000			04377cam a2200601Ki 4500
001			9781315107875
003			FlBoTFG
005			20220509193005.0
006			m o d
007			cr cnu---unuuu
008			210108s2021 flua ob 000 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781315107875 _q(electronic bk.)
020			_a1315107872 _q(electronic bk.)
020			_a9781351608367 _q(electronic bk. : Mobipocket)
020			_a1351608363 _q(electronic bk. : Mobipocket)
020			_a9781351608381 _q(electronic bk. : PDF)
020			_a135160838X _q(electronic bk. : PDF)
020			_a9781351608374 _q(electronic bk. : EPUB)
020			_a1351608371 _q(electronic bk. : EPUB)
020			_z9781138091795
020			_z1138091790
020			_z9781138091702
020			_z1138091707
024	7		_a10.1201/9781315107875 _2doi
035			_a(OCoLC)1229166437
035			_a(OCoLC-P)1229166437
050		4	_aRA409
072		7	_aMED _x090000 _2bisacsh
072		7	_aMED _x085000 _2bisacsh
072		7	_aMAT _x029000 _2bisacsh
072		7	_aMBNS _2bicssc
082	0	4	_a519.5024617 _223
100	1		_aMaltenfort, Mitchell G., _eauthor.
245	1	0	_aStatistical reasoning for surgeons / _cMitchell G. Maltenfort, Camilo Restrepo, Antonia F. Chen.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bChapman & Hall/CRC, _c2021.
300			_a1 online resource : _billustrations (black and white).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
520			_aTrying to read up on statistics can be like trying to decide where you want to start eating the elephant and what's the most digestible way to get it down. This book is written to give bite-size nuggets of insight based on our experiences grappling with datasets large and small. It is intended to bridge the gap between the formal equations and the practicalities of generating a research manuscript. We won't pretend reading it will answer all your questions but it will help explain what questions need to be asked for your study and how you can address them with both accuracy and clarity. The size, detail and (ostensible) organization of this book allow for easy reading and can give a leg (or at least a half-step) up for those seeking more detailed study later. Features include: Excel sheets to allow exploration of topics raised Emphasis on intuitive explanations over formulas. Consideration of issues specific to clinical and surgical studies Our audience is someone who may or may not have enjoyed formal statistics education (that is, you may have had it and not enjoyed it!) who may like seeing a more dressed-down presentation of the topics. Actual statisticians may pick this up at risk of a chuckle (with us or at us) and may find some useful ways to present topics to non-statisticians.
505	0		_a<P>1 Introduction -- Why Does a Surgeon Need Statistics? </P><P>2 Interpreting Probability: Medical School Axioms of Probability</P><P>3 Statistics, the Law of Large Numbers, and the Confidence Interval </P><P>4 The Basics of Statistical Tests </P><P>5 How Much Data Is Enough? </P><P>6 Showing the Data to Yourself First -- Graphs and Tables, Part 1 </P><P>7 How Normal Is a Gaussian Distribution? What to Do with Extreme Values? </P><P>8 All Probabilities Are Conditional</P><P>9 Quality versus Quantity in Data </P><P>10 Practical Examples </P><P>11 All Things Being Equal -- But How? (Designing the Study) </P><P>12 Binary and Count Outcomes </P><P>13 Repeated Measurements and Accounting for Change </P><P>14 What If the Data Is Not All There? </P><P>15 Showing the Data to Others -- Graphs and Tables, Part 2 </P><P>16 Further Reading</P><P>GLOSSARY</P><P>REFERENCES</P><P>INDEX</P>
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMedical statistics.
650		0	_aSurgery _xStatistical methods.
650		7	_aMEDICAL / Biostatistics _2bisacsh
650		7	_aMEDICAL / Surgery / General _2bisacsh
650		7	_aMATHEMATICS / Probability & Statistics / General _2bisacsh
700	1		_aRestrepo, Camilo, _eauthor.
700	1		_aChen, Antonia, _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781315107875
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c127827 _d127827