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010			_a 2024002756
020			_a9780367553234 (hbk)
020			_a9780367553425 _q(pbk)
040			_aDLC _beng _erda _cJKRC
082	0	0	_a512.6202855133 _223 _bBIL.C
100	1		_aBilder, Christopher R. _eAuthor _934327
245	1	0	_aAnalysis of categorical data with R / _cby Christopher R. Bilder and Thomas M. Loughin. _hEnglish.
250			_a2nd.
260			_aBoca Raton : _bCRC Press, _c2025.
263			_a2409
300			_axvii, 687 p. _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
365			_b81.99 _cPound
490	0		_aCRC textbooks in statistical science
504			_aIncludes bibliographical references and index.
520			_a"Analysis of Categorical Data with R, Second Edition presents a modern account of categorical data analysis using the R software environment. It covers recent techniques of model building and assessment for binary, multicategory, and count response variables and discusses fundamentals, such as odds ratio and probability estimation. The authors give detailed advice and guidelines on which procedures to use and why to use them. The second edition is a substantial update of the first based on the authors' experience of teaching from the book for nearly a decade. The book is organized as before, but with new content throughout, and there are two new substantive topics in the advanced topics chapter - group testing and splines. The computing has been completely updated, with the emmeans package now integrated into the book. The examples have also been updated, notably to include new examples based on COVID-19, and there are more than 90 new exercises in the book. The solutions manual and teaching videos have also been updated. Features: Requires no prior experience with R, and offers an introduction to the essential features and functions of R Numerous examples from medicine, psychology, sports, ecology, and many other areas Extensive integrated R code and output Many graphical demonstrations of the features and properties of various analysis methods Substantial number of exercises in all chapters, enabling use as a course text or for self-study Supplemented by a website with datasets, code, and teaching videos Analysis of Categorical Data with R, Second Edition is primarily designed for a course on categorical data analysis taught at the advanced undergraduate or graduate level. Such a course could be taught in a statistics or biostatistics department, or within mathematics, psychology, social science, ecology, or another quantitative discipline. It could also be used by a self-learner, and would make an ideal reference for a researcher from any discipline where categorical data arise"-- _cProvided by publisher.
650		0	_aCategories (Mathematics) _xData processing. _934328
650		0	_aR (Computer program language)
650		7	_aMATHEMATICS / Probability & Statistics / General. _2bisacsh _934329
700	1		_aLoughin, Thomas M. _eAuthor _934330
776	0	8	_iOnline version: _aBilder, Christopher R. _tAnalysis of categorical data with R _bSecond edition. _dBoca Raton : CRC Press, 2025 _z9781003093091 _w(DLC) 2024002757
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _c1 _e23 _n0
999			_c430458 _d430458