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    Research Engineer makes applied research and statistics easier

    Research Engineer is designed to get you to the correct research question, research design, sample size, database, and statistical test

    Based on your decisions to the questions presented, you will get to right place

    A few words on what I'm doing on here. I am a biostatistician, methodologist, psychometrician, and counselor. Everyday, the incredibly intelligent people I work with including physicians, residents, fellows, staff, and faculty feel anxiety when it comes to statistics and research. Research has shown that statistics can induce cognitive dissonance in an individual due to limited experiences and competencies. The collective unconscious has sequestered statistics and research into a dark corner and that's scary.

    Research and statistics are the methods by which we, as scientists, analyze, synthesize, and evaluate our research findings in a manner that can be generalized to the appropriate audience. If our methods for communicating research findings causes cognitive dissonance, just because it relates to research and statistics, then how can one ever really be able to generalize the clinical literature and integrate it into clinical practice?

    After seven years of being the one to induce cognitive dissonance in others related to research and statistics, I decided to make a useful tool for students and researchers that could alleviate some of the feelings of anxiety associated with research and statistics. I built Research Engineer.

    Research Engineer is designed to get you to the correct research question, research design, sample size, database, statistical test, evidence-based medicine intervention, diagnostic calculation, epidemiological calculation, variables, surveys, psychometrics, and educational framework to answer your current question (and future questions). 

    I am trying to bring research and statistics out of the collective unconscious and into the conscious mind where it can be effectively communicated among researchers, scientists, and students by creating this decision engine. It is easy to get to the correct research or statistical component, just answer the questions that I present you in the webpages and click on the buttons with your answer in them. Also, the step-by-step methods for conducting and interpreting each statistical test in SPSS are presented on their respective webpages. 

    You can also contact me via phone, social media, and email at any time in you have questions. If you need some help conducting statistics for a research project, I have eight years of experience across thousands of individual projects and I would love to help you on your study.  We can negotiate prices if you are an undergraduate or graduate researcher. 

    In conclusion, Research Engineer makes choosing research methods and statistical tests MUCH EASIER. Just answer the questions embedded in the various decision engines and get to the correct method or test, EVERY TIME.

    Thanks for your continued support, dear friends and colleagues. And many thanks and salutations to the individuals that use Research Engineer. I am honored and humbled to have this great opportunity to create a very useful and unique website. You all are the ones that make it shine!

    ​Sincerely,

    R. Eric Heidel, Ph.D.
    Assistant Professor of Biostatistics
    ​Affiliate Professor of Biomedical Engineering
    Department of Surgery
    Office of Medical Education, Research, and Development
    University of Tennessee Graduate School of Medicine
    Owner and Operator, Scale, LLC
  • Published on

    Number Needed to Treat is an important epidemiological calculation

    Efficacious treatment effects

    The magnitude of a positive treatment effect

    Number Needed to Treat (NNT) is an important epidemiological calculation that shows how many people have to be treated to preventing a future bad outcome. In a perfect situation, the NNT would be 1, meaning that every person that you treat will not get the bad outcome in the future.

    NNT is calculated using other epidemiological calculations:

    Control Event Rate (CER) - Proportion of the control group with the outcome
    Experimental Event Rate (EER) - Proportion of the treatment group with the outcome
    |CER - EER| is the Absolute Risk Reduction (ARR) or the effect of the treatment in comparison to a control treatment.
    Then, in order to calculate NNT, just use (1/ARR).  

    With smaller values of ARR, or small treatment effects, the NNT will increase meaning that more people have to be treated to prevent a future bad outcome. Higher values of ARR show a strong treatment effect, fewer people will have to be treated to prevent a bad outcome because it is so efficacious.
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    Research Engineer is the world's first online decision tree for applied research and statistics

    Fully automated and freely accessible to researchers around the world

    The first interactive decision tree that integrates statistical assumptions and post hoc analyses

    Research Engineer is going to be presented for the first time in a public forum next Tuesday. I'm pretty excited to let all of my colleagues know what I've been up to these past five months. I realized earlier today that Research Engineer has completely changed my life for the better. And I'm so thankful to all of those that have supported me along the way.

    And to visitors of this website, I extend my most gracious and humble thanks for your patronage. The website will continue to grow and help you in all of your future empirical endeavors.

    I have built the world's first online decision engine for research questions, research designs, statistics, statistical power, databases, evidence-based medicine, survey design, psychometrics, epidemiology, diagnostic testing, variables, and education. I look forward to the future!