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Eric Heidel, PhD PStat - Statistician For Hire

Eric Heidel, PhD PStat is an Accredited Professional Statistician that you can hire to perform statistics for your research study.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-23T11:36:52.847Z. Cached copy · Source on scalestatistics.com

# Eric Heidel, PhD PStat - Statistician For Hire

> Eric Heidel, PhD PStat is an Accredited Professional Statistician that you can hire to perform statistics for your research study.

## Pages
- [A Data Dictionary Contains Information on Variables Entered Into a Database](https://www.scalestatistics.com/data-dictionary): A data dictionary contains important information about variables and data entered into a research database. Download a free data dictionary for your database.
- [A One-Sided Hypothesis States A Directional Treatment Effect](https://www.scalestatistics.com/one-sided-hypothesis): A one-sided hypothesis is considered when researchers believe that treatment effects will go in a certain direction as a result of treatment.
- [A Pilot Study is Conducted to Establish an Effect Size](https://www.scalestatistics.com/pilot-study): A pilot study is conducted to establish an effect size for sample size calculations, as well as for hypothesis generation and studying rare outcomes.
- [A Treatment Effect can be Efficacious or Detrimental](https://www.scalestatistics.com/treatment-effect): Treatment effects can be either efficacious or detrimental. The treatment effect determines the use of absolute risk reduction or absolute risk increase.
- [A Two-Sided Hypothesis States The Treatment Effect is Not Directional](https://www.scalestatistics.com/two-sided-hypothesis): A two-sided hypothesis is considered when researchers believe that treatment effects can go in either direction. This hypothesis is considered more rigorous.
- [A Type I Error Occurs When The Null Hypothesis is Rejected When It Should Not be Rejected](https://www.scalestatistics.com/type-i-error): A type I error occurs when the null hypothesis is rejected, when it should not be rejected. A type I error is also known a false positive in hypothesis testing.
- [A Type II Error Occurs When The Null Hypothesis Is Not Rejected and It Should be Rejected](https://www.scalestatistics.com/type-ii-error): A type II error is when the null hypothesis is not rejected, when it should be rejected. A type II error is also known as a false negative in hypothesis testing.
- [A Type III Error Occurs When Statistics Are Used to Answer The Wrong Question](https://www.scalestatistics.com/type-iii-error): A Type III error occurs when a statistical test is used to answer the wrong research question. Type III errors often occur as a result of miscommunication.
- [Absolute Risk Increase is The Magnitude of a Detrimental Treatment Effect](https://www.scalestatistics.com/absolute-risk-increase): Absolute Risk Increase (ARI) is used for detrimental treatments and is the absolute difference between the experimental event rate and the control event rate.
- [Absolute Risk Reduction is The Magnitude of an Efficacious Treatment Effect](https://www.scalestatistics.com/absolute-risk-reduction): Absolute Risk Reduction (ARR) is used for efficacious treatments and is the absolute difference between the control event rate
…

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