Model statistics for Bayesian spatio–temporal covariate models evaluating county–level RMSF prevalence in four central Midwestern states (Kansas, Missouri, Arkansas, Oklahoma), United States of America.

J Data Sci

Hierarchical Bayes models have been used in disease mapping to examine small scale geographic variat...

Multivariate Fay-Herriot Hierarchical Bayesian Estimation of Small Area means under Functional Measurement Error

Serena Arima
William R. Bell
Gauri S. Datta
Carolina Franco
Brunero Liseo

January 2017

Area level models, such as the Fay–Herriot model, aim to improve direct survey estimates for small a...

Relative habitat suitability model evaluation statistics among 11 modeling regions.

Jeffrey R. Dunk (2903273)
Brian Woodbridge (6204731)
Nathan Schumaker (3273678)
Elizabeth M. Glenn (6204734)
Brendan White (6204737)
David W. LaPlante (6204740)
Robert G. Anthony (2907647)
Raymond J. Davis (5587604)
Karl Halupka (6204743)
Paul Henson (6204746)
Bruce G. Marcot (843580)
Michele Merola-Zwartjes (6204749)
Barry R. Noon (578082)
Martin G. Raphael (3183291)
Jody Caicco (6204752)
Dan L. Hansen (6204755)
Mary Jo Mazurek (6204758)
James Thrailkill (6204761)

January 2019

Relative habitat suitability model evaluation statistics among 11 modeling regions.</p

Bayesian Skyline plots for the county-level regional models

Daniel Magee (3225174)

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BSPs for the Midwest, Northeast, South, and West regional county-level aggregation

County–specific Bayesian smoothed estimates (posterior median) of Rocky Mountain spotted fever prevalence for the study period between years 2005–2014.

Ram K. Raghavan (592049)
Douglas G. Goodin (592051)
Daniel Neises (592050)
Gary A. Anderson (2549620)
Roman R. Ganta (282367)

March 2016

County–specific Bayesian smoothed estimates (posterior median) of Rocky Mountain spotted fever pr...

all covariates for predictions

Laramy S. Enders (3315531)
Trevor J. Hefley (3267831)
John J. Girvin (5209607)
Jeff Whitworth (5209610)
Michael Smith (26855)

May 2018

Spatio-temporal covariates used to make predictive maps across the state of Kansas

Model statistics from two spatio-temporal models evaluating striped skunk rabies incidence in Kansas, Nebraska in the Northern Plains, USA.

Ram K. Raghavan (592049)
Cathleen A. Hanlon (252004)
Douglas G. Goodin (592051)
Rolan Davis (2634511)
Michael Moore (33431)
Susan Moore (38313)
Gary A. Anderson (2549620)

April 2016

Model statistics from two spatio-temporal models evaluating striped skunk rabies incidence in Kan...

Results of model parameters (in the log odds scale) for STH prevalence in Mindanao, Philippines, based on Bayesian geostatistical logistic regression models.

Ricardo J. Soares Magalhães (157571)
Maria S. Salamat (795751)
Lydia Leonardo (795752)
Darren J. Gray (172051)
Hélène Carabin (62192)
Kate Halton (795753)
Donald P. McManus (172118)
Gail M. Williams (64281)
Pilarita Rivera (795754)
Ofelia Saniel (795755)
Leda Hernandez (795756)
Laith Yakob (259903)
Stephen T. McGarvey (87738)
Archie C. A. Clements (218283)

September 2015

Results of model parameters (in the log odds scale) for STH prevalence in Mindanao, Philippines, ...

Models for US Lake States region created using random forests analysis with explanatory variables listed in order of importance predicted by the models.

Stephanie R. Patton (5679623)
Matthew B. Russell (5679626)
Marcella A. Windmuller-Campione (3092634)
Lee E. Frelich (2903687)

August 2018

Models for US Lake States region created using random forests analysis with explanatory variables li...

Distributions of counties with 0, 1, 2, …, ≥20 COVID-19 deaths with simulated data from the fitted Bayesian model and observed data by three model assumptions of the prior distribution for suppressed death counts.

