04227nam a22004815i 4500 978-3-319-02402-8 DE-He213 20210617230814.0 cr nn 008mamaa 131107s2014 gw | s |||| 0|eng d 9783319024028 978-3-319-02402-8 10.1007/978-3-319-02402-8 doi QA276-280 PBT bicssc MED090000 bisacsh PBT thema MBNS thema 519.5 23 Lee, Hang. author. aut http://id.loc.gov/vocabulary/relators/aut Foundations of Applied Statistical Methods [electronic resource] / by Hang Lee. 1st ed. 2014. Cham : Springer International Publishing : Imprint: Springer, 2014. X, 161 p. 107 illus., 2 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Warming 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.   . This 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. . Statistics . Statistics for Life Sciences, Medicine, Health Sciences. https://scigraph.springernature.com/ontologies/product-market-codes/S17030 Statistical Theory and Methods. https://scigraph.springernature.com/ontologies/product-market-codes/S11001 Statistics, general. https://scigraph.springernature.com/ontologies/product-market-codes/S0000X SpringerLink (Online service) Springer Nature eBook Printed edition: 9783319024011 Printed edition: 9783319024035 Printed edition: 9783319347240 https://doi.org/10.1007/978-3-319-02402-8 ZDB-2-SMA ZDB-2-SXMS Mathematics and Statistics (SpringerNature-11649) Mathematics and Statistics (R0) (SpringerNature-43713)