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1
Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies
Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies
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Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies

Biometrics, 2008-06, Vol.64 (2), p.377-385 [Peer Reviewed Journal]

Copyright 2008 The International Biometric Society ;2008, The International Biometric Society ;2008, International Biometric Society ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2007.00927.x ;PMID: 17970815 ;CODEN: BIOMA5

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2
Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals
Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals
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Recruitment prediction for multicenter clinical trials based on a hierarchical Poisson–gamma model: Asymptotic analysis and improved intervals

Biometrics, 2022-06, Vol.78 (2), p.636-648 [Peer Reviewed Journal]

2021 The Authors. published by Wiley Periodicals LLC on behalf of International Biometric Society. ;2021 The Authors. Biometrics published by Wiley Periodicals LLC on behalf of International Biometric Society. ;2021. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/biom.13447 ;PMID: 33604911

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3
Diagnosing Misspecification of the Random-Effects Distribution in Mixed Models
Diagnosing Misspecification of the Random-Effects Distribution in Mixed Models
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Diagnosing Misspecification of the Random-Effects Distribution in Mixed Models

Biometrics, 2017-03, Vol.73 (1), p.63-71 [Peer Reviewed Journal]

Copyright © 2017 International Biometric Society ;2016, The International Biometric Society ;2016, The International Biometric Society. ;2017, The International Biometric Society ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/biom.12551 ;PMID: 27377556 ;CODEN: BIOMA5

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4
Estimating Function Approach to Inference for Inhomogeneous Neyman-Scott Processes
Estimating Function Approach to Inference for Inhomogeneous Neyman-Scott Processes
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Estimating Function Approach to Inference for Inhomogeneous Neyman-Scott Processes

Biometrics, 2007-03, Vol.63 (1), p.252-258 [Peer Reviewed Journal]

Copyright 2007 The International Biometric Society ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2006.00667.x ;PMID: 17447951 ;CODEN: BIOMA5

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5
Dependence Calibration in Conditional Copulas: A Nonparametric Approach
Dependence Calibration in Conditional Copulas: A Nonparametric Approach
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Dependence Calibration in Conditional Copulas: A Nonparametric Approach

Biometrics, 2011-06, Vol.67 (2), p.445-453 [Peer Reviewed Journal]

2011 International Biometric Society ;2010, The International Biometric Society ;2010, The International Biometric Society. ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2010.01472.x ;PMID: 20731648 ;CODEN: BIOMA5

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6
Use of Two‐Way Linear Mixed Models in Multitreatment Meta‐Analysis
Use of Two‐Way Linear Mixed Models in Multitreatment Meta‐Analysis
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Use of Two‐Way Linear Mixed Models in Multitreatment Meta‐Analysis

Biometrics, 2012-12, Vol.68 (4), p.1269-1277 [Peer Reviewed Journal]

2012 The International Biometric Society ;2012, The International Biometric Society ;2012, The International Biometric Society. ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2012.01786.x ;PMID: 22845838 ;CODEN: BIOMA5

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7
Incorporating Predictor Network in Penalized Regression with Application to Microarray Data
Incorporating Predictor Network in Penalized Regression with Application to Microarray Data
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Incorporating Predictor Network in Penalized Regression with Application to Microarray Data

Biometrics, 2010-06, Vol.66 (2), p.474-484 [Peer Reviewed Journal]

2010 The International Biometric Society ;2009, The International Biometric Society ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2009.01296.x ;PMID: 19645699 ;CODEN: BIOMA5

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8
Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data
Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data
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Variable Selection for Model-Based High-Dimensional Clustering and Its Application to Microarray Data

Biometrics, 2008-06, Vol.64 (2), p.440-448 [Peer Reviewed Journal]

Copyright 2008 The International Biometric Society ;2008, The International Biometric Society ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2007.00922.x ;PMID: 17970821 ;CODEN: BIOMA5

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9
Generalized Additive Modeling with Implicit Variable Selection by Likelihood‐Based Boosting
Generalized Additive Modeling with Implicit Variable Selection by Likelihood‐Based Boosting
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Generalized Additive Modeling with Implicit Variable Selection by Likelihood‐Based Boosting

Biometrics, 2006-12, Vol.62 (4), p.961-971 [Peer Reviewed Journal]

Copyright 2006 The International Biometric Society ;2006, The International Biometric Society ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2006.00578.x ;PMID: 17156269 ;CODEN: BIOMA5

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10
Bayesian Lasso for Semiparametric Structural Equation Models
Bayesian Lasso for Semiparametric Structural Equation Models
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Bayesian Lasso for Semiparametric Structural Equation Models

Biometrics, 2012-06, Vol.68 (2), p.567-577 [Peer Reviewed Journal]

The International Biometric Society 2012 ;2012, The International Biometric Society ;2012, The International Biometric Society. ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2012.01751.x ;PMID: 22376150 ;CODEN: BIOMA5

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11
Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
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Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data

Biometrics, 2006-06, Vol.62 (2), p.379-391 [Peer Reviewed Journal]

