MARC Record from marc_columbia

LEADER: 06081cam a2200733 i 4500
001 15275105
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035 $a(OCoLC)on1229166437
035 $a(NNC)15275105
040 $aTYFRS$beng$erda$epn$cTYFRS$dOCLCO$dUKMGB$dTYFRS$dYDXIT$dYDX$dOCLCQ$dOCLCO
015 $aGBC0G8139$2bnb
016 7 $a019991625$2Uk
020 $a9781315107875$q(electronic book)
020 $a1315107872$q(electronic book)
020 $a9781351608367$q(electronic book$qMobipocket)
020 $a1351608363$q(electronic book$qMobipocket)
020 $a9781351608381$q(electronic book$qelectronic book)
020 $a135160838X$q(electronic book$qelectronic book)
020 $a9781351608374$q(electronic book$qEPUB)
020 $a1351608371$q(electronic book$qEPUB)
020 $z9781138091795
020 $z1138091790
020 $z9781138091702
020 $z1138091707
024 7 $a10.1201/9781315107875$2doi
035 $a(OCoLC)1229166437
037 $a9781315107875$bTaylor & Francis
050 4 $aRA409$b.M35 2021
072 7 $aMED$x090000$2bisacsh
072 7 $aMED$x085000$2bisacsh
072 7 $aMAT$x029000$2bisacsh
072 7 $aMBNS$2bicssc
082 04 $a519.5024617$223
049 $aZCUA
100 1 $aMaltenfort, Mitchell G.,$eauthor.
245 10 $aStatistical reasoning for surgeons /$cMitchell G. Maltenfort, Camilo Restrepo, Antonia F. Chen.
250 $aFirst edition.
264 1 $aBoca Raton, FL :$bChapman & Hall/CRC,$c2021.
264 4 $c©2021
300 $a1 online resource :$billustrations (black and white)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
504 $aIncludes bibliographical references and index.
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.
545 0 $aMitchell Maltenfort lurched into academic life as a computational neurobiologist before drifting into the less recherché field of biostatistics. He knows just enough to make a complete hash out of things and is creative enough to salvage them afterwards. In his brutish culture, this tradition is known as "larnin'." For tax purposes, he is employed as a biostatistician at CHOP, where he has generated risk scores for hospitalization, analyzed diagnostic variations among clinics, compared international trends in childhood mortality, and evaluated patient-reported outcome scores. Antonia Chen is the Director of Research for Arthroplasty Services at Brigham and Women's Hospital and an Associate Professor at Harvard Medical School. She is a past president of the Musculoskeletal Infection Society (MSIS) and is an active collaborator in research studies on topics including infection outcomes and opioid use. She often travels armed with a small and extremely cute dog named Lily who is often the highlight of research meetings where Lily is in attendance. Camilo Restrepo is the Associate Director for Research at the Rothman Institute. He is known informally at RI as "Doctor Data."
505 0 $a1 Introduction -- Why Does a Surgeon Need Statistics? -- 2 Interpreting Probability: Medical School Axioms of Probability -- 3 Statistics, the Law of Large Numbers, and the Confidence Interval -- 4 The Basics of Statistical Tests -- 5 How Much Data Is Enough? -- 6 Showing the Data to Yourself First -- Graphs and Tables, Part 1 -- 7 How Normal Is a Gaussian Distribution? What to Do with Extreme Values? -- 8 All Probabilities Are Conditional -- 9 Quality versus Quantity in Data -- 10 Practical Examples -- 11 All Things Being Equal -- But How? (Designing the Study) -- 12 Binary and Count Outcomes -- 13 Repeated Measurements and Accounting for Change -- 14 What If the Data Is Not All There? -- 15 Showing the Data to Others -- Graphs and Tables, Part 2 -- 16 Further Reading -- GLOSSARY -- REFERENCES -- INDEX
588 0 $aOnline resource; title from digital title page (viewed on March 05, 2021).
650 0 $aMedical statistics.
650 0 $aSurgery$xStatistical methods.
650 6 $aChirurgie$xMéthodes statistiques.
650 7 $aMEDICAL$xBiostatistics.$2bisacsh
650 7 $aMEDICAL$xSurgery$xGeneral.$2bisacsh
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aMedical statistics.$2fast$0(OCoLC)fst01014672
655 4 $aElectronic books.
700 1 $aRestrepo, Camilo,$eauthor.
700 1 $aChen, Antonia,$eauthor.
776 08 $iPrint version:$aMaltenfort, Mitchell.$tStatistical reasoning for surgeons.$dBoca Raton : Chapman & Hall/CRC, 2020$z9781138091795$w(OCoLC)1222783172
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15275105$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS