Interpretation and uses of medical statistics [[electronic resource] /] / Leslie E. Daly, Geoffrey J. Bourke |
Autore | Daly Leslie E |
Edizione | [5th ed.] |
Pubbl/distr/stampa | Oxford ; ; Malden, Mass., : Blackwell Science, 2000 |
Descrizione fisica | 1 online resource (586 p.) |
Disciplina |
519.502461
610.21 |
Altri autori (Persone) |
BourkeGeoffrey J (Geoffrey Joseph)
BourkeGeoffrey J (Geoffrey Joseph) |
Soggetto topico |
Medical statistics
Medicine - Research - Methodology |
ISBN |
0-470-69525-0
1-282-34171-5 9786612341717 0-470-69675-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Interpretation and Uses of Medical Statistics; Contents; Preface; Structure of the Book; 1 Describing Data -A Single Variable; 1.1 Introduction; 1.2 Types of data; 1.3 Qualitative data -simple tables and bar charts; 1.4 Picturing quantitative data; 1.5 Shapes of distributions; 1.6 Measures of central value; 1.7 Other measures of location -quantiles; 1.8 Measures of dispersion; 1.9 Summary; 2 Probability, Populations and Samples; 2.1 Introduction; 2.2 Probability; 2.3 Populations and samples; 2.4 Sample surveys; 2.5 Summary; 3 Associations: Chance, Confounded or Causal?; 3.1 Introduction
3.2 Examining associations3.3 Interpreting associations; 3.4 Associations due to chance; 3.5 Associations due to bias or confounding; 3.6 Causal associations; 3.7 Summary; 4 Confidence Intervals: General Principles; Proportions, Means, Medians, Counts and Rates; 4.1 Introduction; 4.2 The normal distribution; 4.3 Sampling variation - proportions; 4.4 Confidence intervals for a proportion; 4.5 Sampling variation - means; 4.6 Confidence intervals for a mean; 4.7 Confidence intervals for a geometric mean [!]; 4.8 Confidence intervals for a median [!] 4.9 Confidence intervals for a count or rate [!]4.10 Summary; 5 Hypothesis Testing: General Principles and One-sample Tests for Means, Proportions, Counts and Rates; 5.1 Introduction; 5.2 The null and alternative hypotheses; 5.3 The significance test; 5.4 Relationship with confidence intervals; 5.5 One-sided and two-sided tests; 5.6 General structure of a significance test: the one sample z test for a mean; 5.7 Non-significant results and power: type I errors, type II errors and sample size; 5.8 The one-sample t test for a mean; 5.9 The one-sample z test for a proportion 5.10 The one-sample x2 test for many proportions [!]5.11 The one-sample z test for counts or rates; 5.12 Small sample sizes and the validity of assumptions [!]; 5.13 Summary; 6 Epidemiological and Clinical Research Methods; 6.1 Introduction; 6.2 Observational and experimental studies; 6.3 The cross-sectional study or survey; 6.4 The cohort study; 6.5 Measures of association in cohort studies; 6.6 Risk with variable-time follow-up [!]; 6.7 The case-control study; 6.8 Measures of association in case-control studies - the odds ratio; 6.9 The analysis of cohort and case-control studies [!] 6.10 Comparisons of cohort and case-control studies6.11 The randomized controlled trial; 6.12 Applicability versus validity of trial results; 6.13 Alternative trial designs; 6.14 Ethical considerations for trials; 6.15 Summary; 7 Confidence Intervals and Hypothesis Tests: Two-group Comparisons; 7.1 Introduction; 7.2 Independent and paired comparisons; 7.3 Parametric and non-parametric significance tests; 7.4 Comparison of two independent means; 7.5 Inferring significance from confidence intervals; 7.6 Comparison of two independent geometric means [!]; 7.7 Comparison of two independent medians 7.8 Comparison of paired means |
Record Nr. | UNINA-9910830688603321 |
Daly Leslie E
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||
Oxford ; ; Malden, Mass., : Blackwell Science, 2000 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Interpretation and uses of medical statistics [[electronic resource] /] / Leslie E. Daly, Geoffrey J. Bourke |
Autore | Daly Leslie E |
Edizione | [5th ed.] |
Pubbl/distr/stampa | Oxford ; ; Malden, Mass., : Blackwell Science, 2000 |
Descrizione fisica | 1 online resource (586 p.) |
Disciplina |
519.502461
610.21 |
Altri autori (Persone) |
BourkeGeoffrey J (Geoffrey Joseph)
BourkeGeoffrey J (Geoffrey Joseph) |
