Indira Gandhi National Tribal University, Amarkantak

Prof. Ram Dayal Munda Central Library

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Biostatistics : a guide to design, analysis, and discovery

By: Contributor(s): Material type: TextTextPublication details: Amsterdam ; Boston : Elsevier Academic Press, ©2007Edition: 2ndDescription: xvii, 502 pages : illustrationsISBN:
  • 9788131211199
DDC classification:
  • 610.72 FOR
Contents:
1. Introduction -- 2. Data and numbers -- 3. Descriptive methods -- 4. Probability and life tables -- 5. Probability distributions -- 6. Study design -- 7. Interval estimation -- 8. Test of hypotheses -- 9. Nonparametric tests -- 10. Analysis of categorical data -- 11. Analysis of survival data -- 12. Analysis of variance -- 13. Linear regression -- 14. Logistic and proportional hazards regression -- 15. Analysis of survey data -- Appendix A: Review of basic mathematic concepts -- Appendix B: Statistical tables -- Appendix C: Selected governmental sources of biostatistical data -- Appendix D: Solutions to selected exercises.
Summary: Today, mathematics, biology, medicine, and statistics are closing the interdisciplinary gap in an unprecedented way and many of the important unanswered questions now emerge at the interface of these disciplines. Now in its Second Edition, this user-friendly guide on biostatistics focuses on the proper use and interpretation of statistical methods. This textbook does not require extensive background in mathematics, making it user-friendly for all students in the public health sciences field. Instead of highlighting derivations of formulas, the authors provide rationales for the formulas, allowing students to grasp a better understanding of the link between biology and statistics. The material on life tables and survival analysis allows students to better understand the recent literature in the health field, particularly in the study of chronic disease treatment. Biostatistics now includes a companion website to demonstrate the different applications of computer packages for performing the various analyses presented in this text. * Includes access to a companion website with further examples and a full explanation of computer packages * Over 40% new material with modern real-life examples, exercises and references * New chapters on Logistic Regression; Analysis of Survey Data; and Study Designs * Introduces strategies for analyzing complex sample survey data * Written in a conversational style more accessible to students with real data
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Books Books Prof. Ram Dayal Munda Central Library Pharmacy 610.72 FOR (Browse shelf(Opens below)) Available 59529
Books Books Prof. Ram Dayal Munda Central Library Pharmacy 610.72 FOR (Browse shelf(Opens below)) Available 59530
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Books Books Prof. Ram Dayal Munda Central Library Pharmacy 610.72 FOR (Browse shelf(Opens below)) Available 59532
Books Books Prof. Ram Dayal Munda Central Library Pharmacy 610.72 FOR (Browse shelf(Opens below)) Available 59533

1. Introduction --
2. Data and numbers --
3. Descriptive methods --
4. Probability and life tables --
5. Probability distributions --
6. Study design --
7. Interval estimation --
8. Test of hypotheses --
9. Nonparametric tests --
10. Analysis of categorical data --
11. Analysis of survival data --
12. Analysis of variance --
13. Linear regression --
14. Logistic and proportional hazards regression --
15. Analysis of survey data --
Appendix A: Review of basic mathematic concepts --
Appendix B: Statistical tables --
Appendix C: Selected governmental sources of biostatistical data --
Appendix D: Solutions to selected exercises.


Today, mathematics, biology, medicine, and statistics are closing the interdisciplinary gap in an unprecedented way and many of the important unanswered questions now emerge at the interface of these disciplines. Now in its Second Edition, this user-friendly guide on biostatistics focuses on the proper use and interpretation of statistical methods. This textbook does not require extensive background in mathematics, making it user-friendly for all students in the public health sciences field. Instead of highlighting derivations of formulas, the authors provide rationales for the formulas, allowing students to grasp a better understanding of the link between biology and statistics. The material on life tables and survival analysis allows students to better understand the recent literature in the health field, particularly in the study of chronic disease treatment. Biostatistics now includes a companion website to demonstrate the different applications of computer packages for performing the various analyses presented in this text. * Includes access to a companion website with further examples and a full explanation of computer packages * Over 40% new material with modern real-life examples, exercises and references * New chapters on Logistic Regression; Analysis of Survey Data; and Study Designs * Introduces strategies for analyzing complex sample survey data * Written in a conversational style more accessible to students with real data

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