942 resultados para Process safety index
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Includes index.
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Includes index.
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Includes bibliographical references and index.
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Includes index.
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Prepared for the Highway Research Board.
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1961 supplement tipped in the back of book.
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- The leader looks at: 1. The leadership dilemma, by Warren H. Schmidt; 2. Authority and hierarchy, by David S. Brown; 3. Group effectiveness, by Gordon L. Lippitt and Edith Seashore; 4. Self-development, by Malcom S. Knowles; 5. Process of change, by Thomas R. Bennett II; 6. Decision-making, by David S. Brown; 7. Communication, by Leslie E. This; 8. Individual motivation, by Paul C. Buchanan; 9. Creativity, by Irving R. Weschler; 10. The consultative process, by Richard Beckhard; 11. Staff-line relations, by Ross Pollock; 12. The appraisal of personnel, by Michael G. Blansfield. - Training film index.; 13. The leader looks at the learning climate, by Malcolm S.
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"September 10, 24, and 25, 1998"--Pts. 3 and 4.
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Includes papers describing research sponsored by the Office of Nuclear Regulatory Research, NRC.
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Includes bibliographies.
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Includes bibliographies.
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Includes index.
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The study aimed to examine the factors influencing referral to rehabilitation following traumatic brain injury (TBI) by using social problems theory as a conceptual model to focus on practitioners and the process of decision-making in two Australian hospitals. The research design involved semi-structured interviews with 18 practitioners and observations of 10 team meetings, and was part of a larger study on factors influencing referral to rehabilitation in the same settings. Analysis revealed that referral decisions were influenced primarily by practitioners' selection and their interpretation of clinical and non-clinical patient factors. Further, practitioners generally considered patient factors concurrently during an ongoing process of decision-making, with the combinations and interactions of these factors forming the basis for interpretations of problems and referral justifications. Key patient factors considered in referral decisions included functional and tracheostomy status, time since injury, age, family, place of residence and Indigenous status. However, rate and extent of progress, recovery potential, safety and burden of care, potential for independence and capacity to cope were five interpretative themes, which emerged as the justifications for referral decisions. The subsequent negotiation of referral based on patient factors was in turn shaped by the involvement of practitioners. While multi-disciplinary processes of decision-making were the norm, allied health professionals occupied a central role in referral to rehabilitation, and involvement of medical, nursing and allied health practitioners varied. Finally, the organizational pressures and resource constraints, combined with practitioners' assimilation of the broader efficiency agenda were central factors shaping referral. (C) 2004 Elsevier Ltd. All rights reserved.
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In large epidemiological studies missing data can be a problem, especially if information is sought on a sensitive topic or when a composite measure is calculated from several variables each affected by missing values. Multiple imputation is the method of choice for 'filling in' missing data based on associations among variables. Using an example about body mass index from the Australian Longitudinal Study on Women's Health, we identify a subset of variables that are particularly useful for imputing values for the target variables. Then we illustrate two uses of multiple imputation. The first is to examine and correct for bias when data are not missing completely at random. The second is to impute missing values for an important covariate; in this case omission from the imputation process of variables to be used in the analysis may introduce bias. We conclude with several recommendations for handling issues of missing data. Copyright (C) 2004 John Wiley Sons, Ltd.