Soggetto topico |
Medical statistics
Medicine - Research - Methodology |
ISBN |
0-470-69525-0
1-282-34171-5 9786612341717 0-470-69675-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Interpretation and Uses of Medical Statistics; Contents; Preface; Structure of the Book; 1 Describing Data -A Single Variable; 1.1 Introduction; 1.2 Types of data; 1.3 Qualitative data -simple tables and bar charts; 1.4 Picturing quantitative data; 1.5 Shapes of distributions; 1.6 Measures of central value; 1.7 Other measures of location -quantiles; 1.8 Measures of dispersion; 1.9 Summary; 2 Probability, Populations and Samples; 2.1 Introduction; 2.2 Probability; 2.3 Populations and samples; 2.4 Sample surveys; 2.5 Summary; 3 Associations: Chance, Confounded or Causal?; 3.1 Introduction
3.2 Examining associations3.3 Interpreting associations; 3.4 Associations due to chance; 3.5 Associations due to bias or confounding; 3.6 Causal associations; 3.7 Summary; 4 Confidence Intervals: General Principles; Proportions, Means, Medians, Counts and Rates; 4.1 Introduction; 4.2 The normal distribution; 4.3 Sampling variation - proportions; 4.4 Confidence intervals for a proportion; 4.5 Sampling variation - means; 4.6 Confidence intervals for a mean; 4.7 Confidence intervals for a geometric mean [!]; 4.8 Confidence intervals for a median [!] 4.9 Confidence intervals for a count or rate [!]4.10 Summary; 5 Hypothesis Testing: General Principles and One-sample Tests for Means, Proportions, Counts and Rates; 5.1 Introduction; 5.2 The null and alternative hypotheses; 5.3 The significance test; 5.4 Relationship with confidence intervals; 5.5 One-sided and two-sided tests; 5.6 General structure of a significance test: the one sample z test for a mean; 5.7 Non-significant results and power: type I errors, type II errors and sample size; 5.8 The one-sample t test for a mean; 5.9 The one-sample z test for a proportion 5.10 The one-sample x2 test for many proportions [!]5.11 The one-sample z test for counts or rates; 5.12 Small sample sizes and the validity of assumptions [!]; 5.13 Summary; 6 Epidemiological and Clinical Research Methods; 6.1 Introduction; 6.2 Observational and experimental studies; 6.3 The cross-sectional study or survey; 6.4 The cohort study; 6.5 Measures of association in cohort studies; 6.6 Risk with variable-time follow-up [!]; 6.7 The case-control study; 6.8 Measures of association in case-control studies - the odds ratio; 6.9 The analysis of cohort and case-control studies [!] 6.10 Comparisons of cohort and case-control studies6.11 The randomized controlled trial; 6.12 Applicability versus validity of trial results; 6.13 Alternative trial designs; 6.14 Ethical considerations for trials; 6.15 Summary; 7 Confidence Intervals and Hypothesis Tests: Two-group Comparisons; 7.1 Introduction; 7.2 Independent and paired comparisons; 7.3 Parametric and non-parametric significance tests; 7.4 Comparison of two independent means; 7.5 Inferring significance from confidence intervals; 7.6 Comparison of two independent geometric means [!]; 7.7 Comparison of two independent medians 7.8 Comparison of paired means |
Record Nr. | UNINA-9910841060103321 |
Daly Leslie E
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Oxford ; ; Malden, Mass., : Blackwell Science, 2000 | ||
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Lo trovi qui: Univ. Federico II | ||
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Interpreting biomedical science : experiment, evidence, and belief / / Ülo Maiväli |
Autore | Maiväli Ülo |
Pubbl/distr/stampa | London, England ; ; San Diego, California : , : Academic Press, an imprint of Elsevier, , 2015 |
Descrizione fisica | 1 online resource (416 p.) |
Disciplina | 610.72 |
Soggetto topico |
Medicine - Research - Methodology
Medical sciences - Research |
ISBN | 0-12-419956-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Interpreting Biomedical Science: Experiment, Evidence, and Belief; Copyright Page; Contents; Preface; Acknowledgments; Introduction; Science Made Easy; Did the Greeks Get their Math Right but their Science Wrong?; The Scientific Revolution; Deduction and Induction as Two Approaches to Scientific Inference; References; I. What Is at Stake: The Skeptical Argument; 1 Do We Need a Science of Science?; 1.1 Are We Living in the Golden Age of Science?; 1.2 R&D and the Cost of Medicine; 1.3 The Efficiency of Drug Discovery; 1.4 Factors that Endanger the Quality of Medical Evidence
