000 | 03031nam a22004217a 4500 | ||
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001 | sulb-eb0022109 | ||
003 | BD-SySUS | ||
005 | 20160413122223.0 | ||
007 | cr nn 008mamaa | ||
008 | 121026s2013 xxu| s |||| 0|eng d | ||
020 |
_a9781461448549 _9978-1-4614-4854-9 |
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024 | 7 |
_a10.1007/978-1-4614-4854-9 _2doi |
|
050 | 4 | _aQA276-280 | |
072 | 7 |
_aPBT _2bicssc |
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072 | 7 |
_aMAT029000 _2bisacsh |
|
082 | 0 | 4 |
_a519.5 _223 |
100 | 1 |
_aDiMaggio, Charles. _eauthor. |
|
245 | 1 | 0 |
_aSAS for Epidemiologists _h[electronic resource] : _bApplications and Methods / _cby Charles DiMaggio. |
264 | 1 |
_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2013. |
|
300 |
_aXVII, 258 p. 115 illus., 83 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aIntroduction -- The SAS Environment -- Working with SAS Data -- Preliminary Procedures -- Manipulating Data -- Descriptive Statistics -- Histograms and Plots -- Categorical Data Analysis I and II -- Cleaning and Assessing Continuous Data using MEANS -- ANOVA -- Correlation -- Linear Regression -- Regression Diagnostics -- Solutions. | |
520 | _aThis comprehensive text covers the use of SAS for epidemiology and public health research. Developed with students in mind and from their feedback, the text addresses this material in a straightforward manner with a multitude of examples. It is directly applicable to students and researchers in the fields of public health, biostatistics and epidemiology. Through a “hands on” approach to the use of SAS for a broad number of epidemiologic analyses, readers learn techniques for data entry and cleaning, categorical analysis, ANOVA, and linear regression and much more. Exercises utilizing real-world data sets are featured throughout the book. SAS screen shots demonstrate the steps for successful programming. SAS (Statistical Analysis System) is an integrated system of software products provided by the SAS institute, which is headquartered in California. It provides programmers and statisticians the ability to engage in many sophisticated statistical analyses and data retrieval and mining exercises. SAS is widely used in the fields of epidemiology and public health research, predominately due to its ability to reliably analyze very large administrative data sets, as well as more commonly encountered clinical trial and observational research data. . | ||
650 | 0 | _aStatistics. | |
650 | 1 | 4 | _aStatistics. |
650 | 2 | 4 | _aStatistics, general. |
650 | 2 | 4 | _aStatistics for Life Sciences, Medicine, Health Sciences. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9781461448532 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-1-4614-4854-9 |
912 | _aZDB-2-SMA | ||
942 |
_2Dewey Decimal Classification _ceBooks |
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999 |
_c44201 _d44201 |