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610 results on '"Chen, Ding‐Geng (Din)"'

1. Estimating Determinants of Stage at Diagnosis of Breast Cancer Prevalence in Western Nigeria Using Bayesian Logistic Regression

Author

Ogunsakin, Ropo Ebenezer, Chen, Ding-Geng (Din), Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, Ng, Hon Keung Tony, Editorial Board Member, Lio, Yuhlong, Editorial Board Member, Manda, Samuel O. M., editor, and Chirwa, Tobias F., editor

Published
2022
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2. Bayesian Spatial Modeling of HIV Using Conditional Autoregressive Model

Author

Ogunsakin, Ropo Ebenezer, Chen, Ding-Geng (Din), Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, Ng, Hon Keung Tony, Editorial Board Member, Lio, Yuhlong, Editorial Board Member, Manda, Samuel O. M., editor, and Chirwa, Tobias F., editor

Published
2022
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3. Longitudinal Meta-Analysis of Multiple Effect Sizes

Author

Musekiwa, Alfred, Manda, Samuel O. M., Mwambi, Henry G., Chen, Ding-Geng (Din), Abariga, Samuel A., McCaul, Michael, Ochodo, Eleanor, Rohwer, Anke, Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, Ng, Hon Keung Tony, Editorial Board Member, Lio, Yuhlong, Editorial Board Member, Manda, Samuel O. M., editor, and Chirwa, Tobias F., editor

Published
2022
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4. Statistical Meta-Analysis and Its Efficiency: A Real Data Analysis and a Monte-Carlo Simulation Study

Author

Chen, Ding-Geng (Din), Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, Ng, Hon Keung Tony, Editorial Board Member, Lio, Yuhlong, Editorial Board Member, Manda, Samuel O. M., editor, and Chirwa, Tobias F., editor

Published
2022
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5. Sub-Saharan African Region Strategies to Improve Biostatistics Capacity: Exploring Collaborations Between Training and Research Institutions

Author

Chirwa, Tobias F., Munyewende, Pascalia O., Chen, Ding-Geng (Din), Manda, Samuel O. M., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, Ng, Hon Keung Tony, Editorial Board Member, Lio, Yuhlong, Editorial Board Member, Manda, Samuel O. M., editor, and Chirwa, Tobias F., editor

Published
2022
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6. Nonlinear Mixed-Effects Modeling

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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7. The Generalized Linear Model

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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8. Nonlinear Regression Modeling

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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9. Generalized Multi-Level Model for Dichotomous Outcome

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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10. Longitudinal Data Analysis

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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11. Higher-Level Multi-Level Modeling

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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12. Introduction to Multi-Level Modeling

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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13. Linear Regression

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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14. Two-Level Multi-Level Modeling

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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15. Generalized Multi-Level Model for Counts Outcome

Author

Chen, Ding-Geng (Din), Chen, Jenny K., Chen, Ding-Geng (Din), Series Editor, Bekker, Andriëtte, Editorial Board Member, Coelho, Carlos A., Editorial Board Member, Finkelstein, Maxim, Editorial Board Member, Wilson, Jeffrey R., Editorial Board Member, and Chen, Jenny K.

Published
2021
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21. Sample Size Determination to Detect Cusp Catastrophe in Stochastic Cusp Catastrophe Model: A Monte-Carlo Simulation-Based Approach

Author

Chen, Ding-Geng(Din), Chen, Xinguang (Jim), Tang, Wan, Lin, Feng, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Kennedy, William G., editor, Agarwal, Nitin, editor, and Yang, Shanchieh Jay, editor

Published
2014
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22. Stress Coping Styles in Family and Relatives of Coronavirus Disease 2019 (COVID-19) Patients in the South of Iran: Application of Lazarus and Folkman’s Theory of Stress Coping

Author

Faryabi, Reza, primary, Rahimi, Tahereh, additional, Daneshi, Salman, additional, Movahed, Ehsan, additional, Yusefi, Ali Reza, additional, Shahrokhabadi, Mohadeseh Shojaei, additional, Chen, Ding-Geng (Din), additional, Azaraeen, Saeedeh, additional, and Clark, Cain C. T., additional

Published
2022
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40. Innovative Statistical Methods for Public Health Data / edited by Ding-Geng (Din) Chen, Jeffrey Wilson.

Author

Chen, Ding-Geng (Din). editor., Wilson, Jeffrey. editor., SpringerLink (Online service), Chen, Ding-Geng (Din). editor., Wilson, Jeffrey. editor., and SpringerLink (Online service)

Abstract

The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public health research across a wide spectrum of analysis. Data and software used in the studies are available for the reader to replicate the models and outcomes. The fifteen chapters range in focus from techniques for dealing with missing data with Bayesian estimation, health surveillance and population definition and implications in applied latent class analysis, to multiple comparison and meta-analysis in public health data. Researchers in biomedical and public health research will find this book to be a useful reference, and it can be used in graduate level classes.

