Statistic s is a useful decision-making tool in the clinical research arena. When wo rking in a field where a p-value can determine the next steps on developme nt of a drug or procedure\, it is imperative that decision makers understa nd the theory and application of statistics.

\n\nMany statistical so ftwares are now available to professionals. However\, these softwares were developed for statisticians and can often be daunting to non-statistician s. How do you know if you are pressing the right key\, let alone performin g the best test?

\n\nThis seminar provides a non-mathematical introd uction to biostatistics and is designed for non-statisticians. And it will benefit professionals who must understand and work with study design and interpretation of findings in a clinical or biotechnology setting.

\n\nThe focus of the seminar is to give you the information and skills nece ssary to understand statistical concepts and findings as applies to clinic al research\, and to confidently convey the information to others.

\n\nEmphasis will be placed on the actual statistical (a) concepts\, (b) ap plication\, and (c) interpretation\, and not on mathematical formulas or a ctual data analysis. A basic understanding of statistics is desired\, but not necessary.

\n\nSeminar Fee Includes:

\nLunch

\nAM-P M Tea/Coffee

\nSeminar Material

\nUSB with seminar presentation< br />\nHard copy of presentation

\nAttendance Certificate

\n$100 Gift Cert for next seminar

\nDOWNLOAD BROCHURE\n\n

P ersons working in the medical or health sciences\, pharmaceutical and or n utraceutical industries\, clinical trials\, clinical research\, and clinic al research organizations\, physicians\, medical students\, graduate stude nts in the biological sciences\, researchers\, and medical writers who nee d to interpret statistical reports will be benefited by attending this sem inar.

\n\n- \n
- Physicians \n
- Clinical Research Associates \n
- Clinical Project Managers/Leaders \n
- Sponsors \n < li>Regulatory Professionals who use statistical concepts/terminology in re porting\n
- Medical Writers who need to interpret statistical repor ts \n

**AGENDA**

\n \;\n

- \n
- Introduction to Business Continuity \n
- Do we really ne ed statistical tests? \n
- Sample vs. Population \n
- I&rsqu o\;m a statistician not a magician! What statistics can and can&rsquo\;t d o \n
- Descriptive statistics and measures of variability \n \n \n
- Session 2: The many ways of interpretation \;(90 Min
s)\n
- \n
- Confidence intervals \n
- p-values \n
- eff ect sizes \n
- Clinical vs. meaningful significance \n

\n - Session 3: Common Statistical Tests \;(90 Mins)\n
- \n
- Comparative tests \n
- Regression analysis \n
- Non-para metric techniques \n

\n - Session 4: Bayesian Logic&nbs
p\;(90 Mins)\n
- \n
- A different way of thinking \n
- Bayesia n methods and statistical significance \n
- Bayesian applications t o diagnostics testing \n
- Bayesian applications to genetics \n

\n - Session 1: Interpreting Statistics &ndash\; Team Exercis
e \;(90 Mins)\n
- \n
- Team Exercise: Review a scientific paper a
nd learn how to\n
- \n
- Interpret statistical jargon \n
- Look for reproducibility\, transparency\, bias\, and limitations \n
- Convey information coherently to non-statisticians \n

\n - Team Exercise: Review a scientific paper a
nd learn how to\n
- Session 2: Study Power and Sample Size \;(90
Mins)\n
- \n
- Review of p-value\, significance level\, effect size< /li>\n
- Formulas\, software\, and other resources for computing a samp le size \n

\n - Session 3: Developing a Statistical Ana
lysis Plan \;(90 Mins)\n
- \n
- Using FDA guidance as a foundatio n\, learn the steps and criteria needed to develop a statistical analysis plan (SAP). \n
- An SAP template will be given to all attendees.\n

\n - Session 4: Specialized topics/Closing Comments/Q&
amp\;A \;(90 Mins)\n
- \n
- Comparing Survival Curves \n
- Logistic Regression \n
- Taking a holistic view to study design an d interpretation \n
- Question and Answer session \n

- \n

\n

\nDAY 02(8:30 AM - 4:30 PM)

\n&n bsp\;\n

- \n

**SPEAKER**

\nElaine Eisenbeisz

\nOwner\, Omega St atistics\n

Elaine Eisenbeisz is a private practice statistician and owne r of Omega Statistics\, a statistical consulting firm based in Southern Ca lifornia. Elaine has over 30 years of experience in creating data and info rmation solutions for industries ranging from governmental agencies and co rporations\, to start-up companies and individual researchers.

\n\nE laine&rsquo\;s love of numbers began in elementary school where she placed in regional and statewide mathematics competitions. She attended Universi ty of California\, Riverside\, as a National Science Foundation scholar\, where she earned a B.S. in Statistics with a minor in Quantitative Managem ent\, Accounting. Elaine received her Master&rsquo\;s Certification in App lied Statistcs from Texas A&\;M\, and is currently finishing her gradua te studies at Rochester Institute of Technology. Elaine is a member in goo d standing with the American Statistical Association as well as many other professional organizations. She is also a member of the Mensa High IQ Soc iety. Omega Statistics holds an A+ rating with the Better Business Bureau.

\n\nElaine has designed the methodology for numerous studies in the clinical\, biotech\, and health care fields. She currently is an investig ator on approximately 10 proton therapy clinical trials for Proton Collabo rative Group\, based in Illinois. She also designs and analyzes studies as a contract statistician for nutriceutical and fitness studies with QPS\, a CRO based in Delaware. Elaine has also worked as a contract statistician with numerous private researchers and biotech start-ups as well as with l arger companies such as Allergan and Rio Tinto Minerals. Not only is Elain e well versed in statistical methodology and analysis\, she works well wit h project teams. Throughout her tenure as a private practice statistician\ , she has published work with researchers and colleagues in peer-reviewed journals. Please visit the Omega Statistics website at www.OmegaStatistics .com to learn more about Elaine and Omega Statistics.

\n\nPlease con
tact the event manager Marilyn (marilyn.b.turner(at)nyeventslist.com ) bel
ow for: \;

\n- Multiple participant discounts \;

\n- Pri
ce quotations or visa invitation letters \;

\n- Payment by altern
ate channels (PayPal\, check\, Western Union\, wire transfers etc) \;<
br />\n- Event sponsorship \;

\n

\nNO REFUNDS ALLOWED ON REG
ISTRATIONS \;

\nPrices may go up any time. Service fees included
in pricing. \;

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\n SUMMARY:Biostatistics for the Non-Statistician (com) A BEGIN:VALARM ACTION:DISPLAY TRIGGER:-PT1H SUMMARY:Biostatistics for the Non-Statistician (com) A END:VALARM END:VEVENT END:VCALENDAR