Szu-Yu Zoe Kao (13923224)
M. Shane Tutwiler (13268924)
Donatus U. Ekwueme (13923245)
Benedict I. Truman (13041121)

August 2023

Distributions of counties with 0, 1, 2, …, ≥20 COVID-19 deaths with simulated data from the fitted B...

Precentage of study locations with LF prevalence falling in the 5%, 25%, 50%, 75% and 95% Bayesian credible intervals for the geostatistical models without and with covariates.

Hannah Slater (182928)
Edwin Michael (70470)

August 2013

Precentage of study locations with LF prevalence falling in the 5%, 25%, 50%, 75% and 95% Bayesia...

Topics in objective bayesian methodology and spatio-temporal models

Dai, Luyan, 1981-

The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...

Best fits for various models to US data at the county level of aggregation and the best fit for the MK model at the state level.

James Truscott (126030)
Neil M. Ferguson (30575)

October 2012

Log likelihoods are quoted relative to that of the saturated model. County-level saturated model ...

Investigation of Bayesian spatial models

Cramb, S.M.
Duncan, E.W.
Baade, P.D.
Mengersen, K.L.

January 2018

The popularity of Bayesian disease mapping is increasing, as is the variety of available models. The...

Printed in Great Britain Generalized common spatial factor model

Fujun Wang
Melanie M. Wall

December 2014

There are often two types of correlations in multivariate spatial data: correlations between variabl...

J Data Sci

Hierarchical Bayes models have been used in disease mapping to examine small scale geographic variat...

Multivariate Fay-Herriot Hierarchical Bayesian Estimation of Small Area means under Functional Measurement Error

Serena Arima
William R. Bell
Gauri S. Datta
Carolina Franco
Brunero Liseo

January 2017

Area level models, such as the Fay–Herriot model, aim to improve direct survey estimates for small a...

Relative habitat suitability model evaluation statistics among 11 modeling regions.

Jeffrey R. Dunk (2903273)
Brian Woodbridge (6204731)
Nathan Schumaker (3273678)
Elizabeth M. Glenn (6204734)
Brendan White (6204737)
David W. LaPlante (6204740)
Robert G. Anthony (2907647)
Raymond J. Davis (5587604)
Karl Halupka (6204743)
Paul Henson (6204746)
Bruce G. Marcot (843580)
Michele Merola-Zwartjes (6204749)
Barry R. Noon (578082)
Martin G. Raphael (3183291)
Jody Caicco (6204752)
Dan L. Hansen (6204755)
Mary Jo Mazurek (6204758)
James Thrailkill (6204761)

January 2019

Relative habitat suitability model evaluation statistics among 11 modeling regions.</p

Bayesian Skyline plots for the county-level regional models

Daniel Magee (3225174)

March 2017

BSPs for the Midwest, Northeast, South, and West regional county-level aggregation

County–specific Bayesian smoothed estimates (posterior median) of Rocky Mountain spotted fever prevalence for the study period between years 2005–2014.

Ram K. Raghavan (592049)
Douglas G. Goodin (592051)
Daniel Neises (592050)
Gary A. Anderson (2549620)
Roman R. Ganta (282367)

March 2016

County–specific Bayesian smoothed estimates (posterior median) of Rocky Mountain spotted fever pr...

all covariates for predictions

Laramy S. Enders (3315531)
Trevor J. Hefley (3267831)
John J. Girvin (5209607)
Jeff Whitworth (5209610)
Michael Smith (26855)

May 2018

Spatio-temporal covariates used to make predictive maps across the state of Kansas

Model statistics from two spatio-temporal models evaluating striped skunk rabies incidence in Kansas, Nebraska in the Northern Plains, USA.

Ram K. Raghavan (592049)
Cathleen A. Hanlon (252004)
Douglas G. Goodin (592051)
Rolan Davis (2634511)
Michael Moore (33431)
Susan Moore (38313)
Gary A. Anderson (2549620)

April 2016

Model statistics from two spatio-temporal models evaluating striped skunk rabies incidence in Kan...

Results of model parameters (in the log odds scale) for STH prevalence in Mindanao, Philippines, based on Bayesian geostatistical logistic regression models.

