Statistics
GLEC researchers are expert at addressing complex environmental
problems through applied statistics, biostatistics, and GIS based
spatial statistics.
Examples of applied statistics include:
- Identifying relevant patterns, such as the decline in maximum
abundance of a species associated with increasing concentrations
of a pollutant
- Testing hypotheses, such as contamination effects on species
reproduction compared to reference sites
- Developing predictive models, such as the formula for projecting
bioaccumulation of a metal in animal tissues
Rigorous statistical methods
are used in toxicity
assays, environmental
surveys, and modeling
exercises. Statistical
expertise includes:
- Design and analysis of laboratory toxicity assays, including
probit, logistic, and nonlinear regression, survival analysis,
ANOVA, and mixed-effects models
- Design and analysis of environmental surveys - sampling design
and estimation methods
- Estimates of adequate sample sizes - power analyses
- GIS based geostatistical analysis and interpolation
Monte Carlo simulations to address variability and uncertainty
Contact: Doug Endicott, Principal Research Scientist
Click to Email 231-941-2230
