Interpreting Biostatistics: A Crash Course

Demystify the methods and statistics of clinical trials

Course Dates: June 30 - July 2, 2021

They key to clinical research interpretation is analyzing methodology and statistics. Was the test sensitive enough? Was the sample size so large that the results were meaningless? Was the study sufficiently powered? These terms are second nature to statisticians, but most health professionals are not statisticians.

Join clinical researchers Jessie Hawkins, PhD and Christy Hires, MPH for this 3-day crash course in medical statistics. This workshop covers the most commonly used analysis methods, from t-tests all the way to MANOVA, and empowers you to better understand the nuance of clinical and epidemiological studies.

The best part? No math is required. The emphasis of this workshop is on interpreting medical statistics, not conducting statistical analysis. You will learn how to identify common problems in clinical studies, such as p-hacking and lying with statistics, without having to learn STATA coding or SPSS commands yourself.

What you can expect: 

  • Instructor Guided: No need for prep work or extra mental labor; simply show up to the Zoom classroom and our instructors will guide you through the learning process.
  • LIVE and Interactive: You won't be tossed into an online platform and left to navigate the lessons on your own; our professional education programs are live and interactive–we literally bring the classroom to your home. Raise your hand, get real-time answers, and interact with classmates.
  • Tested: Over 15,000 students worldwide have benefitted from online courses taught by Dr Jessie Hawkins. Our teaching methods have been perfected and our graduates agree that our programs have boosted their careers.
  • Intimate Class Setting: Courses are limited in size to guarantee ample time for questions, interaction, and instruction, ensuring that you fully master the content.
  • Career-Focused: In addition to earning 8 contact hours of continuing education credits, your career will benefit from the career-focus of the program. Our CEU classes are developed with your success in mind.

Session 1

The first day begins with an overview of descriptive statistics and probability. Master these fundamental statistical measures which are contained in every piece of published research.

Session 2

Day 1 continues into the afternoon by diving head first into clinical trial methods. Learn how to confirm that randomization worked, conduct a power analysis, and address control variables.

Session 3

On day 2, you will begin looking at hypothesis testing methods. The morning session includes regression approaches, including linear, logistic, and multiple.

Session 4

In the afternoon, you will transition to one of the most useful methods in clinical trials: ANOVA. You will also learn about ANCOVA and MANOVA, as well as how to check assumptions required for these methods and which followup tests should be conducted.

Session 5

The final day begins with 2x2 tables, a staple in epidemiological research, and chi-squared analyses. Learn how to interpret commonly used measures such as odds ratios and rate ratios, and how to identify when these tests are used for "lying with statistics."

Session 6

The session concludes with an overview of tools for big data, problems with large datasets, and meta-analytical techniques. You will also learn how to identify when authors publish statistically significant findings that are practically meaningless.

Class Size is Limited; Enroll Today

Demystify the methods and statistics of clinical trials