000			02123nam a22003017a 4500
001			sulb-eb0015196
003			BD-SySUS
005			20160405134116.0
008			110607s2014||||enk o ||1 0|eng|d
020			_a9781139094757 (ebook)
020			_z9781107019560 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP _dBD-SySUS.
050	0	0	_aRA652 _b.K46 2014
082	0	0	_a614.4 _223
100	1		_aKeogh, Ruth H., _eauthor.
245	1	0	_aCase-Control Studies / _cRuth H. Keogh, D. R. Cox.
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (293 pages) : _bdigital, PDF file(s).
490	0		_aInstitute of Mathematical Statistics Monographs ; _v4
500			_aTitle from publisher's bibliographic system (viewed on 04 Apr 2016).
520			_aThe case-control approach is a powerful method for investigating factors that may explain a particular event. It is extensively used in epidemiology to study disease incidence, one of the best-known examples being Bradford Hill and Doll's investigation of the possible connection between cigarette smoking and lung cancer. More recently, case-control studies have been increasingly used in other fields, including sociology and econometrics. With a particular focus on statistical analysis, this book is ideal for applied and theoretical statisticians wanting an up-to-date introduction to the field. It covers the fundamentals of case-control study design and analysis as well as more recent developments, including two-stage studies, case-only studies and methods for case-control sampling in time. The latter have important applications in large prospective cohorts which require case-control sampling designs to make efficient use of resources. More theoretical background is provided in an appendix for those new to the field.
650		0	_aEpidemiologic Methods
700	1		_aCox, D. R., _eauthor.
776	0	8	_iPrint version: _z9781107019560
830		0	_aInstitute of Mathematical Statistics Monographs ; _v4.
856	4	0	_uhttp://dx.doi.org/10.1017/CBO9781139094757
942			_2Dewey Decimal Classification _ceBooks
999			_c37040 _d37040