Madsen, L., Dalthorp, D., Huso, M.M.P., Aderman, A. (2020) Estimating Population Size with Imperfect Detection Using a Parametric Bootstrap, Environmetrics

Brintz, B., Fuentes, C., and Madsen, L. (2018) An Asymptotic Approximation to the N-mixture Model for the Estimation of Disease Prevalence, Biometrics

Groom, J.D., Madsen, L.J, Jones, J.E., and Giovanini, J.N. (2018) Informing changes to riparian forestry rules with a Bayesian hierarchical model, Forest Ecology and Management 419, 17-30

Ossiander, M., Peszynska, M., Madsen, L., Muir, A., and Harbert, W. (2017) Estimation and simulation for geospatial porosity and permeability data, Environmental and Ecological Statistics 24(1), 109-130

Huso, M.M.P., Dalthorp, D., Dail D., and Madsen, L. (2015). Estimating turbine-caused bird and bat fatality when zero carcasses are observed, Ecological Applications 25(5), 1213-1225

Fang, Y., Madsen, L., and Liu, L. (2014) Comparison of Two Methods to Check Copula Fitting, International Journal of Applied Mathematics 44(1), 53-61.

Fang, Y. and Madsen, L. (2013) Modifed Gaussian pseudo-copula: Applications in insurance and finance, Insurance: Mathematics and Economics 53, 292-301

Dail, D. and Madsen, L. (2013) Estimating open population site occupancy from presence-absence data lacking the robust design, Biometrics 69(1), 146-156

Madsen, L. and Birkes, D. (2013) Simulating dependent discrete data, Journal of Statistical Computation and Simulation 83(4), 677-691 (Example R code).

Groom, J., Dent, L., Madsen, L., and Fleuret, J. (2011) Response of western Oregon (USA) stream temperatures to contemporary forest management, Forest Ecology and Management 262(8), 1618-1629

Madsen, L. and Fang, Y. (2011) Joint Regression Analysis for Discrete Longitudinal Data, Biometrics 67(3), 1171-1175

Dail, D. and Madsen, L. (2011) Models for Estimating Abundance from Repeated Counts of an Open Metapopulation, Biometrics 67(2), 577-587 (Supplemental materials)

Eskelson, Bianca N.I., Madsen, L., Hagar, J., and Temesgen, H. (2011) Estimating riparian understory vegetation cover with beta regression and copula models, Forest Science 57(3), 212-221

Groom, J., Dent, L., and Madsen, L. (2011) Stream temperature change detection for state and private forests in the Oregon Coast Range, Water Resources Research 47(1)

Madsen, L. (2009), Maximum Likelihood Estimation of Regression Parameters with Spatially Dependent Discrete Data, Journal of Agricultural, Biological, and Environmental Statistics 14(4), 375-391.

Madsen, L., Ruppert, D., and Altman, N.S. (2008), Regression with Spatially Misaligned Data, Environmetrics 19(5), 453-467 (Correction)

Madsen, L. and Dalthorp, D. (2007), Simulating Correlated Count Data, Environmental and Ecological Statistics 14(2), 129-148.