Outcome variables
Choose the "gold standard" outcome that exists
An outcome variable is an event or metric that can be observed and measured in a valid fashion. Within applied statistics and research, outcome variables can be categorical (non-parametric statistics), ordinal (non-parametric statistics), or continuous (parametric statistics).
Predictor variables are chosen because there is a hypothesized association with the outcome variable. Confounding and control variables can mediate associations between predictor and outcome variables and should be taken into account, if at all possible.
It is extremely important to measure outcomes variables at the current "gold standard" level. Outcome variables increase the precision and accuracy of measurement (internal validity) and make study results more readily generalized into the clinical environment.
Predictor variables are chosen because there is a hypothesized association with the outcome variable. Confounding and control variables can mediate associations between predictor and outcome variables and should be taken into account, if at all possible.
It is extremely important to measure outcomes variables at the current "gold standard" level. Outcome variables increase the precision and accuracy of measurement (internal validity) and make study results more readily generalized into the clinical environment.
Hire A Statistician
DO YOU NEED TO HIRE A STATISTICIAN?
Eric Heidel, Ph.D., PStat will provide you with statistical consultation services for your research project at $100/hour. Secure checkout is available with Stripe, Venmo, Zelle, or PayPal.
- Statistical Analysis on any kind of project
- Dissertation and Thesis Projects
- DNP Capstone Projects
- Clinical Trials
- Analysis of Survey Data