000			03372nam a22004815i 4500
001			978-3-642-10748-1
003			DE-He213
005			20140220084529.0
007			cr nn 008mamaa
008			100301s2010 gw | s |||| 0|eng d
020			_a9783642107481 _9978-3-642-10748-1
024	7		_a10.1007/978-3-642-10748-1 _2doi
050		4	_aQA276-280
072		7	_aPBT _2bicssc
072		7	_aMBNS _2bicssc
072		7	_aMED090000 _2bisacsh
082	0	4	_a519.5 _223
100	1		_aBarnett, Adrian G. _eauthor.
245	1	0	_aAnalysing Seasonal Health Data _h[electronic resource] / _cby Adrian G. Barnett, Annette J. Dobson.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_aXIII, 164p. 112 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aStatistics for Biology and Health, _x1431-8776
505	0		_ato Seasonality -- Cosinor -- Decomposing Time Series -- Controlling for Season -- Clustered Seasonal Data.
520			_aSeasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing the intensity of seasonal weather patterns around the world, a review of the methods for estimating seasonal effects on health is timely. This is the first book on statistical methods for seasonal data written for a health audience. It describes methods for a range of outcomes (including continuous, count and binomial data) and demonstrates appropriate techniques for summarising and modelling these data. It has a practical focus and uses interesting examples to motivate and illustrate the methods. The statistical procedures and example data sets are available in an R package called ‘season’. Adrian Barnett is a senior research fellow at Queensland University of Technology, Australia. Annette Dobson is a Professor of Biostatistics at The University of Queensland, Australia. Both are experienced medical statisticians with a commitment to statistical education and have previously collaborated in research in the methodological developments and applications of biostatistics, especially to time series data. Among other projects, they worked together on revising the well-known textbook "An Introduction to Generalized Linear Models," third edition, Chapman Hall/CRC, 2008. In their new book they share their knowledge of statistical methods for examining seasonal patterns in health.
650		0	_aStatistics.
650		0	_aEnvironmental Medicine.
650	1	4	_aStatistics.
650	2	4	_aStatistics for Life Sciences, Medicine, Health Sciences.
650	2	4	_aStatistics, general.
650	2	4	_aEnvironmental Health.
700	1		_aDobson, Annette J. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642107474
830		0	_aStatistics for Biology and Health, _x1431-8776
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-10748-1
912			_aZDB-2-SMA
999			_c111779 _d111779