• • • • • • • IGP 304: Statistics for Biomedical Research Instructor: Frank Harrell Course page: Course Goals • understand basic concepts, ideas, and techniques often used in statistics, especially biostatistics; • develop appreciation of (i) variation, (ii) importance of design to the overall quality of a study, (iii) impact of assumptions on data analysis and interpretation, and (iv) artifacts and caveats in data analysis and interpretation; • carry out simple exploratory/graphical/formal/diagnostic analysis; and • know when and where to seek statisticians’ help. • not to emphasize software but rather concepts and interpretation of statistical results Statistics is best learned by analyzing real data. Please bring your problems to the class. The problems can be issues in study design or data analysis or result interpretation, and they can be from your own research, papers you read, news reports, etc. Remove any before presenting to the class or sending to the instructors. Your grade will be based on homework assignments, a mid-term exam, quizzes, a final project, and quality patricipation in class discussions. Before each lecture, read the relevant chapters in Rosner and other assigned readings, and come prepared to discuss.

Textbook and Reading Materials • [H]; see also • [R] Fundamentals of Biostatistics, 6th edition by Bernard Rosner, 2005, 896 pages. ISBN-10: ISBN-13: 9205 • [SN] Altman DG, Bland JM et al.

Jan 17, 2018 - Confidence Interval Analysis Cia Software Download. Download RAndFriends from that site to get R, the Excel setup, and R Commander. Download to your computer. Mac; Windows. Confidence Intervals, and Meta-Analysis. Statistics with Confidence and the CIA software are resources that every. The Six Sigma Confidence Interval Analysis (CIA) Training Module includes: 1. MS PowerPoint Presentation including 72 slides covering theory and examples of.

(1994-2006) Statistics Notes. British Medical Journal. Fifty-two valuable short articles on misuses and correct uses of statistics in medical research. • [LHSP] Dallal G. Little Handbook of Statistical Practice: • [SP] Statistical Problems to Document and to Avoid.

A collection of misuses of statistics. Other Useful Books (not required; asterisks ― highly recommended to read): • Kirkwood BR, Sterne JAC (2003) Essential Medical Statistics, 2nd ed.

Blackwell Publishers. Corrections and four datasets are available at book web site. • Altman DG (1990) Practical Statistics for Medical Research. Chapman & Hall/CRC. [A very good book on medical statistics.

The second edition should come out soon.] • Altman DG, Machin D, Bryant TN, Gardner MJ (2000) Statistics with Confidence, 2nd ed. Blackwell Publishers. Universaljnij sportivnij kompleks dwg proekt. [Short essays on the advantages of using confidence intervals.

The book comes with software Confidence Interval Analysis (CIA).] • Armitage P, Berry G, Matthews JNS (2001) Statistical Methods in Medical Research, 4th ed. Blackwell Publishers. [This book is quite comprehensive, covering more materials than a semester’s course. It may serve as a reference book, but definitely not a cookbook.] • Bland M (2000) An Introduction to Medical Statistics, 3rd ed.

Oxford University Press. [Another popular introductory book on medical statistics.] • Motulsky H (1995) Intuitive Biostatistics.

Oxford University Press. [This book covers basic materials in biostatistics and explains the basic concepts very well.] • Rosner B (2005) Fundamentals of Biostatistics, 6th ed. Duxbury Press. [Old style of teaching statistics. Lots of examples from many medical fields.] • *Freedman D, Pisani R, and Purves R (1997) Statistics, 3rd ed.

Norton & Company. [This is a very good introduction to statistics, without being technical.] • Moore DS, Notz WI (2005) Statistics: Concepts and Controversies, 6th ed. [Another very good non-technical introduction to statistics.] Free Online Resources • Resources from Vanderbilt Biostatistics: • Glossary of Statistical Terms: • HyperStat Online (by David Lane): [An online book on basic statistics, with some useful links.] • SticiGui (by Philip Stark): [An online non-technical textbook on introductory statistics, with applets to allow interactive learning.] • Electronic Statistics Textbook (by StatSoft): • Electronic Encyclopedia of Statistical Examples and Exercises (EESEE): [A good site for learning statistics with lots of examples. Developed by folks at an Ohio State University.] Software • You can use any software your want other than Excel. We will be demonstrating R and giving out R code.