Medical statistics at a glance / Aviva Petrie, Caroline Sabin.

By: Petrie, AvivaContributor(s): Sabin, CarolineMaterial type: TextTextLanguage: ENG Series: At a glance series (Oxford, England)Publication details: Chichester, UK ; Wiley-Blackwell, 2009Edition: 3rd edDescription: 180 pages : illustrations ; 28 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781405180511Subject(s): Medical statistics | Statistics as Topic | Research DesignDDC classification: 610.727 LOC classification: R853.S7 | P476 2009
Contents:
Handling data. 1. Types of data. 2. Data entry. 3. Error checking and outliers. 4. Displaying data graphically. 5. Describing data (1) -- the 'average'.6. Describing data (2) -- the 'spread'.7. Theoretical distributions (1) -- the Normal distribution. 8. Theoretical distributions (2) -- other distributions. 9. Transformations. Sampling and estimation. 10. Sampling and sampling distributions. 11. Confidence Intervals. Study design. 12. Study design I.13. Study design II. 14. Clinical trials. 15. Cohort studies I.16. Cohort studies II [new chapter to expand on Cohort studies].17. Case-control studies. Hypothesis testing. 18. Hypothesis testing. 19. Errors in hypothesis testing. Basic techniques for analysing data. Numerical data. 20. A single group. 21. Two related groups. 22. Two unrelated groups. 23. More than two groups. Categorical data. 24. A single proportion. 25. Two proportions. 26. More than two categories. Regression and correlation. 27. Correlation. 28. The theory of linear regression. 29. Performing a linear regression analysis. 30. Multiple linear regression analysis. 31. Binary outcomes and logistic regression. 32. Rates and Poisson regression. 33. Generalized linear models. 34. Explanatory variables in statistical models. 35. Issues in statistical modelling. Important considerations. 36. Checking assumptions. 37. Sample size calculations. 38. Presenting results. 39. Conducting and publishing research [new chapter]. Additional topics. 40. Diagnostic tools. 41. Assessing agreement. 42. Issues and bias [new chapter to expand on Assessing agreement].43. Evidence-based medicine. 44. Methods for clustered data. 45. Regression methods clustered data. 46. Systematic reviews and meta-analysis. 47. Survival analysis. 48. Bayesian methods. Appendices .A. Statistical tables. B. Altman's nomogram for sample .size calculations. C. Typical computer output. D. Glossary
Summary: "Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures. Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical .and pharmaceutical disciplines."--Jacket
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Includes bibliographical references and index.

Handling data. 1. Types of data. 2. Data entry. 3. Error checking and outliers. 4. Displaying data graphically. 5. Describing data (1) -- the 'average'.6. Describing data (2) -- the 'spread'.7. Theoretical distributions (1) -- the Normal distribution. 8. Theoretical distributions (2) -- other distributions. 9. Transformations. Sampling and estimation. 10. Sampling and sampling distributions. 11. Confidence Intervals. Study design. 12. Study design I.13. Study design II. 14. Clinical trials. 15. Cohort studies I.16. Cohort studies II [new chapter to expand on Cohort studies].17. Case-control studies. Hypothesis testing. 18. Hypothesis testing. 19. Errors in hypothesis testing. Basic techniques for analysing data. Numerical data. 20. A single group. 21. Two related groups. 22. Two unrelated groups. 23. More than two groups. Categorical data. 24. A single proportion. 25. Two proportions. 26. More than two categories. Regression and correlation. 27. Correlation. 28. The theory of linear regression. 29. Performing a linear regression analysis. 30. Multiple linear regression analysis. 31. Binary outcomes and logistic regression. 32. Rates and Poisson regression. 33. Generalized linear models. 34. Explanatory variables in statistical models. 35. Issues in statistical modelling. Important considerations. 36. Checking assumptions. 37. Sample size calculations. 38. Presenting results. 39. Conducting and publishing research [new chapter]. Additional topics. 40. Diagnostic tools. 41. Assessing agreement. 42. Issues and bias [new chapter to expand on Assessing agreement].43. Evidence-based medicine. 44. Methods for clustered data. 45. Regression methods clustered data. 46. Systematic reviews and meta-analysis. 47. Survival analysis. 48. Bayesian methods. Appendices .A. Statistical tables. B. Altman's nomogram for sample
.size calculations. C. Typical computer output. D. Glossary

"Medical Statistics at a Glance is a concise and accessible introduction and revision aid for this complex subject. The self-contained chapters explain the underlying concepts of medical statistics and provide a guide to the most commonly used statistical procedures. Medical Statistics at a Glance will appeal to all medical students, junior doctors and researchers in biomedical
.and pharmaceutical disciplines."--Jacket

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