Common mistakes include using excessive data points that clutter visualization, choosing inappropriate color schemes that reduce readability, failing to provide clear labels and legends, neglecting proper scaling that distorts data relationships, and omitting context or source citations
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The model then uses negative binomial regression to model smoking attributable mortality from causes other than lung cancer as a function of lung cancer mortality [23]