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TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
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Northern Cape , South Africa , United States , United Kingdom , University College , New South Wales , Dan Adler , Richiardi Jonas , Victor Castro , Stacey Fisher , Boris Janssen , Laure Wynants , Vinyas Harish , Daniel Stahl , Viknesh Sounderajah , Evangelos Kanoulas , Conrad Harrison , Alex Garaiman , Junfeng Wang , Brooke Levis , Frank Rademakers , Adrian Barnett , Van Leeuwen , Jie Ma , Zane Perkins , Rachel Kuo ,

Causal inference as a blind spot of data scientists

Throughout much of the 20th century, frequentist statistics dominated the field of statistics and scientific research. Frequentist statistics primarily focus on the analysis of data in terms of probabilities and observed frequencies. Causal inference, on the other hand, involves making inferences about cause-and-effect relationships, which often goes beyond the scope of traditional frequentist statistical methods. ....

Baja California , New York , United States , United Kingdom , San Diego , Mark Zuckerberg , Jude Pearl , Judea Pearl , Roman Empire , Causal Inference , Synthetic Control , Directed Acyclic Graph ,