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## Details

Genre/Form: | Electronic books |
---|---|

Additional Physical Format: | Print version: Rees, D.G. Essential Statistics for Medical Practice. Milton : CRC Press, ©2018 |

Material Type: | Document, Internet resource |

Document Type: | Internet Resource, Computer File |

All Authors / Contributors: |
D G Rees |

ISBN: | 9781351080354 1351080350 9781351071901 1351071904 |

OCLC Number: | 1020698076 |

Notes: | 13.2 Example from case study 5 |

Description: | 1 online resource (240 pages) |

Contents: | Cover; Title Page; Copyright Page; Dedication; Contents; Preface; Acknowledgements; Overview of the use of basic statistical methods in medical studies; Part One: Discussion of Case Studies; 1 Preliminary trial of the effect of general practice based nutritional advice; 1.1 Discussion; 2 Randomized controlled trial of anti-smoking advice by nurses in general practice; 2.1 Discussion; 3 Psychological distress: outcome and consultation rates in one general practice; 3.1 Discussion 4 Use of regression analysis to explain the variation in prescribing rates and costs between family practitioner committees4.1 Discussion; 5 Hidden psychiatric illness: use of the general health questionnaire in general practice; 5.1 Discussion; 6 A randomized controlled trial of surgery for glue ear; 6.1 Discussion; Part Two: Statistical Methods; 7 Data, tables, graphs, summary statistics and probability; 7.1 Data; 7.2 Tables and graphs; 7.3 Summary statistics for numerical variables; 7.4 Summary statistics for non-numerical variables; 7.5 Probability 8 Hypothesis tests and confidence intervals for means8.1 Introduction; 8.2 Confidence interval for a population mean (large samples); 8.3 Interpretation of a confidence interval; 8.4 Confidence interval for a population mean (small samples); 8.5 Hypothesis test for a population mean (small or large samples); 8.6 The confidence interval and hypothesis test approaches compared; 8.7 Confidence interval and hypothesis test for comparing two means (paired t-test); 8.8 Confidence interval and hypothesis test for comparing two means (unpaired t-test); 8.9 Practical and statistical significance 8.10 What if the assumptions of the methods in this chapter are not valid?9 More on comparing means, the analysis of variance and the F-test; 9.1 Introduction; 9.2 Why not carry out t-tests to compare the means in pairs?; 9.3 A numerical example of one-way ANOVA; 9.4 A posterior test after ANOVA; 9.5 The F-test to compare two variances; 10 Hypothesis tests and confidence intervals for percentages; 10.1 Introduction; 10.2 Confidence interval for a percentage; 10.3 Hypothesis test for a percentage; 10.4 Confidence interval for the difference between two percentages 10.5 Hypothesis test for the difference between two percentages11 Further tests for percentages; 11.1 The Fisher exact test; 11.2 Ï#x87;[Sup(2)] (chi-square) trend test; 12 Regression and correlation; 12.1 Introduction; 12.2 Simple linear regression; 12.3 Correlation coefficient; 12.4 ANOVA applied to simple linear regression analysis; 12.5 How useful is the regression equation?; 12.6 Introduction to multiple regression analysis; 12.7 How good is our predicted value of y in simple linear regression analysis?; 12.8 Correlation, further discussion; 13 Sensitivity and specificity; 13.1 Definitions |

### Abstract:

A firm understanding of the basic statistical methods used in current medical literature is now essential for medical practice, as research papers have become increasingly statistical in nature. This book has a unique, case-study approach, starting with six actual research papers showing which statistical methods were used and how the results were obtained. It will enable the medical professional to understand the methods in an easy and accessible way.

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