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Analyzing Heaped Counts Versus Longitudinal Presence/Absence Data in Joint Zero-inflated Discrete Regression Models

Sociological methods & research, 2021-05, Vol.50 (2), p.567-596

2021

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Wildfire Prediction to Inform Fire Management: Statistical Science Challenges

Statistical science, 2013-11, Vol.28 (4), p.586-615

2013

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A Case-Crossover Study of the Impact of the Modifying Industrial Operations Protocol on the Frequency of Industrial Forestry-Caused Wildland Fires in Ontario, Canada

Journal of agricultural, biological, and environmental statistics, 2023-06, Vol.28 (2), p.219-242

2023

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Generalized linear mixed models: a review and some extensions

Lifetime data analysis, 2007-12, Vol.13 (4), p.497-512

2007

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A methodology for investigating trends in changes in the timing of the fire season with applications to lightning-caused forest fires in Alberta and Ontario, Canada

Canadian journal of forest research, 2013-01, Vol.43 (1), p.39-45

2013

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Spatial statistical tools for genome-wide mutation cluster detection under a microarray probe sampling system

PloS one, 2018-09, Vol.13 (9), p.e0204156

2018

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The consequences of proportional hazards based model selection

Statistics in medicine, 2014-03, Vol.33 (6), p.1042-1056

2014

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Short-term cancer mortality projections: A comparative study of prediction methods

Statistics in medicine, 2011-12, Vol.30 (29), p.3387-3402

2011

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Autoregressive Spatial Smoothing and Temporal Spline Smoothing for Mapping Rates

Biometrics, 2001-09, Vol.57 (3), p.949-956

2001

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Who is stressed? Comparing cortisol levels between individuals

American journal of human biology, 2012-07, Vol.24 (4), p.515-525

2012

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Inter-rater agreement on identification of electrographic seizures and periodic discharges in ICU EEG recordings

Clinical neurophysiology, 2015-09, Vol.126 (9), p.1661-1669

2015

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Spatio-temporal modelling of rates for the construction of disease maps

Statistics in medicine, 2002-02, Vol.21 (3), p.347-358

2002

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A discrete-time susceptible-infectious-recovered-susceptible model for the analysis of influenza data

Infectious disease modelling, 2023-06, Vol.8 (2), p.471-483

2023

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Testing for Overdispersion in Poisson and Binomial Regression Models

Journal of the American Statistical Association, 1992-06, Vol.87 (418), p.451-457

Dean, C. B.

1992

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Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimaging

Statistical methods in medical research, 2013-08, Vol.22 (4), p.398-423

2013

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Spatial Multistate Transitional Models for Longitudinal Event Data

Biometrics, 2008-03, Vol.64 (1), p.271-279

2008

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Joint Modeling of Zero-Inflated Panel Count and Severity Outcomes

Biometrics, 2017-12, Vol.73 (4), p.1413-1423

2017

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A computational framework for finding parameter sets associated with chaotic dynamics

In silico biology, 2021-05, Vol.14 (1-2), p.41-51

2021

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Approximate inference for disease mapping

Computational statistics & data analysis, 2006-06, Vol.50 (10), p.2552-2570

2006

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Detecting Interaction Between Random Region and Fixed Age Effects in Disease Mapping

Biometrics, 2001-03, Vol.57 (1), p.197-202

2001

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A comparison of classification algorithms for the identification of smoke plumes from satellite images

Statistical methods in medical research, 2011-04, Vol.20 (2), p.131-156

2011

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Case study 1: The effects of climate on the growth of lodgepole pine

Canadian journal of statistics, 2011-06, Vol.39 (2), p.183-184

2011

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Lightning-caused forest fire risk in Northwestern Ontario, Canada, is increasing and associated with anomalies in fire weather

Environmetrics (London, Ont.), 2014-09, Vol.25 (6), p.406-416

2014

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The use of mixture models for identifying high risks in disease mapping

Statistics in medicine, 2001-07, Vol.20 (13), p.2035-2049

2001

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Classification of Large-Scale Remote Sensing Images for Automatic Identification of Health Hazards: Smoke Detection Using an Autologistic Regression Classifier

Statistics in biosciences, 2017-12, Vol.9 (2), p.622-645

2017

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Analyzing Heaped Counts Versus Longitudinal Presence/Absence Data in Joint Zero-inflated Discrete Regression Models

Wildfire Prediction to Inform Fire Management: Statistical Science Challenges

A Case-Crossover Study of the Impact of the Modifying Industrial Operations Protocol on the Frequency of Industrial Forestry-Caused Wildland Fires in Ontario, Canada

Generalized linear mixed models: a review and some extensions

A methodology for investigating trends in changes in the timing of the fire season with applications to lightning-caused forest fires in Alberta and Ontario, Canada

Spatial statistical tools for genome-wide mutation cluster detection under a microarray probe sampling system

The consequences of proportional hazards based model selection

Short-term cancer mortality projections: A comparative study of prediction methods

Autoregressive Spatial Smoothing and Temporal Spline Smoothing for Mapping Rates

Who is stressed? Comparing cortisol levels between individuals

Inter-rater agreement on identification of electrographic seizures and periodic discharges in ICU EEG recordings

Spatio-temporal modelling of rates for the construction of disease maps

A discrete-time susceptible-infectious-recovered-susceptible model for the analysis of influenza data

Testing for Overdispersion in Poisson and Binomial Regression Models

Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimaging

Spatial Multistate Transitional Models for Longitudinal Event Data

Joint Modeling of Zero-Inflated Panel Count and Severity Outcomes

A computational framework for finding parameter sets associated with chaotic dynamics

Approximate inference for disease mapping

Detecting Interaction Between Random Region and Fixed Age Effects in Disease Mapping

A comparison of classification algorithms for the identification of smoke plumes from satellite images

Case study 1: The effects of climate on the growth of lodgepole pine

Lightning-caused forest fire risk in Northwestern Ontario, Canada, is increasing and associated with anomalies in fire weather

The use of mixture models for identifying high risks in disease mapping

Classification of Large-Scale Remote Sensing Images for Automatic Identification of Health Hazards: Smoke Detection Using an Autologistic Regression Classifier

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