1.5 The Stability of Evidence-Based Medical Practices1.6 Reproducibility of Basic Biomedical Science; 1.6.1 Genome-Wide Association Studies; 1.6.2 Microarray Studies; 1.6.3 Proteomics; 1.6.4 Small Science; 1.7 Is Reproducibility a Good Criterion of Quality of Research?; 1.8 Is Biomedical Science Self-Correcting?; 1.9 Do We Need a Science of Science?; References; 2 The Basis of Knowledge: Causality and Truth; 2.1 Scientific Realism and Truth; 2.2 Hume's Gambit; 2.3 Kant's Solution; 2.4 Why Induction Is Poor Deduction; 2.5 Popper's Solution; 2.6 Why Deduction Is Poor Induction 2.7 Does Lung Cancer Cause Smoking?2.8 Correlation, Concordance, and Regression; 2.8.1 Correlation; 2.8.2 Concordance; 2.8.3 Regression; 2.9 From Correlation to Causation; 2.10 From Experiment to Causation; 2.11 Is Causality a Scientific Concept?; References; II. The Method; 3 Study Design; 3.1 Why Do Experiments?; 3.2 Population and Sample; 3.3 Regression to the Mean; 3.4 Why Repeat an Experiment?; 3.5 Technical Versus Biological Replication of Experiments; 3.6 Experimental Controls; 3.6.1 Example 1. Negative Controls; 3.6.2 Example 2. Normalization Controls 3.6.3 Example 3. Controlling the Controls3.7 Multiplicities; 3.8 Conclusion: How to Design an Experiment; References; 4 Data and Evidence; 4.1 Looking at Data; 4.2 Modeling Data; 4.3 What Is Probability?; 4.3.1 Bayesian Probability; 4.3.2 Frequentist Probability; 4.3.3 Propensity Theory of Probability; 4.4 Assumptions Behind Frequentist Statistical Tests; 4.5 The Null Hypothesis; 4.6 The P value; 4.6.1 What the P Value Is Not; 4.7 Neyman-Pearson Hypothesis Testing; 4.8 Multiple Testing in the Context of NPHT; 4.9 P Value as a Measure of Evidence; 4.10 The "Error Bars" 4.11 Likelihood as an Unbiased Measure of Evidence4.12 Conclusion: Ideologies Behind Some Methods of Statistical Inference; References; 5 Truth and Belief; 5.1 From Long-Run Error Probabilities to Degrees of Belief; 5.2 Bayes Theorem: What Makes a Rational Being?; 5.3 Testing in the Infinite Hypothesis Space: Bayesian Parameter Estimation; 5.4 All Against All: Bayesianism Versus Frequentism Versus Likelihoodism; 5.5 Bayesianism as a Philosophy; 5.6 Bayesianism and the Progress of Science; 5.7 Conclusion to Part II; References; III. The Big Picture; 6 Interpretation 6.1 Hypothesis Testing at Small Samples |
Record Nr. | UNINA-9910797243303321 |
Maiväli Ülo
![]() |
||
London, England ; ; San Diego, California : , : Academic Press, an imprint of Elsevier, , 2015 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Interpreting biomedical science : experiment, evidence, and belief / / Ülo Maiväli |
Autore | Maiväli Ülo |
Pubbl/distr/stampa | London, England ; ; San Diego, California : , : Academic Press, an imprint of Elsevier, , 2015 |
Descrizione fisica | 1 online resource (416 p.) |
Disciplina | 610.72 |
Soggetto topico |
Medicine - Research - Methodology
Medical sciences - Research |
ISBN | 0-12-419956-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Interpreting Biomedical Science: Experiment, Evidence, and Belief; Copyright Page; Contents; Preface; Acknowledgments; Introduction; Science Made Easy; Did the Greeks Get their Math Right but their Science Wrong?; The Scientific Revolution; Deduction and Induction as Two Approaches to Scientific Inference; References; I. What Is at Stake: The Skeptical Argument; 1 Do We Need a Science of Science?; 1.1 Are We Living in the Golden Age of Science?; 1.2 R&D and the Cost of Medicine; 1.3 The Efficiency of Drug Discovery; 1.4 Factors that Endanger the Quality of Medical Evidence
