Logo - springer
Slogan - springer

Statistics - Life Sciences, Medicine & Health | Foundations of Applied Statistical Methods

Foundations of Applied Statistical Methods

Lee, Hang

2014, X, 161 p. 107 illus., 2 illus. in color.

Available Formats:

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.


(net) price for USA

ISBN 978-3-319-02402-8

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase

learn more about Springer eBooks

add to marked items


Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.


(net) price for USA

ISBN 978-3-319-02401-1

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days

add to marked items

  • ​Covers applied statistical methods in a concise and easily accessible way
  • Driven by real-world examples not just mathematical derivations
  • Includes valuable review exercises and 7 appendices

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. 

Content Level » Graduate

Keywords » applied statistics - descriptive statistics - design of experiments - probability - statistical inference - survival time data analysis

Related subjects » Life Sciences, Medicine & Health - Statistical Theory and Methods - Statistics

Table of contents 

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.   

Popular Content within this publication 



Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Statistics for Life Sciences, Medicine, Health Sciences.