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 the following statistical consulting services for undergraduate and graduate students at $100/hour. Secure checkout is available with Stripe, Venmo, Zelle, or PayPal.
- Statistical Analysis
- Research Design
- Sample Size Calculations
- Diagnostic Testing and Epidemiological Calculations
- Survey Design and Psychometrics