Statistics and scientific method : an introduction for students and researchers /

An antidote to technique-orientated approaches, this text avoids the recipe-book style, giving the reader a clear understanding of how core statistical ideas of experimental design, modelling and data analysis are integral to the scientific method.

Bibliographic Details
Main Author: Diggle, Peter
Other Authors: Chetwynd, Amanda
Format: eBook
Language:English
Language Notes:English.
Published: Oxford : Oxford University Press, 2011.
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Introduction
  • Overview : investigating Newton's law
  • Uncertainty : variation, probability and inference
  • Exploratory data analysis : gene expression microarrays
  • Experimental design : agricultural field experiments and clinical trials
  • Simple comparative experiments : comparing drug treatments for chronic asthmatics
  • Statistical modelling : the effect of trace pollutants on plant growth
  • Survival analysis : living with kidney failure
  • Time series analysis : predicting fluctuations in daily maximum temperatures
  • Spatial statistics : monitoring air pollution
  • Appendix : the R computing environment.