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Risk analysis is still a relatively new field for most areas of business
and government. Complex models, probability distributions and statistics
can leave the reader of a risk analysis report thoroughly confused. The
reader may have little understanding of the methods employed in risk analysis
or of how to interpret and make decisions from its results. In this environment,
it is essential that a risk analysis report guides the reader through
the assumptions, results and conclusions (if any) in a manner that is
transparent, efficient and interesting. We tend to write reports with
the following components (depending on the situation):
Summary
Introduction to problem
Decision questions addressed and those not addressed
Discussion of available data and relation to model choice;
Major model assumptions and the impact on the results if incorrect;
Critique of model, comment on validation;
Presentation of results
Discussion of possible options for improvement, extra data that would change the model or its results, additional work that could be done
Discussion of modeling strategy
Decision question(s)
Available data
Methods of addressing decision questions with available information
Assumptions inherent in different modeling options
Explanation of choice of model
Discussion of model used
Overview of model structure, how the sections relate together
Discussion of each section (data, mathematics, assumptions, partial results)
Results (graphical and statistical analyses)
Model validation
References and datasets
Technical appendices
Explanation of unusual equation derivations
Guide on how to interpret and use statistical and graphical outputs
Read on: Explaining a models assumptions