000			05413cam a2200505Mu 4500
001			9781003220138
003			FlBoTFG
005			20240213122833.0
006			m o d
007			cr cnu---unuuu
008			210904s2021 xx o ||| 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781000469561
020			_a1000469565
020			_a9781003220138 _q(electronic bk.)
020			_a1003220134 _q(electronic bk.)
020			_a9781000469585 _q(electronic bk. : EPUB)
020			_a1000469581 _q(electronic bk. : EPUB)
035			_a(OCoLC)1266906242
035			_a(OCoLC-P)1266906242
050		4	_aRA407
072		7	_aBUS _x070170 _2bisacsh
072		7	_aBUS _x019000 _2bisacsh
072		7	_aMED _x090000 _2bisacsh
072		7	_aV _2bicssc
082	0	4	_a610.727 _223
100	1		_aSmith, David J.
245	1	0	_aBasic Statistical Techniques for Medical and Other Professionals _h[electronic resource] : _bA Course in Statistics to Assist in Interpreting Numerical Data.
260			_aMilton : _bProductivity Press, _c2021.
300			_a1 online resource (137 p.)
500			_aDescription based upon print version of record.
505	0		_aIntro -- Half Title -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgements -- About the Author -- Introduction -- Chapter 1. Why One Needs Statistical Techniques -- Variables and Attributes -- Spread of a Variable -- Correlation -- Taking Samples -- Very Large and Very Small Numbers -- Chapter 2. Probability and Its Rules -- Empirical versus À Priori -- Combining Probabilities -- Mutually Exclusive Events -- Conditional Probabilities -- Given a Positive Test -- Given a Negative Test -- Comparison of the Two Outcomes -- Chapter 3. Dealing with Variables
505	8		_aMetrics -- The Mean -- The Standard Deviation (and Variance) -- Grouped Data -- A Range for Each Value -- Making Inferences from the Mean and Standard Deviation -- The Coefficient of Variation -- Other Measures of Central Tendency (Types of Average) -- Medians -- Geometric Mean -- Chapter 4. Comparing Variables -- Comparing the Standard Deviations -- Comparing the Means -- Double- and Single-Sided Inferences -- Chapter 5. Presenting Data and Establishing Trends -- Visual Presentation of Data -- Histograms -- Graphs -- Some Pitfalls -- Supression -- Extrapolation -- Logarithmic Scales
505	8		_aMoving Averages -- Control Charts -- Chapter 6. Dealing with Attributes -- Binomial -- Poisson -- Chapter 7. Testing for Significance (Attributes) -- Chapter 8. Correlation and Regression -- Relating Two Variables -- False Correlation -- Establishing a Normal Distribution -- Chapter 9. Handling Numbers (Large and Small) -- Big Numbers -- Small Numbers -- Multiplying and Dividing -- Some Examples -- Familiarity with Negative Exponents -- Chapter 10. An Introduction to Risk -- Individual Risk of Fatality (per Exposure to an Activity) -- Individual Risk of Fatality (per Annum)
505	8		_aFatal Accident Frequency (FAFR) -- Maximum Tolerable Risk -- As Low as Reasonably Practicable (ALARP) -- Variable versus Constant Rates -- Chapter 11. A Final Word -- Appendices. Appendices -- Appendix 1: Manipulating Numbers in Spreadsheets -- Arithmetic Functions -- Copy-Paste -- Copy-Paste Special -- Regression/Correlation -- Appendix 2: Brief Glossary of Terms -- Appendix 3: Normal Distribution Table -- Appendix 4a: 0.5% & 1% Points of the F Distribution -- Appendix 4b: 2.5% & 5% Points of the F Distribution -- Appendix 4c: 10% & 25% Points of the F Distribution
505	8		_aAppendix 5: The t Distribution -- Appendix 6: Cumulative Poisson Curves -- Appendix 7: Percentage Points of the Chi Squared Distribution -- Appendix 8: Answers to Exercises -- Appendix 9: Further Reading -- Index
520			_aWe 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.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMedical statistics.
650		0	_aMedicine _xResearch _xStatistical methods.
650		7	_aBUSINESS & ECONOMICS / Decision-Making & Problem Solving _2bisacsh
650		7	_aMEDICAL / Biostatistics _2bisacsh
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003220138
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c6091 _d6091