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Related Experiment Videos

Analysis of data with excess zeros.

Peter A Lachenbruch1

  • 1FDA Center for Biologics Research and Review, Office of Biostatistics and Epidemiology, Rockville, MD, USA.

Statistical Methods in Medical Research
|August 29, 2002
PubMed
Summary
This summary is machine-generated.

This study introduces two-part models as a valuable statistical alternative. Research indicates these models offer comparable size and power to traditional t-tests and Wilcoxon tests.

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Area of Science:

  • Statistics
  • Biostatistics

Background:

  • Introduces a collection of papers on two-part statistical models.
  • Presented at the 2000 Joint Statistical Meetings.

Purpose of the Study:

  • To introduce two-part statistical models.
  • To evaluate the size and power of two-part models.

Main Methods:

  • Summarizes study results on two-part model performance.
  • Compares two-part models to t-tests and Wilcoxon tests.

Main Results:

  • Two-part models demonstrate effective size and power.
  • Performance is comparable to established statistical tests.

Conclusions:

  • Two-part models are a viable alternative to t-tests and Wilcoxon tests.
  • Recommends two-part models for statistical analysis.