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To stay up to date with the latest webinars from Omega Statistics, please Subscribe to the Omega Statistics Youtube Channel by clicking on that little red YouTube button!

 

JOIN US FOR OUR NEXT STATS FOR THE MASSES (SFTM) WEBINAR!

 

Thursday, November 29, 2018
 11:00 a.m. to 12:30 p.m., Pacific Time

Overview of Cox Proportional Hazards Models

Cox regression (also called proportional hazards regression) is used to analyze the effect of several variables on survival or other time-to-event outcomes.

Join Elaine Eisenbeisz to learn about:

— Review of the Kaplan-Meier method with log-rank test
— Review of Interpreting Survival curves
— Assumptions for Cox proportional hazards models
— Analysis & Interpretation of Cox proportional hazards models.

Anyone is welcome to attend the webinar. However knowledge of multiple linear regression and logistic regression will be useful for attendees in understanding the concepts presented.

There is always some time for Q&A during the live event so bring your questions!

All registrants will receive handouts and a link to a recording of the webinar. So if you cannot attend the live event, you can watch later at your convenience.

The webinar and recording are FREE! But space is limited, so register today!


ARCHIVE: STATS FOR THE MASSES WEBINARS!

Feel free to click on any of the webinars listed below to be directed to the Omega Statistics channel on YouTube to view for free!

I will announce new additions to the archived videos in my newsletter as they become available, so so sign up to keep in touch and informed of all the happenings here at Omega Statistics.

I’d love to hear from you about statistical topics or analyses you’d like to see in more detail so send me an email at [email protected] with your ideas and/or suggestions!


SEPTEMBER 7, 2018: THOSE DARN RATIOS!

You see them reported in the literature. You see them in your computer output. You add them to your reports.

You even (kinda) understand them!

Or, maybe, not quite?

Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of the how and why of various ratios we use often in statistical practice.

Which ones you ask? How about:

  • Coefficient of determination
  • Coefficient of variation
  • Correlation coefficient
  • Hazard ratio
  • Likelihood ratio
  • Odds ratio
  • Relative risk ratio
  • Variance inflation factor
  • Elaine takes some time during the event to show examples of some of the ratios “at work.”

    MAY 25, 2018: AN INTRODUCTION TO BAYESIAN LOGIC

    Unlike Frequentist statistics, in which we assume we know nothing about phenomena until we sample and test it, Bayesian statistics allow us to take into account information we already know in our analysis and our conclusions.

    Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of Bayesian thought and techniques. Emphasis will be on applications to diagnostic tests and genetics.

    FEBRUARY 7, 2018: POWER ANALYSIS FOR SAMPLE SIZE – A BRIEF YET USEFUL OVERVIEW

    Want to know how to find the right sample size for your study? Too few subjects and you’ll waste time. Too many subjects and you’ll waste time and money!

    Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of power analysis techniques for determining sample size (a priori techniques). Elaine will take some time during the event to work examples in GPower software.

    NOVEMBER 8, 2017: RESEARCH DESIGN, RESEARCH METHOD: WHAT’S THE DIFFERENCE?

    You’ve developed some possible study questions and are well into your literature review. It is time to start building your study “for reals”.

    The next step will be to define your research design and research method. What design should you use to best inform your research? What method would work best with what you have available? What is the dang difference between design and method? (Oh yes, there is a difference).

    Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of the types of research designs and methods which are the foundation of building a solid structure for collecting, analyzing, and interpreting your research.

    SEPTEMBER 6, 2017: CHARTING YOUR COURSE: NAVIGATING THE LITERATURE REVIEW

    A thorough and solid literature review should be your first step in designing a study. Join Elaine Eisenbeisz of Omega Statistics as she shares the tips and tools for navigating the literature review.

    JUNE 15, 2016: BACK-TO-BASICS III: P-VALUES AND EFFECT SIZES

    Contrary to popular opinion, the p-value is not the most important way, and in many cases not the best way, to support a study’s findings. Find out why effect sizes ARE important to research and why they are becoming more so.

    FEBRUARY 17, 2016: BACK-TO-BASICS II: RESEARCH QUESTIONS, HYPOTHESES, AND INFERENCE

    In Back-to-Basics I, you learned the Why. Now understand the How. Elaine will present the processes of statistics as relates to the Scientific Method. This webinar is a must-see if you struggle with concepts of hypothesis testing and inference.

    JANUARY 20, 2016: BACK-TO-BASICS I: PARAMETERS, STATISTICS, AND CONFIDENCE INTERVALS

    Why Statistics? Statistics are just guesses. Good guesses, if applied properly. Learn the value of, and limitations of, statistics in application. Elaine will also explain what some of those pesky statistics terms mean in the real world.

    JUNE, 2015: CHI SQUARE AND FRIENDS: FUN WITH CONTINGENCY TABLES

    Wondering what to do with those categorical variables? Please join Elaine Eisenbeisz of Omega Statistics as she introduces you to chi-square and similar tests of association using contingency tables. She will also cover the use of contingency tables involving repeated measures.

    JANUARY, 2015: OVERVIEW OF LOGISTIC REGRESSION

    Logistic Regression is something every researcher should have in his or her statistics toolbox.

    Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of logistic regression. Learn how to code your data properly, check your assumptions for analysis, and how to understand and use odds ratios and likelihoods.

    DECEMBER, 2014: OVERVIEW OF MULTIPLE REGRESSION

    Multiple Regression is one of the most informative data analysis techniques there is!

    Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of multiple regression using ordinary least squares techniques (OLS). Learn how to code your data properly, check your assumptions for analysis, and how to use a regression model to predict outcomes.

    OCTOBER, 2014: OVERVIEW OF CORRELATION ANALYSIS

    So many correlations, so little time!

    Join Elaine Eisenbeisz of Omega Statistics as she presents an overview of various correlational analysis techniques. Learn which correlation fits your data best. You will also learn how correlation, chi-squares, and t-tests are related!

    AUGUST, 2014: MULTIPLE IMPUTATION: A RIGHTEOUS APPROACH TO HANDLING MISSING DATA

    It will sound like cheating, but it isn’t. It’s so righteous dude! Multiple imputation (MI) is an effective and responsible way to handle data which is missing at random (MAR). You’ll find out what that means too…

    Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents an overview of MI concepts.

    FEBRUARY, 2014: GIGO NO-NO’S! PROBLEMS AND SOLUTIONS IN DATA PREPARATION

    Please join Elaine Eisenbeisz, Owner and Principal of Omega Statistics, as she presents a few tools and techniques for assuring your data entry and statistical analyses are in good form.

    JULY 2013: OVERVIEW OF RESEARCH DESIGNS

    You have an idea of what you want to do for your research, but where do you start with the analysis plan? Start with knowing about the types of research designs and their applications. Join Elaine Eisenbeisz of Omega Statistics as she presents a brief yet useful overview of study design.

    Join the Stats for the Masses mailing list to receive the “Stats Grab Bag” email with useful resources and links relating to the work I do each week. I like to think of it as tidbits from practice. You’ll never know what you’ll get, but it could be just what you need!

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