1.5 The Stability of Evidence-Based Medical Practices1.6 Reproducibility of Basic Biomedical Science; 1.6.1 Genome-Wide Association Studies; 1.6.2 Microarray Studies; 1.6.3 Proteomics; 1.6.4 Small Science; 1.7 Is Reproducibility a Good Criterion of Quality of Research?; 1.8 Is Biomedical Science Self-Correcting?; 1.9 Do We Need a Science of Science?; References; 2 The Basis of Knowledge: Causality and Truth; 2.1 Scientific Realism and Truth; 2.2 Hume's Gambit; 2.3 Kant's Solution; 2.4 Why Induction Is Poor Deduction; 2.5 Popper's Solution; 2.6 Why Deduction Is Poor Induction 2.7 Does Lung Cancer Cause Smoking?2.8 Correlation, Concordance, and Regression; 2.8.1 Correlation; 2.8.2 Concordance; 2.8.3 Regression; 2.9 From Correlation to Causation; 2.10 From Experiment to Causation; 2.11 Is Causality a Scientific Concept?; References; II. The Method; 3 Study Design; 3.1 Why Do Experiments?; 3.2 Population and Sample; 3.3 Regression to the Mean; 3.4 Why Repeat an Experiment?; 3.5 Technical Versus Biological Replication of Experiments; 3.6 Experimental Controls; 3.6.1 Example 1. Negative Controls; 3.6.2 Example 2. Normalization Controls 3.6.3 Example 3. Controlling the Controls3.7 Multiplicities; 3.8 Conclusion: How to Design an Experiment; References; 4 Data and Evidence; 4.1 Looking at Data; 4.2 Modeling Data; 4.3 What Is Probability?; 4.3.1 Bayesian Probability; 4.3.2 Frequentist Probability; 4.3.3 Propensity Theory of Probability; 4.4 Assumptions Behind Frequentist Statistical Tests; 4.5 The Null Hypothesis; 4.6 The P value; 4.6.1 What the P Value Is Not; 4.7 Neyman-Pearson Hypothesis Testing; 4.8 Multiple Testing in the Context of NPHT; 4.9 P Value as a Measure of Evidence; 4.10 The "Error Bars" 4.11 Likelihood as an Unbiased Measure of Evidence4.12 Conclusion: Ideologies Behind Some Methods of Statistical Inference; References; 5 Truth and Belief; 5.1 From Long-Run Error Probabilities to Degrees of Belief; 5.2 Bayes Theorem: What Makes a Rational Being?; 5.3 Testing in the Infinite Hypothesis Space: Bayesian Parameter Estimation; 5.4 All Against All: Bayesianism Versus Frequentism Versus Likelihoodism; 5.5 Bayesianism as a Philosophy; 5.6 Bayesianism and the Progress of Science; 5.7 Conclusion to Part II; References; III. The Big Picture; 6 Interpretation 6.1 Hypothesis Testing at Small Samples |
Record Nr. | UNINA-9910822207303321 |
Maiväli Ülo
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||
London, England ; ; San Diego, California : , : Academic Press, an imprint of Elsevier, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Introduction to research methods and data analysis in the health sciences / Gareth Hagger-Johnson |
Autore | Hagger-Johnson, Gareth |
Pubbl/distr/stampa | London ; New York : Routledge, Taylor & Francis Group, 2014 |
Descrizione fisica | xviii, 309 p. : ill. ; 26 cm |
Disciplina | 610.72/4 |
Soggetto topico |
Biomedical Research - Methods
Data Interpretation, Statistical Research Design Medicine - Research - Methodology |
ISBN | 9780273763840 (pbk.) |
Classificazione |
LC R850
617.7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISALENTO-991002814979707536 |
Hagger-Johnson, Gareth
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London ; New York : Routledge, Taylor & Francis Group, 2014 | ||
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Lo trovi qui: Univ. del Salento | ||
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Narrative research in health and illness [[electronic resource] /] / edited by Brian Hurwitz, Trisha Greenhalgh, Vieda Skultans |
Pubbl/distr/stampa | Malden, Mass. ; ; Oxford, : Blackwell, 2004 |
Descrizione fisica | 1 online resource (458 p.) |
Disciplina | 610.69/6 |
Altri autori (Persone) |
HurwitzBrian
SkultansVieda GreenhalghTrisha |
Soggetto topico |
Physician and patient
Narration (Rhetoric) Discourse analysis, Narrative Medicine - Research - Methodology |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-19741-2
9786610197415 0-470-79105-5 0-470-75516-4 1-4051-4619-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Narrative Research in Health and Illness; Contents; Contributors; Introduction; Section 1: Narratives; 1. The ethicality of narrative medicine; 2. Soldiers become casualties: doctors' accounts of the SARS epidemic; 3. Poems from the heart: living with heart failure; 4. Performance narratives in the clinical world; 5. "I cut because it helps": narratives of self-injury in teenage girls; 6. The DIPEx project: collecting personal experiences of illness and health care; 7. Narratives of spirituality and religion in end-of-life care; 8. The death of the narrator
