BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Foundations of Applied Statistical Methods

Foundations of Applied Statistical Methods

Foundations of Applied Statistical Methods Paperback - 2016

by Hang Lee

Add to wish list
  • New
  • Paperback
New

Description

Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; N/A
Ask the seller a question Add to wish list
A$105.28
A$15.59 Delivery to USA
Standard delivery: 7 to 12 days
More delivery options
Ships from Ria Christie Collections (Greater London, United Kingdom)

Details

  • Title Foundations of Applied Statistical Methods
  • Author Hang Lee
  • Binding Paperback
  • Condition New
  • Pages 161
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2016-08-23
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # ria9783319347240_inp
  • ISBN 9783319347240 / 3319347241
  • Weight 0.56 lbs (0.25 kg)
  • Dimensions 9.21 x 6.14 x 0.38 in (23.39 x 15.60 x 0.97 cm)
  • Category Medical / Nursing
  • Dewey Decimal Code 519.5
  • Quantity available 294

About Ria Christie Collections Greater London, United Kingdom

Biblio member since 2014

Hello We are professional online booksellers. We sell mostly new books and textbooks and we do our best to provide a competitive price. We are based in Greater London, UK. We pride ourselves by providing a good customer service throughout, shipping the items quickly and replying to customer queries promptly. Ria Christie Collections

Terms of Sale:

30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Ria Christie Collections

Reader reviews for Foundations of Applied Statistical Methods

From the publisher

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 it 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 on applying statistical methods to study design and data analysis in collaborative medical research setting as well as on teaching. He received his PhD from University of Southern California Department of Preventive Medicine, received a post-doctoral training at Harvard Department of Biostatistics, has held faculty appointments at UCLA School of Medicine and Harvard Medical School, and currently a biostatistics faculty member at Massachusetts General Hospital and Harvard Medical School in Boston, Massachusetts, USA.

From the rear cover

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.

About the author

The author has over twenty years of experience on applying statistical methods to study design and data analysis in collaborative medical research setting as well as on teaching. He received his PhD from University of Southern California Department of Preventive Medicine, received a post-doctoral training at Harvard Department of Biostatistics, has held faculty appointments at UCLA School of Medicine and Harvard Medical School, and currently a biostatistics faculty member at Massachusetts General Hospital and Harvard Medical School in Boston, Massachusetts, USA.

tracking-