Overview

Analysis of Research Data

“Fake” Data Generation

Analysis and Comparison

Research Data

• 24 sites• Trapped over 1 month• Covariates:

– Temporal • Moon phase

– Spatial• Vegetation• Moisture• Bare ground

• Statistics needed:– Capture probability by night– Effect of moon phase on capture probability– Effect of spatial covariates on abundance

Data GenerationSample Poisson for true abundance

Apply capture probability individual by night Moon effect

AbundanceSpatial effect

Capture history for a siteTE

Heterogeneity of trap response

Goals of Data Generation

• To create a history of deer mice captures for 24 plots with a known true abundance known spatial impacts on total abundance and know effect of temporal considerations on capture probability

• Apply a treatment effect to half of the sites– 5%– 25%– 50%

AnalysisCapture Histories

Basic Analysis

Hierarchical AnalysisRMark

T Test and CI

CI width, Estimated mean, Deviance from true mean

Hierarchical Analysis

Loop

Distribution of statistics for each analysis

Goals of Analysis

• Generate distributions of statistics generated by each analysis and compare.

• Determine whether there is a difference between the results of each type of analysis

• Determine which analysis produces results closer to the truth