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Practicing Statistics in the Age of AI: Reflections from the Pharmaceutical Industry
Not long ago, a PhD student asked me whether artificial intelligence would eventually replace statisticians. The question is increasingly common as tools such as ChatGPT, Gemini, and Claude demonstrate an impressive ability to generate code, summarize research papers, and even suggest statistical models. For statisticians working in applied fields, particularly in pharmaceutical development, the question is both practical and immediate.
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