Hypothesis Testing, P-values and Inference: When Thinking like a Statistician Makes Sense

Instructor: Elaine Eisenbeisz
Product ID: 703552
  • 6
  • March 2019
    Wednesday
  • 10:00 AM PST | 01:00 PM EST
    Duration: 120 Min
This clinical research webinar will explore the reasoning that formulates null hypotheses and turns researchers’ hair gray. Attendees will learn the why and how of the scientific method and how to view the world with a statistician’s eyes. Also attendees will learn the possibilities and limitations of research questions and hypothesis development, how to interpret statistical findings with p-values, effect sizes, and confidence intervals.

Live Online Training
March 06, Wednesday 10:00 AM PST | 01:00 PM EST | Duration: 120 Min

$299.00
One Dial-in One Attendee
$649.00
Group-Max. 10 Attendees/Location
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Super Deal - Get CD/USB Drive Free!

recorded version

$349.00
1x Person - Unlimited viewing for 6 Months
(For multiple locations contact Customer Care)
Recorded Link and Ref. material will be available in My CO Section 48 hrs after completion of Live training

Training CD / USB Drive

$449.00
One CD/USB is for usage in one location only.
(For multiple locations contact Customer Care)
CD/USB and Ref. material will be shipped within 15 business days after completion of Live training

Combo Offers

Live + Recorded Version

$449.00

Live + Training CD/USB

$549.00

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Read Frequently Asked Questions

Why Should You Attend:

Do you become tongue tied when explaining the meaning of a p-value? Would you like to know why the null hypothesis is so important to research? Why don’t studies prove anything? Are your pretty sure about what you want to say in plain English, but you’re not sure how to say it statistically?

This webinar will briefly review the history of scientific method. We will explore the steps involved in developing a research question that can be tested with statistical hypotheses. Examples of research questions and hypotheses that can and cannot be tested will be presented. A brief lesson in statistical theory will explain why we don’t prove anything in research, we can only make really, really, good guesses…providing we look at the problem the right way. We will also discuss three ways of interpretation that in combination can be used for better decision making, namely, p-values, effect sizes, and confidence intervals.

Learning Objective:

At the end of the webinar, participants will have a more thorough understanding of using the tenants and tools of scientific method to align their studies to obtain valid and reliable results.

Areas Covered in the Webinar:

  • Brief history of the scientific method
  • Examples of when scientific methods is useful, and when it is not are not.
  • 5 steps for hypothesis testing:
    • Formulation of research questions and statistical hypotheses to explain and/or test phenomena.
    • Specify the statistical hypotheses
    • Choice of an appropriate test-statistic
    • Compute probability and determine if results are significant
    • Properly state conclusions and make inferences based on the test results
  • Why p-values are not enough. A review of effect sized and confidence intervals.
  • Suggestions for the best tests to use to address specific types research, and how to structure the study research questions accordingly:
    • Tests of mean differences
    • Tests of correlation/association

Who Will Benefit:

  • Researchers
  • Principal Investigators
  • Coordinators
  • Industry Sponsors
  • IRB members
Instructor Profile:
Elaine Eisenbeisz

Elaine Eisenbeisz
Owner, Omega Statistics

Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California. Elaine earned her B.S. in Statistics at UC Riverside and received her Master’s Certification in Applied Statistics from Texas A&M.

Elaine is a member in good standing with the American Statistical Association and a member of the Mensa High IQ Society. Omega Statistics holds an A+ rating with the Better Business Bureau.

Elaine has designed the methodology and analyzes data for numerous studies in the clinical, biotech, and health care fields. Elaine has also works as a contract statistician with private researchers and biotech start-ups as well as with larger companies such as Allergan, Nutrisystem and Rio Tinto Minerals. Throughout her tenure as a private practice statistician, she has published work with researchers and colleagues in peer-reviewed journals.

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Refund Policy

Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange.

Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time.

If you have any concern about the content of the webinar and not satisfied please contact us at below email or by call mentioning your feedback for resolution of the matter.

We respect feedback/opinions of our customers which enables us to improve our products and services. To contact us please email customercare@complianceonline.com call +1-888-717-2436 (Toll Free).

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