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001 1048871992
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008 180813s2019 njua b 001 0 eng
010 _a2018038950
020 _a9781119496700
040 _aNLM
_beng
_erda
_cNLM
_dOCLCO
_dDLC
_dYDX
_dOCLCA
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042 _apcc
050 4 _aRA409
_b.D35 2019
060 1 0 _aWA 950
060 4 _aWA 950
_bD184b 2019
082 0 0 _a610.72/7
_223
100 1 _aDaniel, Wayne W.,
_d1929-
_eauthor.
_0http://id.loc.gov/authorities/names/n79045147
245 1 0 _aBiostatistics :
_ba foundation for analysis in the health sciences /
250 _aEleventh edition
264 1 _aHoboken, NJ :
_bWiley,
_c[2019]
300 _axix, 695 pages :
_billustrations ;
_c26 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index
505 0 _aIntroduction to biostatistics -- Descriptive statistics -- Some basic probability concepts -- Probability distributions -- Some important sampling distributions -- Estimation -- Hypothesis testing -- Analysis of variance -- Simple linear regression and correlation -- Multiple regression and correlation -- Regression analysis : some additional techniques -- The chi-square distribution and the analysis of frequencies -- Nonparametric and distribution-free statistics -- Survival analysis -- Vital statistics
520 _a"The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand--and appropriately use--probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference." --
_cProvided by publisher
650 0 _aMedical statistics.
_0http://id.loc.gov/authorities/subjects/sh85083031
650 0 _aBiometry.
_0http://id.loc.gov/authorities/subjects/sh85014244
650 1 2 _aBiostatistics.
_0(DNLM)D056808.
_0https://id.nlm.nih.gov/mesh/D056808
650 2 2 _aBiometry.
_0(DNLM)D001699.
_0https://id.nlm.nih.gov/mesh/D001699
700 1 _aCross, Chad Lee,
_d1971-
_eauthor.
_0http://id.loc.gov/authorities/names/n2012070882
776 0 8 _iOnline version:
_aDaniel, Wayne W., 1929-
_tBiostatistics.
_bEleventh edition.
_dHoboken, NJ : Wiley, [2019]
_z9781119496663
_w(DLC) 2018039731
942 _2lcc
_cBK
_03
999 _c2681
_d2681