Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.
Activity Details
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| 186 | Mon, 8/4/2014, 10:30 AM - 12:20 PM | CC-Exhibit Hall B2 | |
| Contributed Oral Poster Presentations: Biometrics Section — Contributed Poster Presentations | |||
| Biometrics Section | |||
| Chair(s): Daniel S. Cooley, Colorado State University | |||
| 1: | Genotype to Phenotype Maps: Multiple Input Abiotic Signals Combine to Produce Growth Effects via Attenuating Signaling Interactions in Maize — Cuixian Chen, University of North Carolina at Wilmington | ||
| 2: | A Joint Modeling Approach for Right-Censored Multivariate Longitudinal Data — Miran Jaffa, American University of Beirut ; Ayad A. Jaffa, American University of Beirut ; Mulugeta Gebregziabher, Medical University of South Carolina | ||
| 3: | Joint Assessment of Dependent Discrete Disease State Processes — David Engler ; Brian Healy, Massachusetts General Hospital | ||
| 4: | Factors Associated with Falls and Injurious Falls in Community-Dwelling Adults Aged 18--64 Years Old — Feifei Wei, University of Arkansas for Medical Sciences ; Amy L. Hester, University of Arkansas for Medical Sciences ; Amy M. Schrader, University of Arkansas | ||
| 5: | Power Calculation in Candidate Marker Detection in RNA-Seq Experiment — Ge Liao, University of Pittsburgh ; George Tseng, University of Pittsburgh | ||
| 6: | Comparison of Storer's and mTPI Designs with Simulation — Hong Wang, University of Pittsburgh Cancer Institute | ||
| 7: | Using Doubly Robust Estimator to Estimate an Average Treatment Effect in Observational Studies When Treatment Switching Exists — Chunhao Tu, University of New England ; Woon Yuen Koh, University of New England | ||
| 8: | An Application of the Nonlinear Mixed Effect Model Using Regression Splines — Yiichieh Huang ; Karen J. Coleman, Kaiser Permanente | ||
| 9: | Attributable Fractions and Excess Fractions with Multiple Exposure Level: The Relations and Bounds — Yasutaka Chiba | ||
| 10: | Multivariate Polynomial Temporal Genetic Association and Genetic Causality Methods — Luan Lin, Icahn school of medicine at Mount Sinai ; Kayee Yeung, University of Washington ; Roger E. Bumgarner, University of Washington ; Eric E. Schadt, Icahn School of Medicine at Mount Sinai ; Jun E. Zhu, Icahn School of Medicine at Mount Sinai | ||
| 11: | Multiple Inflation Negative Binomial Model with L1 Regularization — Arvind Tripathi, University of Alabama at Birmingham ; Kui Zhang, University of Alabama at Birmingham ; Xiaogang Su, University of Texas at El Paso | ||
| 12: | Identifying Patient-Specific Biomarker and Predicting Anti-Cancer Drug Sensitivity via Robust Statistical Methodology — Heewon Park, University of Tokyo ; Teppei Shimamura, University of Tokyo ; Seiya Imoto, University of Tokyo ; Satoru Miyano, University of Tokyo | ||
| 13: | A Hierarchical Modeling Strategy for Identifying Gene Expression Heterosis — William Landau, Iowa State University ; Jarad Niemi, Iowa State University ; Peng Liu, Iowa State University ; Dan Nettleton, Iowa State University | ||
| 14: | Predicting Patients' Responses to Treatment for Personalized Medicine — Wei-Jiun Lin, Feng Chia University ; James J. Chen, NCTR/FDA | ||
| 15: | Goodness-of-fit for U-Process — Youngjoo Cho, Penn State ; Debashis Ghosh, Penn State | ||
| 16: | Gene-Dependent Normalization of RNA-Seq Data — Andrew Lithio, Iowa State University ; Dan Nettleton, Iowa State University | ||
| 17: | Effects and Detection of Link Misspecification in Generalized Linear Mixed Models — Shun Yu ; Xianzheng Huang, University of South Carolina | ||
| 18: | Application of GEV in Analysis of Survival Data — Dooti Roy, University of Connecticut ; Dipak Dey, University of Connecticut ; Vivekananda Roy, Iowa State University | ||
| 20: | Evaluation of Statistical Methods for Longitudinal Count Data with Dropouts — Takayuki Abe, Keio University School of Medicine ; Kazuhito Shiosakai, Daiichi Sankyo Co. ; Yuji Sato, Keio University School of Medicine ; Manabu Iwasaki, Seikei University | ||
| 22: | Estimation of Covariate Effects for Interval-Censored Competing Risks Data Under the Joint Modeling Framework — Bo Fu, Merck ; Chung-Chou Chang, University of Pittsburgh ; Ching-wen Lee, University of Pittsburgh | ||
| 23: | Combining P-Values for Gene Set Analysis — Ziwen Wei, Merck ; Lynn Kuo, University of Connecticut | ||
| 25: | Imputation of Rare Genetic Variants — Thomas Hoffmann, University of California, San Francisco | ||
| 26: | Constrained Randomness and the Evolution of Artificial Neural Networks — Thomas W. Woolley, Samford University ; Steven F. Donaldson, Samford University ; Nick Dzugan, Samford University ; Jason Goebel, Samford University | ||
| 27: | A New Approach to Calculating Expected Value of Sample Information for a Clinical Trial — Robert A. Parker, Massachusetts General Hospital ; Pamela Pen-Erh Pei, Massachusetts General Hospital ; Milton Weinstein, Harvard School of Public Health | ||
| 28: | Visualizing a Large Number of Regression Models Fitted to RNA-Sequencing Data — Yanming Di, Oregon State University | ||
| 29: | Accounting for Nuisance Covariates When Using RNA-Seq Data to Identify Differentially Expressed Genes — Yet T. Nguyen, Iowa State University ; Dan Nettleton, Iowa State University | ||
| 30: | Multistate Hidden Markov Model for High-Frequency Repeated Measures in Applications to Studies of Physical Activities with Accelerometers — Jaejoon Song, MD Anderson Cancer Center ; Karen Basen-Engquist, MD Anderson Cancer Center | ||
| 31: | Objective Bayes Variable Selection for Site-Occupancy Models Using Latent Normal Mixtures — Daniel Taylor Rodriguez, University of Florida ; Claudio Fuentes ; Andrew Womack, University of Florida ; Nikolay Bliznyuk, University of Florida | ||
| 32: | Joint Hypothesis Testing Application — Jing You, Cleveland Clinic ; Edward Mascha, Cleveland Clinic | ||
| 33: | A Classification Approach for DNA Methylation Profiling with Bisulphite Next-Generation Sequencing Data — Longjie Cheng ; Yu Zhu, Purdue University | ||
| 34: | Identifying Genetic Variants for Addiction via Propensity Score Adjusted Generalized Kendall's Tau — Yuan Jiang, Oregon State University ; Ni Li, Hainan Normal University ; Heping Zhang, Yale | ||
| 35: | Box-Cox Transformations for Generalized Linear Models — Patrick Johnston | ||
| 37: | Statistical Analysis of Glycoprotein Data in Breast Cancer Cell Lines — Spencer Bowen, SFSU ; Alexandra Piryatinska, San Francisco State University ; Leslie Timpe, San Francisco State University | ||
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