Obsession About Bias

Statistician Alexander delves into the intricacies of bias and precision in statistical analysis, challenging the misconception that unbiased methods are always superior. He discusses examples like matched adjusted indirect comparison and subgroup analysis, emphasizing the trade-offs and costs of methodological choices. The importance of decision-making and stakeholder discussions in acknowledging biases and uncertainties is highlighted.