STATISTICAL CONCEPTS IN BIOLOGY AND HEALTH SCIENCES

Authors

  • Huma Zahir
  • Aisha Javaid
  • Rehana Rehman
  • Zahir Hussain

Abstract

In view of its applied aspects, Statistics serves as a separate mathematical science. In that respect, biostatistics is the application of statistical concepts and methods in biology, public health and medicine. One major task of medical biostatistics is to understand why a disease occurs in certain area and why that disease does not occur in other areas. In general, the advantages for properly applying statistics for a country are to keep the detailed information of people in a country. However, there must in mind be the other face of the task remembering not to adapt these surveys and limited data with entirety for quick applications that might be less advantageous. Some of the programs are much expensive and time consuming and people may feel not comfortable conveying their personal information just for the sake of applying a so called organized procedure. In such conditions, one must consider the moral values as well. Another quite unfortunate fact is that a statistical data can be misused for personal needs of a presenter. There must be ways to eradicate such customs at the governmental level. Basic and higher courses, certificate courses, diploma programs, degree programs, and other opportunities for students can be well organized and can be utilized in various employment areas in industry, government, life sciences, computer science, medicine, public health, education, teaching, research, and survey research. Statisticians, hence, are very important people for establishing various schemes, programs, institutions and organizations in medical and biological sectors.Keywords: Biostatistics, medical statistics, basic statistics and mathematical concepts, tasks and significance of biostatistics

References

Hays WL, editor. Statistics for the Social Sciences. California: Holt, Rinehart and Winston;1973.

Moses LE, editor. Think and Explain with Statistics. Boston: Addison-Wesley;1986.

Moore D. Teaching statistics as a respectable subject. In: Gordon F, Gordon S, editors. Statistics for the twenty-first century. Washington DC: The Mathematical Association of America; 1992. p. 14–25.

Chance BL, Rossman AJ. Preface. In: Chance BL, Rossman AJ, editors. Investigating statistical concepts, applications, and methods. California: Duxbury Press;2005.

Dodge Y, editor. The Oxford Dictionary of Statistical Terms. Oxford: Oxford University Press;2003.

Anderson DR, Sweeney DJ, Williams TA, editors. Statistics: Concepts and Applications. New Jersey: McGraw-Hill;1995.

Wilkis SS, editor. Mathematical Statistics. New York: John Wiley;1962.

Thompson SP, Gardner M, editors. Calculus Made Easy. New York: St. Martin's Press;1998.

Random House Webster's Unabridged Dictionary. New York: Random House, Inc.;2001.

Cantor G. Ueber eine Eigenschaft des Inbegriffes aller reellen algebraischen Zahlen, Crelles J Math 1874;77:258–62.

Johnson P, editor. A History of Set Theory. Boston: Prindle, Weber & Schmidt;1972.

Feller W, editor. Introduction to probability theory and its applications. 3rd ed. New York: John Wiley;1968.

Stuart A, Ord K, editor. Kendall's advanced theory of statistics, Distribution theory. Vol-1: 6th ed. New York: John Wiley;2009.

Wald A, editor. Sequential analysis. New York: John Wiley;1947.

Wald A. editor. Statistical Decision Functions. New York: John Wiley;1950.

Lucien LC, editor. Asymptotic methods in statistical decision theory. Heidelberg: Springer-Verlag;1986.

Erich L, editor. Testing statistical hypotheses. 2nded. New York: Springer;1997.

Eric L, Cassella G, editors. Theory of point estimation. 2nded. New York: Springer;1998.

Doksum KA, editor Mathematical Statistics: Basic and Selected Topics. New Jersey: Pearson Prentice-Hall;2001.

Freedman DA. editor Statistical Models: Theory and Practice.Cambridge: Cambridge University Press;2005.

Friedrich L, Klaus JM, editors. Statistical Decision Theory: Estimation, Testing, and Selection. New York: Springer;2008.

Emmert-Streib F, Dehmer M, editors. Medical Biostatistics for Complex Diseases. New York: Wiley-Blackwell; 2010.

Ewens WJ, Grant GR, editors. Statistical Methods in Bioinformatics: An Introduction. New York: Springer; 2004.

Causton H, Quackenbush J, Brazma A, editor. Statistical Analysis of Gene Expression Microarray Data. New York: Wiley-Blackwell; 2003.

Speed T, editor. Microarray Gene Expression Data Analysis: A Beginner's Guide. London: Chapman & Hall/CRC; 2003.

Dehmer M, Emmert-Streib F, Graber A, Salvador A, editors. Applied Statistics for Network Biology: Methods in Systems Biology. New York: Wiley-Blackwell; 2011.

Huff D, editor. How to lie with statistics. New York: WW Norton & Company, Inc.; 1954

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Published

2014-03-01