success of a project as a statistician? How can the use of creative data visualizations such as animated scatter plots offer a different perspective on data beyond traditional line graphs and bar charts as a statistician? Some experiences where data visualizations are demonstrated to an advisory board and evoked a "wow" effect for their surprising quality as a statistician Why is data visualization especially effective in communicating complex ideas in a manner that non-statisticians can understand as a statistician? How can investing in data visuals help one stand out and over-deliver expectations in certain cases, potentially leading to promotions as a statistician? Details to provide about your interactive workshops on data visualization that you present both online and in person as a statistician?

Discussion with Alexander and Benjamin How can statisticians, programmers, and data managers work together to develop quality products quickly? What measures can we take to ensure that everyone involved has an understanding of the project's goals and processes? How we can strike a balance between rigorous processes and trusting individuals to make decisions without cutting corners? What strategies we can implement in order to ensure effective communication between all parties involved in a project? In the event of mistakes or setbacks, how can postmortems and lessons learned meetings help to resolve issues with lasting solutions rather than pointing fingers? Listen to this episode and share with your friends and colleagues!

Interview with Miguel Pereira What can statisticians and data scientists learn by exploring the early development research questions? Are there any unique design challenges that they should be aware of? How can Bayesian approaches offer new insights that traditional methods cannot provide? What strategies should data scientists employ in order to successfully navigate the complexities of these new approaches? What knowledge gaps exist regarding the implementation of these new analytical techniques, and how can statisticians and data scientists bridge them in order to maximize their effectiveness? These are all important questions for statistical and data science practitioners, and exploring them further could reveal opportunities for novel ways to approach problems in an increasingly complex field. So, share this link with your colleagues!