9. Narrative, emotion, and understanding10. The voice of experience and the voice of the expert - can they speak to each other?; Section 2: Counter-narratives; 11. Wounded or warrior? Stories of being or becoming deaf; 12. Narrative analysis and contested allegations of Munchausen syndrome by proxy; 13. Confounding the experts: the vindication of parental testimony in shaken baby syndrome; 14. Narratives of compound loss: parents' stories from the organ retention scandal; 15. The power of stories over statistics: lessons from neonatal jaundice and infant airplane safety Section 3: Meta-narratives16. Narratives of health inequality: interpreting the determinants of health; 17. Narratives of displacement and identity; 18. A thrice-told tale: new readings of an old story; 19. The role of stories and storytelling in organisational change efforts: a field study of an emerging "community of practice" within the UK National Health Service; 20. Meta-narrative mapping: a new approach to the systematic review of complex evidence; 21. How narratives work in psychiatric science: an example from the biological psychiatry of PTSD 22. Storying policy: constructions of risk in proposals to reform UK mental health legislation23. The temporal construction of medical narratives; Index |
Record Nr. | UNINA-9910143266703321 |
Malden, Mass. ; ; Oxford, : Blackwell, 2004 | ||
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Lo trovi qui: Univ. Federico II | ||
|
Narrative research in health and illness [[electronic resource] /] / edited by Brian Hurwitz, Trisha Greenhalgh, Vieda Skultans |
Pubbl/distr/stampa | Malden, Mass. ; ; Oxford, : Blackwell, 2004 |
Descrizione fisica | 1 online resource (458 p.) |
Disciplina | 610.69/6 |
Altri autori (Persone) |
HurwitzBrian
SkultansVieda GreenhalghTrisha |
Soggetto topico |
Physician and patient
Narration (Rhetoric) Discourse analysis, Narrative Medicine - Research - Methodology |
ISBN |
1-280-19741-2
9786610197415 0-470-79105-5 0-470-75516-4 1-4051-4619-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Narrative Research in Health and Illness; Contents; Contributors; Introduction; Section 1: Narratives; 1. The ethicality of narrative medicine; 2. Soldiers become casualties: doctors' accounts of the SARS epidemic; 3. Poems from the heart: living with heart failure; 4. Performance narratives in the clinical world; 5. "I cut because it helps": narratives of self-injury in teenage girls; 6. The DIPEx project: collecting personal experiences of illness and health care; 7. Narratives of spirituality and religion in end-of-life care; 8. The death of the narrator
9. Narrative, emotion, and understanding10. The voice of experience and the voice of the expert - can they speak to each other?; Section 2: Counter-narratives; 11. Wounded or warrior? Stories of being or becoming deaf; 12. Narrative analysis and contested allegations of Munchausen syndrome by proxy; 13. Confounding the experts: the vindication of parental testimony in shaken baby syndrome; 14. Narratives of compound loss: parents' stories from the organ retention scandal; 15. The power of stories over statistics: lessons from neonatal jaundice and infant airplane safety Section 3: Meta-narratives16. Narratives of health inequality: interpreting the determinants of health; 17. Narratives of displacement and identity; 18. A thrice-told tale: new readings of an old story; 19. The role of stories and storytelling in organisational change efforts: a field study of an emerging "community of practice" within the UK National Health Service; 20. Meta-narrative mapping: a new approach to the systematic review of complex evidence; 21. How narratives work in psychiatric science: an example from the biological psychiatry of PTSD 22. Storying policy: constructions of risk in proposals to reform UK mental health legislation23. The temporal construction of medical narratives; Index |
Record Nr. | UNISA-996211170003316 |
Malden, Mass. ; ; Oxford, : Blackwell, 2004 | ||
