What gives the amount of change required for doubling the primary outcome odds?

The concept of doubling the primary outcome odds refers to the specific measure needed to understand how much of an increase is necessary to achieve this change in odds. The term "Doubling Amount" effectively captures this idea, as it directly reflects the numerical value associated with increasing the odds of the primary outcome by 100%. In statistical modeling, particularly in logistic regression, understanding how odds shift is crucial for interpreting the impact of predictor variables on the response variable.

The other terms do not encapsulate this specific idea as accurately as "Doubling Amount." For instance, a "Change Event" may imply an occurrence or factor that modifies the outcome but does not specify the quantitative aspect required for doubling the odds. The "Logit Score" refers to the logarithm of the odds and is used to analyze the probability of outcomes, but it does not directly indicate the amount required for doubling outcomes. "Outcome Change" is a broader term that denotes any modification to the results without indicating the magnitude of change necessary for achieving a specific goal like doubling the odds.

In essence, "Doubling Amount" is the most precise term reflecting the specific requirement for how much change is needed to achieve a doubling of the odds of a primary outcome.