Sensitivity analysis can assess the impact of censored data from "summary" of Statistics for Censored Environmental Data Using Minitab and R by Dennis R. Helsel
Sensitivity analysis plays a crucial role in evaluating how censored data can affect statistical results. When dealing with censored environmental data, it is essential to understand the potential impact of these limitations on the analysis. Censored data occurs when values fall below or above a certain limit, leading to incomplete information that can skew the results if not appropriately addressed. By conducting sensitivity analysis, researchers can assess the robustness of their statistical conclusions in the face of censored data. This process involves systematically varying the censored values and observing how these changes influence the results. By exploring different scenarios, researchers can gain insights into the potential biases introduced by censoring and make more informed decisions about how to interpret the d...
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