Dan Green

Dan Green, a Senior Teaching Fellow at Aston University and a statistical reviewer, shares invaluable insights into common statistical errors found in submitted manuscripts. He discusses the importance of avoiding incorrect causal language and emphasizes the need for well-structured abstracts. Green highlights tips on reporting statistical analyses accurately, utilizing clear participant flow diagrams, and avoiding pitfalls in regression modeling. He also advises against relying solely on univariable p-values for model building, promoting transparency in reporting missing data.