000 02242nam a22003618i 4500
001 CR9781139165495
003 UkCbUP
005 20200124160304.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 111007s2005||||enk o ||1 0|eng|d
020 _a9781139165495 (ebook)
020 _z9780521854832 (hardback)
020 _z9780521671057 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aHA29
_b.F678 2005
082 0 0 _a300/.1/519536
_222
100 1 _aFreedman, David,
_d1938-2008,
_eauthor.
245 1 0 _aStatistical models :
_btheory and practice /
_cDavid A. Freedman.
264 1 _aCambridge :
_bCambridge University Press,
_c2005.
300 _a1 online resource (x, 414 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aThis lively and engaging textbook provides the knowledge required to read empirical papers in the social and health sciences, as well as the techniques needed to build statistical models. The author explains the basic ideas of association and regression, and describes the current models that link these ideas to causality. He focuses on applications of linear models, including generalized least squares and two-stage least squares. The bootstrap is developed as a technique for estimating bias and computing standard errors. Careful attention is paid to the principles of statistical inference. There is background material on study design, bivariate regression, and matrix algebra. To develop technique, there are computer labs, with sample computer programs. The book's discussion is organized around published studies, as are the numerous exercises - many of which have answers included. Relevant papers reprinted at the back of the book are thoroughly appraised by the author.
650 0 _aSocial sciences
_xStatistics
_xMethodology.
650 0 _aMedical statistics
_xMethodology.
650 0 _aRegression analysis.
650 0 _aStatistics
_xMethodology.
776 0 8 _iPrint version:
_z9780521854832
856 4 0 _uhttps://doi.org/10.1017/CBO9781139165495
999 _c520563
_d520561