Class Meeting:

The course will meet twice a week for 2 hour periods starting at 4:00 and lasting until 6:00. The first 5 sessions will consist of mainly didactic lectures and assigned homework problems. This section will cover the fundamentals of basic statistical concepts as a foundation to the second portion of the course. Sessions 7 through 15 will be devoted to particular topics with the emphasis on problem solving. Each session will begin with an in-depth discussion of the problem assignment(s) from the preceding session. The second portion of each session will be a didactic presentation of the material for the next problem assignments and will include an introduction of the statistical problem to be worked on before the next class. Each of the problem sets will consist of representative data from research laboratories within the basic sciences illustrating a particular statistical approach to problem solving and data representation. The discussion of the problem set will include appropriate statistical tests, presentation and interpretation of analysis.

The course will represent two (2) credit hours and meet for 16 two hour sessions. The mid-term exam will represent 20% of the course grade and will cover the basic material through the first 5 sessions. The emphasis of the exam will be on concepts and Astatistical vocabulary@. The final end-term project will consist of an appropriate analysis and statistical discussion of an experimental data set of the student=s choosing (with approval of instructor). This end term grade will be worth 20% of the overall grade. The remaining 60% of the course grade will be based on performance in class discussions and the problem sets which must be turned in each session.

Required Material :

NCSS 2001 and PASS 2000 Statistical Software Package
NCSS - Statistical Software that is easy to use. Includes Data Analysis, Statistical Graphics, and Statistical Analysis.
http://www.ncss.com/

Data file downloads for NCSS exercises :
Data File Downloads for NCSS

Biostatistics. A Methodology for the Health Sciences. Lloyd D. fisher and Gerald vanBelle.
Biometry. Robert R. Sokal and F. James Rohlf
Biostats Basics. A student handbook. James L. Gould and Grant F. Gould.
    http://www.whfreeman.com/gould/
Biostatistics: A Foundation for Analysis in the Health Sciences. Wayne W. Daniel
Basic Statistics for the Health Sciences. Jan W. Kuzma
Epidemiology Biostatistics and Preventive Medicine. James F. Jekel, Joann G. Elmore and David L. Katz.
Biostatistics The bare essentials. Norman and Streiner.

Suggested Links :

General Information

Guidelines for reporting statistics in journals published by the American Physiological Society.  Douglas Curran-Everett and Dale J. Benos. Am J Physiol Endocrinol Metab 287: E189-E191,  2004.
This Editorial provides a number of useful guidelines to consider in providing 
sufficient detail to properly describe and use statistical techniques in the preparation 
of a manuscript. 
http://ajpendo.physiology.org/cgi/content/full/287/2/E189?eto

Statistical tutorials and eBooks

Concepts and Applications of Inferential Statistics.  Has specific Java based calculators and a fairly complete introductory statistical text on line in PDF.  Also has PDF downloads of useful tables.
  Richard Lowry
  Professor of Psychology
  Vassar College
  Poughkeepsie, NY  USA
http://faculty.vassar.edu/lowry/webtext.html

The Statistics Homepage E-Book
http://www.statsoftinc.com/textbook/stathome.html

Statistics at Square One  This is an eBook on statistics from the British Medical Journal.  The portions covered are well presented and should provide a quick reference to facilitate the material presented in class.
http://bmj.com/collections/statsbk/index.shtml

Statnotes: An Online Textbook, by G. David Garson.  This is an excellent set of notes that concisely describes many useful statistical techniques.  The sections on ANOVA and related topics (ANCOVA for example) are very readable.
http://www2.chass.ncsu.edu/garson/pa765/statnote.htm
He also includes a link to Dave Garson's :
Guide to Writing Empirical Papers, Theses, and Dissertations

This is the Home page of  a course in Biometry, or Biostatistics, offered at Arizona State University by Dr. John Nagy.  His Handouts are particularly clear and concise and may provide useful examples and clarification.
http://lsvl.la.asu.edu/bio415/jnagy/

The Prism Guide to Interpreting Statistical Results which is a nearly complete guide to statistical analysis.  While tailored toward using the Prisim software, it is an excellent overall presentation of statistical techniques.  This site includes a library of technical articles that can provide useful insight into many important areas of specific data analysis :
http://www.graphpad.com/index.cfm?cmd=library.index
http://www.graphpad.com/articles/interpret/principles/stat_principles.htm

This site provides an extensive guide to Non-Linear Curve Fitting.  One can download an extensive guide to statistical techniques including curve fitting which is based on  Analyzing Data with GraphPad Prism by Dr. Harvey Motulsky.  The discussion is quite good.
http://www.curvefit.com/

This is written for researchers and students in the sport and exercise sciences.  However, it is a concise and well illustrated approach to understanding basic statistical analysis and data presentation.
http://www.sportsci.org/resource/stats/index.html

General WEB based links with Statistical Resources
http://www.e-stat.org/copss/teaching.htm

The is the site at the FDA that defines Bioequivalence and gives specific guidelines for the determination of bioequivalence and bioavailability.  In reference to the Federal Register notice on "Preliminary Draft Guidance for Industry on In Vivo Bioequivalence Studies Based on Population and Individual Bioequivalence Approaches: Availability", vol. 62, No. 249, Dec. 30, 1997, the Food and Drug Administration (FDA) is announcing the availability of data that were used by the Agency in support of the proposal and the detailed description of statistical methods for individual and population approaches. One motivation for individual bioequivalence is to identify a subject-by-formulation interaction.
http://www.fda.gov/cder/bioequivdata/

STATISTICAL METHODS IN RESEARCH I.  Site contains some excellent PowerPoint presentations of ANOVA and related topics.
http://sta6166.ifas.ufl.edu/Welcome.htm

Summary of Survey Analysis Software. This page is a summary of available software for the analysis of surveys with complex sample designs. Specifically, it includes software that can do variance estimation with such survey data.
http://www.fas.harvard.edu/~stats/survey-soft/survey-soft.html

FTP site containing PowerPoint presentations from a Elementary Statistics II course taught at Rutgers University.  This course are principles and methods of statistics, including hypothesis testing, regression and correlation analysis, curve-fitting, and non-parametric methods.
http://www.stat.rutgers.edu/~mxie/stat212/

This site contains a fairly complete set of statistical lecture notes in PDF format covering many topics presented in this course.
http://www.dal.ca/~houlihan/psy3500/lectures.htm

A good primer to Kaplan-Meier curves and their use in interpreting and presenting Survival Analysis by the folks at the CDC.
http://www.cdc.gov/epiinfo/MANUAL/kapmeier.htm

Other Software:
GraphPad
SAS
SigmaStat