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001 978-3-319-02402-8
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008 131107s2014 gw | s |||| 0|eng d
020 _a9783319024028
_9978-3-319-02402-8
024 7 _a10.1007/978-3-319-02402-8
_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 _aLee, Hang.
_eauthor.
245 1 0 _aFoundations of Applied Statistical Methods
_h[electronic resource] /
_cby Hang Lee.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aX, 161 p. 107 illus., 2 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aWarming Up-Descriptive Statistics and Essential Probability Models -- Statistical Inference Focusing on a Single Mean or Proportion -- Inference Using t-tests for Comparing Two Means -- Inference Using Analysis of Variance for Comparing Multiple Means -- Inference Using Correlation and Regression -- Normal Distribution Assumption Free Non-Parametric Inference -- Methods for Censored Survival Time Data Analysis and Inference -- Sample Size Determination for Inference -- Review Exercise Problems -- Probability of Standard Normal Distribution -- Percentiles of t-Distributions -- Upper 95th and 99th Percentiles of Chi-square Distributions -- Upper 95th Percentiles of F-Distributions -- Upper 99th Percentiles of F-Distributions -- Sample Sizes for Independent Samples t-tests (normal approximation).- Index.   .
520 _aThis is a text in methods of applied statistics for researchers who design and conduct experiments, perform statistical inference, and write technical reports. These research activities rely on an adequate knowledge of applied statistics. The reader both builds on basic statistics skills and learns to apply them to applicable scenarios without over-emphasis on the technical aspects. Demonstrations are a very important part of this text. Mathematical expressions are exhibited only if they are defined or intuitively comprehensible. This text may be used as a self review guidebook for applied researchers or as an introductory statistical methods textbook for students not majoring in statistics. Discussion includes essential probability models, inference of means, proportions, correlations and regressions, methods for censored survival time data analysis, and sample size determination. The author has over twenty years of experience applying statistical methods to study design and data analysis in collaborative medical research setting as well as on teaching. He received his PhD from the Department of Preventive Medicine at the University of Southern California and post-doctoral training at Harvard Department of Biostatistics. Hang Lee has held faculty appointments at the UCLA School of Medicine and Harvard Medical School. He is currently a biostatistics faculty member at Massachusetts General Hospital and Harvard Medical School in Boston, Massachusetts, USA. 
650 0 _aStatistics.
650 0 _aMathematical statistics.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aStatistical Theory and Methods.
650 2 4 _aStatistics, general.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319024011
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-02402-8
912 _aZDB-2-SMA
999 _c92855
_d92855