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Record Nr. |
UNINA9910777735003321 |
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Autore |
Haynes R. Brian |
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Titolo |
Clinical epidemiology : how to do clinical practice research / / R. Brian Haynes [and three others] |
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Pubbl/distr/stampa |
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Philadelphia : , : Lippincott Williams & Wilkins, , [2006] |
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©2006 |
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ISBN |
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1-4511-1861-9 |
1-4698-7434-2 |
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Edizione |
[Third edition.] |
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Descrizione fisica |
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1 online resource (512 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Clinical epidemiology |
Medicine - Research - Epidemiology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Forming research questions -- Conducting systematic reviews -- Finding information about the burden of disease -- An introduction to performing therapeutic trials -- The tactics of performing therapeutic trials -- The principles behind the tactics of performing therapeutic trials -- Performing quality improvement studies -- Evaluating diagnostic tests -- Determining prognosis and creating clinical decision rules -- Assessing claims of causation -- Generating measurements, especially for the quality of life -- Becoming a successful clinician-investigator -- Preparing a research protocol to improve its chances for success -- Collecting data online -- Analyzing data -- Preparing reports for publication and responding to reviewers' comments -- Dealing with the media. |
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Sommario/riassunto |
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The Third Edition of this popular text focuses on clinical-practice research methods. It is written by clinicians with experience in generating and answering researchable questions about real-world clinical practice and health care-the prevention, treatment, diagnosis, prognosis, and causes of diseases, the measurement of quality of life, and the effects of innovations in health services. The book has a problem-oriented and protocol-based approach and is written at an introductory level, emphasizing key principles and their applications. A |
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