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Causal Analysis/Diagnosis Decision Information System (CADDIS)
Begin Hierarchical Links EPA Home > CADDIS > Step-by-Step Guide > Step 3: Evaluate Data from the Case End Hierarchical Links
Step-by-Step Guide
  Step 1: Define the   Impairment
  Step 2: List Candidate   Causes
  Step 3: Eliminate
  Step 4: Diagnose
  Step 5: Compare   Strength of Evidence
  Step 6: Identify   Probable Cause
 
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Step 3: Evaluate Data from the Case  This image is a drawing of a caddisfly larva in its case. Caddisflies are aquatic insects that are used by biologists to monitor the environmental quality of streams.
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4.0. Assembling Data from Elsewhere
 

Data from elsewhere can include the following:

  • Information from the literature

    The scientific literature contains a wealth of information useful for causal analysis. Laboratory studies can be used to generate stressor-response relationships. For chemicals, the literature on laboratory stressor-response relationships has already been compiled and extracted by the U.S. EPA into the EcoTox database. The development of an analogous database for field observational studies (CADlit) is underway. Field observational studies can be used to evaluate whether causes are consistently associated with effects or whether diagnostic symptoms have been identified. Information useful for evaluating causal mechanisms includes organism life history attributes, biomarkers, and pharmacokinetic experiments.

  • Observations from similar cases

    Observations from similar cases can yield insights into the current investigation, particularly if other investigators have implemented management actions or identified diagnostic symptoms. Unfortunately, there is no central repository of documented field investigations, and these studies often are not published. You must rely on your network of colleagues for much of this information.

  • Data sets from larger geographic areas

    Data sets from state and regional biological surveys are becoming increasingly available [insert links to EMAP, NWQA, and WSA here]. Although the observational period and the suite of stressor data can be limited, these data can be used to derive stressor-response relationships, to evaluate whether effects are consistently observed at the same locations as stressors, and to identify and analyze important confounding variables.

Next: 4.1. Overview     Continue to Step 5
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