skip to main content
Language:
Results 1 2 3 4 5 next page
Refined by: Journal Title: Biometrics remove subject: Science & Technology remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies
Spatially Explicit Maximum Likelihood Methods for Capture-Recapture Studies
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
2
A joint fairness model with applications to risk predictions for underrepresented populations
A joint fairness model with applications to risk predictions for underrepresented populations
Material Type:
Article 		Add to My Research

A joint fairness model with applications to risk predictions for underrepresented populations

Biometrics, 2023-06, Vol.79 (2), p.826-840 [Peer Reviewed Journal]

2022 The International Biometric Society. ;2023 The International Biometric Society. ;ISSN: 0006-341X ;EISSN: 1541-0420 ;DOI: 10.1111/biom.13632 ;PMID: 35142367

Digital Resources/Online E-Resources

Citations Cited by
3
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
Material Type:
Article 		Add to My Research

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

Digital Resources/Online E-Resources

Citations Cited by
4
Diagnosing Misspecification of the Random-Effects Distribution in Mixed Models
Diagnosing Misspecification of the Random-Effects Distribution in Mixed Models
Material Type:
Article 		Add to My Research

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

Digital Resources/Online E-Resources

Citations Cited by
5
Estimating Function Approach to Inference for Inhomogeneous Neyman-Scott Processes
Estimating Function Approach to Inference for Inhomogeneous Neyman-Scott Processes
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
6
Dependence Calibration in Conditional Copulas: A Nonparametric Approach
Dependence Calibration in Conditional Copulas: A Nonparametric Approach
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
7
Use of Two‐Way Linear Mixed Models in Multitreatment Meta‐Analysis
Use of Two‐Way Linear Mixed Models in Multitreatment Meta‐Analysis
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
8
Incorporating Predictor Network in Penalized Regression with Application to Microarray Data
Incorporating Predictor Network in Penalized Regression with Application to Microarray Data
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
9
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
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
10
Generalized Additive Modeling with Implicit Variable Selection by Likelihood‐Based Boosting
Generalized Additive Modeling with Implicit Variable Selection by Likelihood‐Based Boosting
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
11
Bayesian Lasso for Semiparametric Structural Equation Models
Bayesian Lasso for Semiparametric Structural Equation Models
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
12
Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
13
Monte Carlo Methods for Nonparametric Regression with Heteroscedastic Measurement Error
Monte Carlo Methods for Nonparametric Regression with Heteroscedastic Measurement Error
Material Type:
Article 		Add to My Research

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

Digital Resources/Online E-Resources

Citations Cited by
14
Robust Estimation for Ordinary Differential Equation Models
Robust Estimation for Ordinary Differential Equation Models
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
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
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
16
Interpreting Parameters in the Logistic Regression Model with Random Effects
Interpreting Parameters in the Logistic Regression Model with Random Effects
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
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
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
18
Modeling Functional Data with Spatially Heterogeneous Shape Characteristics
Modeling Functional Data with Spatially Heterogeneous Shape Characteristics
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
19
Goodness‐of‐Fit Diagnostics for Bayesian Hierarchical Models
Goodness‐of‐Fit Diagnostics for Bayesian Hierarchical Models
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
20
Sequential Designs for Phase I Clinical Trials with Late‐Onset Toxicities
Sequential Designs for Phase I Clinical Trials with Late‐Onset Toxicities
Material Type:
Article 		Add to My Research

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

Full text available

Citations Cited by
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait