BASIC Microcomputing and Biostatistics

How to Program and Use Your Microcomputer for Data Analysis in the Physical and Life Science Including Medicine

  • Authors
  • Donald W. Rogers

Table of contents

  1. Front Matter
    Pages i-xi
  2. Donald W. Rogers
    Pages 1-18
  3. Donald W. Rogers
    Pages 19-46
  4. Donald W. Rogers
    Pages 47-69
  5. Donald W. Rogers
    Pages 71-90
  6. Donald W. Rogers
    Pages 91-116
  7. Donald W. Rogers
    Pages 117-130
  8. Donald W. Rogers
    Pages 131-153
  9. Donald W. Rogers
    Pages 155-174
  10. Donald W. Rogers
    Pages 175-204
  11. Donald W. Rogers
    Pages 205-237
  12. Donald W. Rogers
    Pages 239-263
  13. Back Matter
    Pages 265-274

About this book


BASIC Microcomputing and Biostatistics is designed as the first practical "how to" guide to both computer programming in BASIC and the statis­ tical data processing techniques needed to analyze experimental, clinical, and other numerical data. It provides a small vocabulary of essential com­ puter statements and shows how they are used to solve problems in the bio­ logical, physical, and medical sciences. No mathematical background be­ yond algebra and an inkling of the principles of calculus is assumed. All more advanced mathematical techniques are developed from "scratch" before they are used. The computing language is BASIC, a high-level lan­ guage that is easy to learn and widely available using time-sharing com­ puter systems and personal microcomputers. The strategy of the book is to present computer programming at the outset and to use it throughout. BASIC is developed in a way reminiscent of graded readers used in human languages; the first programs are so sim­ ple that they can be read almost without an introduction to the language. Each program thereafter contains new vocabulary and one or more con­ cepts, explained in the text, not used in the previous ones. By gradual stages, the reader can progress from programs that do nothing more than count from one to ten to sophisticated programs for nonlinear curve fitting, matrix algebra, and multiple regression. There are 33 working programs and, except for the introductory ones, each performs a useful function in everyday data processing problems encountered by the experimentalist in many diverse fields.


Permutation calculus computer life sciences statistics

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