Copyright 2006 The International Biometric Society ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2005.00490.x ;PMID: 16918902 ;CODEN: BIOMA5

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12
Monte Carlo Methods for Nonparametric Regression with Heteroscedastic Measurement Error
Monte Carlo Methods for Nonparametric Regression with Heteroscedastic Measurement Error
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Monte Carlo Methods for Nonparametric Regression with Heteroscedastic Measurement Error

Biometrics, 2018-06, Vol.74 (2), p.498-505 [Peer Reviewed Journal]

Copyright © 2018 International Biometric Society ;2017, The International Biometric Society ;2017, The International Biometric Society. ;2018, The International Biometric Society ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/biom.12765 ;PMID: 28914966

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13
Pairwise Variable Selection for High-Dimensional Model-Based Clustering
Pairwise Variable Selection for High-Dimensional Model-Based Clustering
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Pairwise Variable Selection for High-Dimensional Model-Based Clustering

Biometrics, 2010-09, Vol.66 (3), p.793-804 [Peer Reviewed Journal]

2010 International Biometric Society ;2009, The International Biometric Society ;2009, The International Biometric Society. ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2009.01341.x ;PMID: 19912170 ;CODEN: BIOMA5

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14
Robust Estimation for Ordinary Differential Equation Models
Robust Estimation for Ordinary Differential Equation Models
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Robust Estimation for Ordinary Differential Equation Models

Biometrics, 2011-12, Vol.67 (4), p.1305-1313 [Peer Reviewed Journal]

2011 International Biometric Society ;2011, The International Biometric Society ;2011, The International Biometric Society. ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2011.01577.x ;PMID: 21401565 ;CODEN: BIOMA5

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15
Bayesian Analysis of Growth Curves Using Mixed Models Defined by Stochastic Differential Equations
Bayesian Analysis of Growth Curves Using Mixed Models Defined by Stochastic Differential Equations
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Bayesian Analysis of Growth Curves Using Mixed Models Defined by Stochastic Differential Equations

Biometrics, 2010-09, Vol.66 (3), p.733-741 [Peer Reviewed Journal]

2010 International Biometric Society ;2009 INRA, Government of France ;2009 INRA, Government of France. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2009.01342.x ;PMID: 19912169 ;CODEN: BIOMA5

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16
Interpreting Parameters in the Logistic Regression Model with Random Effects
Interpreting Parameters in the Logistic Regression Model with Random Effects
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Interpreting Parameters in the Logistic Regression Model with Random Effects

Biometrics, 2000-09, Vol.56 (3), p.909-914 [Peer Reviewed Journal]

Copyright 2000 The International Biometric Society ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.0006-341X.2000.00909.x ;PMID: 10985236 ;CODEN: BIOMA5

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17
Maximum Likelihood Estimation of Long-Term HIV Dynamic Models and Antiviral Response
Maximum Likelihood Estimation of Long-Term HIV Dynamic Models and Antiviral Response
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Maximum Likelihood Estimation of Long-Term HIV Dynamic Models and Antiviral Response

Biometrics, 2011-03, Vol.67 (1), p.250-259 [Peer Reviewed Journal]

2011 International Biometric Society ;2010, The International Biometric Society ;2010, The International Biometric Society. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2010.01422.x ;PMID: 20486926 ;CODEN: BIOMA5

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18
Modeling Functional Data with Spatially Heterogeneous Shape Characteristics
Modeling Functional Data with Spatially Heterogeneous Shape Characteristics
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Modeling Functional Data with Spatially Heterogeneous Shape Characteristics

Biometrics, 2012-06, Vol.68 (2), p.331-343 [Peer Reviewed Journal]

The International Biometric Society 2012 ;2011, The International Biometric Society ;2011, The International Biometric Society. ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2011.01669.x ;PMID: 22050118 ;CODEN: BIOMA5

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19
Goodness‐of‐Fit Diagnostics for Bayesian Hierarchical Models
Goodness‐of‐Fit Diagnostics for Bayesian Hierarchical Models
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Goodness‐of‐Fit Diagnostics for Bayesian Hierarchical Models

Biometrics, 2012-03, Vol.68 (1), p.156-164 [Peer Reviewed Journal]

2012 International Biometric Society ;2011, The International Biometric Society ;2011, The International Biometric Society. ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.1541-0420.2011.01668.x ;PMID: 22050079 ;CODEN: BIOMA5

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20
Sequential Designs for Phase I Clinical Trials with Late‐Onset Toxicities
Sequential Designs for Phase I Clinical Trials with Late‐Onset Toxicities
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Sequential Designs for Phase I Clinical Trials with Late‐Onset Toxicities

Biometrics, 2000-12, Vol.56 (4), p.1177-1182 [Peer Reviewed Journal]

Copyright 2000 The International Biometric Society ;Copyright International Biometric Society Dec 2000 ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/j.0006-341X.2000.01177.x ;PMID: 11129476 ;CODEN: BIOMA5

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