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๐Ÿ“

Introductory Biostatistics

โœ Scribed by Chap T. Le(auth.)


Year
2003
Tongue
English
Leaves
549
Category
Library

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โœฆ Synopsis


  • Provides many real-data sets in various fields in the form of examples at at the end of all twelve chapters in the form of exercises.
  • Covers all of the nuts and bolts of biostatistics in a user-friendly style that motivates readers.
  • Contains notes on computations at the end of most chapters, covering the use of Excel, SAS, and others.

Content:
Chapter 1 Descriptive Methods for Categorical Data (pages 1โ€“56):
Chapter 2 Descriptive Methods for Continuous Data (pages 57โ€“107):
Chapter 3 Probability and Probability Models (pages 108โ€“146):
Chapter 4 Estimation of Parameters (pages 147โ€“187):
Chapter 5 Introduction to Statistical Tests of Significance (pages 188โ€“207):
Chapter 6 Comparison of Population Proportions (pages 208โ€“245):
Chapter 7 Comparison of Population Means (pages 246โ€“281):
Chapter 8 Correlation and Regression (pages 282โ€“313):
Chapter 9 Logistic Regression (pages 314โ€“349):
Chapter 10 Methods for Count Data (pages 350โ€“378):
Chapter 11 Analysis of Survival Data and Data from Matched Studies (pages 379โ€“444):
Chapter 12 Study Designs (pages 445โ€“482):


๐Ÿ“œ SIMILAR VOLUMES


Introductory Biostatistics
โœ Chap T. Le ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Wiley-Interscience ๐ŸŒ English

* Provides many real-data sets in various fields in the form of examples at at the end of all twelve chapters in the form of exercises. * Covers all of the nuts and bolts of biostatistics in a user-friendly style that motivates readers. * Contains notes on computations at the end of most cha

Introductory Biostatistics
โœ Chap T. Le ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Wiley-Interscience ๐ŸŒ English

It is mind-boggling how one can have so many mistakes in a textbook like this. This book was required for our Biostatistics II class, and I am really displeased by all of the mistakes. What is the worst offense is that some of the answers for test questions are wrong. For example, the one way ANOVA