Dr. Eric Heidel is an Accredited Professional Statistician for Hire

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Eric Heidel, PhD PStat is Accredited Professional Statistician with 18 years of statistical consultation experience that you can hire to perform statistics for your research project. Dr. Heidel is a Professor of Biostatistics in the Department of Surgery and Director of the Office of Biostatistics and Research Consultation at the University of Tennessee Graduate School of Medicine in Knoxville, TN. He is also an Accredited Professional Statistician, a credential awarded by the American Statistical Association (ASA) that recognizes professional and ethical practice associated the use of statistics. He has provided professional statistical consultation services to thousands of clients around the world, including graduate students working on dissertations, nursing graduate students working on DNP Capstone projects, medical residents, fellows, and physicians, and businesses. Please use the contact form below to contact Dr. Heidel for a free 30-minute consultation regarding your statistical consulting needs. Thank you for your interest in statistical consultation!

Contact Dr. Eric Heidel for a free 30-minute statistical consultation!

All of your personal information will be kept confidential and Dr. Heidel will NEVER sell your personal information to third parties.
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Research Engineer is a free online decision tree for applied research and statistics

Research Engineer is an online decision tree that guides students and researchers to the correct research methods and statistical tests, given their research questions. A series of questions and responses are presented in each decision engine. Researchers are navigated to the correct methods and statistics based upon their responses. Decision trees are available for research questions, research designs, statistical power, sample size calculations, evidence-based medicine, epidemiology, diagnostic testing, variables, statistics, databases, surveys, psychometrics, and education. Click on a button below to get started!

Decision trees available in Research Engineer

Formulate and refine research questions using the FINER and PICO frameworks.
Choose the correct research design to answer a research question.
Understand the implications of effect size, sample size, measurement, and research design on statistical power.
Calculate the needed sample size for ten different statistical tests using G*Power.
Apply the five components of evidence-based medicine: ​Asking, acquiring, appraising, applying, and assessing. 
Calculate diagnostic testing measures like sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).
Apply epidemiological calculations like odds ratios, relative risk, number needed to treat (NNT), and number needed to harm (NNH).  
Learn more about the scales of measurement, different types of variables, and the impact of measurement on statistical power.
Choose the correct statistics to answer research questions and learn how to conduct and interpret statistics in SPSS.
Download databases that are formatted for between-subjects, within-subjects, mixed-effects, survival, and multivariate designs.
Create a new survey instrument using an empirically validated methodology.  
Choose the correct psychometrics to answer research questions and learn how to conduct and interpret psychometrics in SPSS and AMOS.
Write instructional goals and objectives using Bloom's Taxonomy, learn more about Maslow's Hierarchy of Needs, and access a dictionary of research and statistical terminology.  
Purchase statistical consultation from Dr. Eric Heidel, Owner and Operator of Research Engineer.
The Statistical Forum is the official blog of Research Engineer and is focused on applied research and statistics.
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