PubMed · 16163276
Many alternative techniques are available to ensure the best possible outcome for an implant restoration.
Explore connections, maps & timelines
L Howe, P Palmer, V Barrett. 1999-12-11. Advanced restorative techniques.. https://doi.org/10.1038/sj.bdj.4800340a
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
Between the first (1952) and the third (1980) editions of psychiatry's Diagnostic and Statistical Manual of Mental Disorders, depression emerged as a specific disease category with concrete criteria. In this article, I analyze this change over time in psychiatric theory and diagnosis through an examination of medication trials and category formation. Throughout, I pay particular attention to the ways in which psychiatrists and researchers invoked science in their clinical trials and disease theories, as well as the ways in which gender played an important but largely unspoken role in the formation of a category of depression.
An individual assessing a risky job can be understood as a public good. He and each of his valued relationships place a demand for the preservation of his life and health for which he accepts a responsibility to preserve. Additional demands generally do not deplete his capacity for beneficial relationships, hence, they are nonrival. It follows that the more extensive are his relationships the greater is his social capital. Although a common metric to compare and aggregate such relationships is not practical, the paper demonstrates that the common social capital indicators can yield qualitative predictions on changes in risky behaviors in the context of conventional value of life models familiar within health economics. The individual will change his behavior toward risk upon experiencing an exogenous change in his social capital: when he marries, has children, acquires friends, or experiences a more socially active community. The empirical sections of the paper show this prediction to conform well to prior studies of micro data as well as to original empirical analysis of aggregate data.
In an earlier article in Health Economics, Salomon and Murray argue that by applying maximum likelihood techniques to predetermined functional forms and to a data set where a number of health states are valued by means of four standard valuation techniques, underlying 'pure' valuations of health may be teased out, together with estimates of parametric relationships between these 'pure' valuations and valuations based on the four standard techniques. We argue below that 'pure' valuations of health are ordinal rather than cardinal and that the 'pure' values that result from the multi-method approach give a false impression of being cardinal. They are therefore not usable as weights for life years. In the unlikely event that the authors should be able to demonstrate cardinality in 'pure' valuations of health, it must be possible to have subjects express these valuations directly, in which case there seems to be no need for the indirect multi-method approach.