000 | 02233nam a22002057a 4500 | ||
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999 |
_c4292 _d4292 |
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005 | 20221209125009.0 | ||
008 | 221209b ||||| |||| 00| 0 eng d | ||
020 | _a9781032114941 | ||
082 |
_a610.7 _bSMI |
||
100 |
_aSmith, David J. _99488 |
||
245 |
_aBasic statistical techniques for medical and other professionals: _ba course in statistics to assist in interpreting numerical data |
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260 |
_bRoutledge _aNew York _c2022 |
||
300 | _a116 p. | ||
365 |
_aGBP _b34.99 |
||
504 | _aTable of Contents Foreword. Preface. Acknowledgements. About the Author. Introduction. 1 Why One Needs Statistical Techniques. 2 Probability and Its Rules. 3 Dealing with Variables. 4 Comparing Variables. 5 Presenting Data and Establishing Trends. 6 Dealing with Attributes. 7 Testing for Significance (Attributes). 8 Correlation and Regression. 9 Handling Numbers (Large and Small). 10 An Introduction to Risk. 11 A Final Word. Appendices. Index. | ||
520 | _aBook Description We are bombarded with statistical data each and every day, and healthcare professionals are no exception. All sectors of healthcare rely on data provided by insurance companies, consultants, research firms, and government to help them make a host of decisions regarding the delivery of medical services. But while these health professionals rely on data, do they really make the best use of the information? Not if they fail to understand whether the assumptions behind the formulas generating the numbers make sense. Not if they don’t understand that the world of healthcare is flooded with inaccurate, misleading, and even dangerous statistics. The purpose of this book is to provide members of medical and other professions, including scientists and engineers, with a basic understanding of statistics and probability together with an explanation and worked examples of the techniques. It does not seek to confuse the reader with in-depth mathematics but provides basic methods for interpreting data and making inferences. The worked examples are medically based, but the principles apply to the analysis of any numerical data. | ||
650 |
_aMedical Statistics _910778 |
||
650 |
_aMedicine - Research - Statistical Methods _910779 |
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942 |
_2ddc _cBK |