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Lo trovi qui: Univ. di Salerno | ||
|
Narrative research in health and illness [[electronic resource] /] / edited by Brian Hurwitz, Trisha Greenhalgh, Vieda Skultans |
Pubbl/distr/stampa | Malden, Mass. ; ; Oxford, : Blackwell, 2004 |
Descrizione fisica | 1 online resource (458 p.) |
Disciplina | 610.69/6 |
Altri autori (Persone) |
HurwitzBrian
SkultansVieda GreenhalghTrisha |
Soggetto topico |
Physician and patient
Narration (Rhetoric) Discourse analysis, Narrative Medicine - Research - Methodology |
ISBN |
1-280-19741-2
9786610197415 0-470-79105-5 0-470-75516-4 1-4051-4619-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Narrative Research in Health and Illness; Contents; Contributors; Introduction; Section 1: Narratives; 1. The ethicality of narrative medicine; 2. Soldiers become casualties: doctors' accounts of the SARS epidemic; 3. Poems from the heart: living with heart failure; 4. Performance narratives in the clinical world; 5. "I cut because it helps": narratives of self-injury in teenage girls; 6. The DIPEx project: collecting personal experiences of illness and health care; 7. Narratives of spirituality and religion in end-of-life care; 8. The death of the narrator
9. Narrative, emotion, and understanding10. The voice of experience and the voice of the expert - can they speak to each other?; Section 2: Counter-narratives; 11. Wounded or warrior? Stories of being or becoming deaf; 12. Narrative analysis and contested allegations of Munchausen syndrome by proxy; 13. Confounding the experts: the vindication of parental testimony in shaken baby syndrome; 14. Narratives of compound loss: parents' stories from the organ retention scandal; 15. The power of stories over statistics: lessons from neonatal jaundice and infant airplane safety Section 3: Meta-narratives16. Narratives of health inequality: interpreting the determinants of health; 17. Narratives of displacement and identity; 18. A thrice-told tale: new readings of an old story; 19. The role of stories and storytelling in organisational change efforts: a field study of an emerging "community of practice" within the UK National Health Service; 20. Meta-narrative mapping: a new approach to the systematic review of complex evidence; 21. How narratives work in psychiatric science: an example from the biological psychiatry of PTSD 22. Storying policy: constructions of risk in proposals to reform UK mental health legislation23. The temporal construction of medical narratives; Index |
Record Nr. | UNINA-9910677830703321 |
Malden, Mass. ; ; Oxford, : Blackwell, 2004 | ||
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Lo trovi qui: Univ. Federico II | ||
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Publishing your medical research / / Daniel W. Byrne |
Autore | Byrne Daniel W. |
Edizione | [Second edition.] |
Pubbl/distr/stampa | Philadelphia, [Pennsylvania] : , : Wolters Kluwer, , 2017 |
Descrizione fisica | 1 online resource (401 pages) : illustrations, tables |
Disciplina | 808.06661 |
Soggetto topico |
Medical writing
Medicine - Research - Methodology Medical Writing Publishing Biomedical Research |
Soggetto genere / forma | Electronic books. |
ISBN | 1-4963-5387-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910480149503321 |
Byrne Daniel W.
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Philadelphia, [Pennsylvania] : , : Wolters Kluwer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
|
Publishing your medical research / / Daniel W. Byrne |
Autore | Byrne Daniel W. |
Edizione | [Second edition.] |
Pubbl/distr/stampa | Philadelphia, [Pennsylvania] : , : Wolters Kluwer, , 2017 |
Descrizione fisica | 1 online resource (401 pages) : illustrations, tables |
Disciplina | 808.06661 |
Soggetto topico |
Medical writing
Medicine - Research - Methodology Medical Writing Publishing Biomedical Research |
ISBN | 1-4963-5387-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910798410903321 |
Byrne Daniel W.
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Philadelphia, [Pennsylvania] : , : Wolters Kluwer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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