Ricardo J. Soares Magalhães (157571)
Maria S. Salamat (795751)
Lydia Leonardo (795752)
Darren J. Gray (172051)
Hélène Carabin (62192)
Kate Halton (795753)
Donald P. McManus (172118)
Gail M. Williams (64281)
Pilarita Rivera (795754)
Ofelia Saniel (795755)
Leda Hernandez (795756)
Laith Yakob (259903)
Stephen T. McGarvey (87738)
Archie C. A. Clements (218283)

September 2015

Results of model parameters (in the log odds scale) for STH prevalence in Mindanao, Philippines, ...

Models for US Lake States region created using random forests analysis with explanatory variables listed in order of importance predicted by the models.

Stephanie R. Patton (5679623)
Matthew B. Russell (5679626)
Marcella A. Windmuller-Campione (3092634)
Lee E. Frelich (2903687)

August 2018

Models for US Lake States region created using random forests analysis with explanatory variables li...

Distributions of counties with 0, 1, 2, …, ≥20 COVID-19 deaths with simulated data from the fitted Bayesian model and observed data by three model assumptions of the prior distribution for suppressed death counts.

Szu-Yu Zoe Kao (13923224)
M. Shane Tutwiler (13268924)
Donatus U. Ekwueme (13923245)
Benedict I. Truman (13041121)

August 2023

Distributions of counties with 0, 1, 2, …, ≥20 COVID-19 deaths with simulated data from the fitted B...

Precentage of study locations with LF prevalence falling in the 5%, 25%, 50%, 75% and 95% Bayesian credible intervals for the geostatistical models without and with covariates.

Hannah Slater (182928)
Edwin Michael (70470)

August 2013

Precentage of study locations with LF prevalence falling in the 5%, 25%, 50%, 75% and 95% Bayesia...

Topics in objective bayesian methodology and spatio-temporal models

Dai, Luyan, 1981-

The entire dissertation/thesis text is included in the research.pdf file; the official abstract appe...

Best fits for various models to US data at the county level of aggregation and the best fit for the MK model at the state level.

James Truscott (126030)
Neil M. Ferguson (30575)

October 2012

Log likelihoods are quoted relative to that of the saturated model. County-level saturated model ...

Investigation of Bayesian spatial models

Cramb, S.M.
Duncan, E.W.
Baade, P.D.
Mengersen, K.L.

January 2018

The popularity of Bayesian disease mapping is increasing, as is the variety of available models. The...

Printed in Great Britain Generalized common spatial factor model

Fujun Wang
Melanie M. Wall

December 2014

There are often two types of correlations in multivariate spatial data: correlations between variabl...

J Data Sci

Hierarchical Bayes models have been used in disease mapping to examine small scale geographic variat...

Multivariate Fay-Herriot Hierarchical Bayesian Estimation of Small Area means under Functional Measurement Error

Serena Arima
William R. Bell
Gauri S. Datta
Carolina Franco
Brunero Liseo

January 2017

Area level models, such as the Fay–Herriot model, aim to improve direct survey estimates for small a...

Relative habitat suitability model evaluation statistics among 11 modeling regions.

Jeffrey R. Dunk (2903273)
Brian Woodbridge (6204731)
Nathan Schumaker (3273678)
Elizabeth M. Glenn (6204734)
Brendan White (6204737)
David W. LaPlante (6204740)
Robert G. Anthony (2907647)
Raymond J. Davis (5587604)
Karl Halupka (6204743)
Paul Henson (6204746)
Bruce G. Marcot (843580)
Michele Merola-Zwartjes (6204749)
Barry R. Noon (578082)
Martin G. Raphael (3183291)
Jody Caicco (6204752)
Dan L. Hansen (6204755)
Mary Jo Mazurek (6204758)
James Thrailkill (6204761)

January 2019

Relative habitat suitability model evaluation statistics among 11 modeling regions.</p

Model statistics for Bayesian spatio–temporal covariate models evaluating county–level RMSF prevalence in four central Midwestern states (Kansas, Missouri, Arkansas, Oklahoma), United States of America.

Abstract

Extracted data

Model statistics for Bayesian spatio–temporal covariate models evaluating county–level RMSF prevalence in four central Midwestern states (Kansas, Missouri, Arkansas, Oklahoma), United States of America.

Abstract

Extracted data

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