Simulate and Evaluate Time Series for Environmental Epidemiology
Fit a generalized linear model
Simulate exposure data using default methods
Percent Bias of Estimated Coefficient
Standard Deviation of Estimated Coefficients
Create a binary exposure trend vector
Simulate binary exposure data
Create a continuous exposure trend vector
Create calendar plot
Assess model performance
Simulate continuous exposure data
Empirical coverage of confidence intervals
Plot coverage of empirical confidence intervals
Create a series of baseline outcomes
Create a series of mean outcome values
Create simulated data for many repetitions
Pull smoothed Chicago NMMAPS health outcome data
Pull exposure series from data set
Simulate data, fit models, and assess models
Fit a model to simulated datasets
Format output for custom model to use in eesim
Average Estimated Coefficient
Estimate power
Power Calculations
Expected baseline health outcomes
Simulate time series of exposure values
Simulate outcome
Provides functions to create simulated time series of environmental exposures (e.g., temperature, air pollution) and health outcomes for use in power analysis and simulation studies in environmental epidemiology. This package also provides functions to evaluate the results of simulation studies based on these simulated time series. This work was supported by a grant from the National Institute of Environmental Health Sciences (R00ES022631) and a fellowship from the Colorado State University Programs for Research and Scholarly Excellence.