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Filter results by category or authority level Twitter Search (searchtwittercom): Find short messages (tweets) mentioning your company, products, and services If you are a small brand and unable to nd anything, don t despair These basic search tools cover many of the major social media platforms, but they don t cover niche communities and forums For these, turn to 8 and following the steps listed to analyze your referring sites using the Referring Sites report in the Traf c Sources section of Google Analytics If you can uncover any forums, you can use the dedicated search on the forum site to dig deeper If your brand or product name is generic, or similar to a more visible term, you may have to do some grunt work to separate relevant results.

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Those who are not prepared to understand and re ect important dependencies should avoid probabilistic risk analysis Those using risk analysis results provided by others should pay particular attention to the understanding of dependence displayed by their analysts and totally reject any probabilistic analysis that suggests a failure to deal with dependence in an appropriate manner If the range of values associated with an important variable is clearly misjudged by a factor of 10, the associated risk analysis is clearly suspect If independence is assumed between half a dozen key variables when 50% dependence (or a coef cient of correlation of 05 or some equivalent level of dependence) is appropriate, the associated risk analysis is much more misleading A factor of 10 error on a single variable may be a trivial error in comparison Understanding dependence and understanding structure are related issues.

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The localized nature of liability doctrines should make one cautious in predicting the course of innovations in liability doctrines One of the vectors of change in medical liability law will be the eld of pharmacogenomics itself, as it forces judges to see risks to patients in new ways Another factor already in uencing courts to change is the manner in which drug manufacturers and health care have changed in response to market pressures of managed care and the gene rush The rst point at which these innovations in liability doctrine will be seen is probably in clinical research While the courts rhetoric will speak of the duties of physician-scientists, the underlying systems view of courts will increasingly have implications for manufacturers responsibility for engaging in research to reduce the genetic risks of their products.

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In other words, the division of responsibility between manufacturers and providers for genetic risks will be determined by judges in response to population groups, rather than individuals, insisting that the liability system operate as a system of social control over the development and deployment of pharmacogenomics Caution does not mean we must shy away from addressing the ethical and legal quandaries that are just over the horizon, but we should be explicit about our assumptions as we move forward My four basic assumptions about the relationship of liability doctrines to pharmacogenomics are as follows First, the professional-patient relationship as viewed in liability, as opposed to contract doctrines (Schuck, 1994), is foundational to the ethical and social obligations of all participants in the institution of medicine, including those who produce, distribute, and prescribe the products of pharmacogenomics.

The most effective way to deal with dependence in a statistical sense is to give it a causal structure that explains it Statistical dependence is causal dependence we have failed to identify and structure Sometimes a causal structure for dependence is not feasible, and other times it is not cost-effective In such cases experienced analysts can effectively employ measures like percentage dependence or coef cients of correlation However, to develop that experience, working with causal structures and conditional speci cations is an important part of the learning process..

Second, the liability of manufacturers of the products derived from pharmacogenomics will depend upon how courts, and perhaps legislatures, view the systemic relationship of professionals and pharmacogenomics producers Third, the initial introduction of pharmacogenomics will blur the distinction between liability doctrines associated with clinical treatment and research Fourth, scienti c descriptions of groups by their genotypes in the short run will not replace descriptions of individuals as members of distinct if not insular minorities or members of particular racial or ethnic groups It is apparent that pharmacogenomics creates a new way of assessing the risks and bene ts of drugs of all kinds at a point in time when systemic.

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