Published
2015

41. Disordered Eating Behaviors and Health Risks in College-enrolled Young Adult Mexican American Women

Author

Stein, Karen Farchaus, Chen, Ding-Geng (Din), Corte, Colleen, Keller, Colleen, and Trabold, Nicole

Subjects
Adolescent, Health Behavior, Feeding Behavior, Overweight, Article, United States, Feeding and Eating Disorders, Young Adult, Risk-Taking, Mexican Americans, Prevalence, Humans, Female, Longitudinal Studies, Obesity, Bulimia, Energy Intake
Abstract

Recent research has shown that disordered eating behaviors are as prevalent in heterogenous samples of Latinas living in the U.S. as in non-Hispanic white women, yet less is known about the prevalence in women of Mexican origin. The primary purpose of this study is to report the prevalence and associations among DE behaviors and health risk of alcohol, tobacco use and obesity in a sample of N = 472 young adult college enrolled Mexican American (MA) women living in the United States. This report focuses on baseline data from a 12-month repeated measures longitudinal study. Ecological momentary assessment (EMA) was used to capture the prevalence of disordered eating and health risk behaviors in the context of everyday activities. Disordered eating behaviors including purging, binge eating, fasting and exercise were reported by approximately 15% of the sample. Food/calorie restricting, was the most prevalent behavior reported by 48% of the sample and along with binge eating was a positive predictor of BMI. Fasting was the only disordered eating behavior associated with tobacco use. These findings suggest that subclinical levels of DE behaviors are prevalent in a community sample of women of Mexican origin and are associated with health risks of tobacco use and higher BMI. Early identification of DE behaviors and community-based interventions targeting MA women may help reduce disparities associated with overweight and obesity in this population.

Published
2013

45. Informative priors or noninformative priors? A Bayesian re-analysis of binary data from Macugen phase III clinical trials.

Author

Chen, Ding-Geng (Din), Ting, Naitee, and Ho, Shuyen

Subjects
*BAYESIAN analysis, *DISTRIBUTION (Probability theory), *STATISTICAL methods in clinical trials, *P-value (Statistics), *FREQUENTIST statistics, *HYPERGEOMETRIC functions, *MONTE Carlo method, *DATA analysis
Abstract

It has became more popular in the recent statistical literature to see Bayesian approaches for clinical trials, such as assurance calculations for study designs and the use of posterior probability for data analyses. When applying Bayesian analysis to clinical trial data, one common question is to use informative priors or noninformative priors. In order to explore this question, we looked for existing clinical trial data with a simple structure and a simple clinical endpoint so that the Bayesian re-analyses can be easily performed. We came across the published Phase III Macugen® data that were suitable for this exploration. In this manuscript, the Macugen Phase III development program was described, the primary data for the two Phase III pivotal studies were re-analyzed using Bayesian applications with informative priors and noninformative priors. These re-analysis results were summarized, compared, and discussed. [ABSTRACT FROM AUTHOR]

Published
2017
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46. Cusp Catastrophe Model

Author

Chen, Ding-Geng (Din), primary, Lin, Feng, additional, Chen, Xinguang (Jim), additional, Tang, Wan, additional, and Kitzman, Harriet, additional

Published
2014
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49. Robustness of the shrinkage estimator for the relative potency in the combination of multivariate bioassays.

Author

Chen, Ding-Geng (Din)

Subjects
*ROBUST statistics, *MULTIVARIATE analysis, *BIOLOGICAL assay, *BAYESIAN analysis, *CAUCHY problem
Abstract

This article investigates the robustness of the shrinkage Bayesian estimator for the relative potency parameter in the combinations of multivariate bioassays proposed in Chen et al. (1999), which incorporated prior information on the model parameters based on Jeffreys’ rules. This investigation is carried out for the families oft-distribution and Cauchy-distribution based on the characteristics of bioassay theory since thet-distribution approaches the normal distribution which is the most commonly used distribution in the applications of bioassay as the degrees of freedom increases and thet-distribution approaches the Cauchy-distribution as the degrees of freedom approaches 1 which is also an important distribution in bioassay. A real data is used to illustrate the application of this investigation. This analysis further supports the application of the shrinkage Bayesian estimator to the theory of bioassay along with the empirical Bayesian estimator. [ABSTRACT FROM AUTHOR]

Published
2016
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