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HomeClinical Trials (GCP Training)Introduction to Biostatistics: Hypothesis Testing

Introduction to Biostatistics: Hypothesis Testing

Teachers
Robert Parody
Category:
Clinical Trials (GCP Training)/ Introductory Pharma Courses/ IT & Data Integrity for Pharma/ On-Demand Courses/
1 Reviews
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Duration: 120 minutes
On-demand
Includes handouts
  • Description
  • Who Should Attend
  • What To Expect

Description

COURSE DESCRIPTION

OVERVIEW

Hypothesis testing is critical for the analysis of clinical trials, and its techniques have useful applications long after the completion of a trial. Whether you are starting a trial and need to formulate benchmarks, or setting a standard for measuring Adverse Event (AE) data throughout the life-cycle management phase, hypothesis testing is the foundational tool necessary to produce accurate, scientifically-sound data.

This interactive, 120-minute session will give you the tools to set-up your hypotheses, identify the correct test to use, complete the test, and make your decision on the hypothesis in question.  Additionally, the course will aid you in turning your statistical data into an answer that will make sense in the “real world.”  You will learn about a and b risks plus different types of tests, such as the z-test and t-test, and what a p-value is.  Additionally, we will talk about how you use a p-value to make your decision.  Furthermore, you will develop the necessary skills to employ these hypothesis testing techniques in your applications.  Course content will be presented with pertinent examples including valid conclusions.

LEARNING OBJECTIVES

Come to the presentation and you will be able to:

  1. Develop a foundational understanding of principles of hypothesis testing
  2. Use software to run the analysis and get pertinent information to make your decision based on the data (we will be using the free, open-source rcommander software)
  3. Understand which type of test should be used for a given situation
  4. Understand how to interpret the results
  5. Understand how to convert the statistical results into real-world conclusions

Who Should Attend

WHO SHOULD ATTEND

This course is ideal for life science personnel who need a foundational understanding of biostatistics to address every day responsibilities, and is ideal for new hires or those who need a refresher. Those in a clinical trials setting will find this course especially useful, although it is of benefit to all staff with upstream/downstream development responsibilities as well.

What To Expect

WHAT TO EXPECT

HOW TO PARTICIPATE

This webinar is offered on-demand. With your course purchase, you may view the previously recorded live session at your convenience (available for 30 days). Access to the on-demand webinar will be made available via email within 1 business day after your purchase. To access the course, you need only a computer with internet access and the log-in credentials.

THE TRAINING PLATFORM

Our webinar platform combines the convenience of online training with the live interactivity of the classroom. Quizzes, case studies, break-out sessions, and assessments are often incorporated into the training . Other ancillary materials can be downloaded from the “Handouts & Resources” area in the virtual classroom. Each course purchase includes a completion certificate issued to the participant after the course.

USER AGREEMENT

Your registration fee for a single participant entitles you to one telephone dial-in and one online course log-in per site. Course testing capabilities, stored results for training records, and completion certificates are available for only one registrant per single participant course purchase. For multiple participants, please purchase more than one registration or consider our 5 or 10 participant packages.

Is this course right for me? We’d be happy to help you select the right training course to meet your needs.
Give us a call at 215-675-1800 (9am – 5pm EST, M-F) for assistance.

About Instructors

Robert Parody
Extensive experience in fields such as biodefense, pharmaceuticals, medical devices, pre-clinical, non-clinical and clinical studies.
  • Vineetha Edavana

    9 hours ago

    I am interested in this course

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Clear

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Duration: 120 minutes
On-demand
Includes handouts

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