Elizabeth D. Schifano
Associate Professor/Statistics

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Scholarly Contributions

83 Scholarly Contributions

47
Journal Articles
30
Poster/Presentations
3
Other Scholarly Works
1
Conference Proceedings
1
Book Chapter
1
Book
A Review of Analysis Methods for Secondary Outcomes in Case-Control Studies
2019
Elizabeth Schifano
Research Type: Journal Article

A Survey of Statistical Methods and Computing for Big Data
Jun Yan, Ming-Hui Chen, Jing Wu, Chun Wang, Elizabeth Schifano
Research Type: Other Scholarly Work

http://arxiv.org/abs/1502.07989
A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials
2019
Jing Wu, Jeffrey D Fisher, Joseph G. Ibrahim, Elizabeth Schifano, Ming-Hui Chen
Research Type: Journal Article

A partial review of software for big data statistics
2014
Ming-Hui Chen, Jing Wu, Elizabeth Schifano, Chun Wang, Jun Yan
Research Type: Poster/Presentation

A tailored multivariate mixture model for detecting proteins of concordant change among virulent strains of Clostridium Perfringens
2018
Elizabeth Schifano, Kun Chen, Ming-Hui Chen, Neha Mishra, Haim Bar, Lynn Kuo, Joan Smyth
Research Type: Journal Article

A tailored multivariate mixture model for detecting proteins of concordant change in the pathogenesis of Necrotic Enteritis
2018
Ming-Hui Chen, Neha Mishra, Lynn Kuo, Elizabeth Schifano, Kun Chen, Haim Bar, Joan Smyth
Research Type: Journal Article

A weighted pseudolikelihood approach for eliminating ascertainment bias and improving quality when utilizing a case-control GWAS to assess genetic association with smoking habits
2014
Xihong Lin, Elizabeth Schifano, David Christiani, Tamar Sofer
Research Type: Poster/Presentation

A-clustering: A Novel Method for the Detection of Co-regulated Methylation Regions, and Regions Associated with Exposure
2013
Jane A Hoppin, Lifang Hou, Tamar Sofer, Andrea A Baccarelli, Elizabeth Schifano
Research Type: Journal Article

An Online Updating Approach for Testing the Proportional Hazards Assumption with Streams of Big Survival Data
2019
Haiying Wang, Elizabeth Schifano, Jun Yan, Yishu Xue
Research Type: Poster/Presentation

An Online Updating Approach for Testing the Proportional Hazards Assumption with Streams of Survival Data
2020
Jun Yan, Elizabeth Schifano, Yishu Xue, Haiying Wang
Research Type: Journal Article

An Overview of Multiple Comparison Methods
2014
Elizabeth Schifano
Research Type: Poster/Presentation

An analysis of the perception of stop consonants in bilinguals and monolinguals in different phonetic contexts: A range-based language cueing approach
2021
Duncan Gianna, Elizabeth Schifano, Adrian Garcia-Sierra
Research Type: Journal Article

Assessing Covariate Effects with Monotone Partial Likelihood Using Jeffreys' Prior in the Cox Model
2015
Jing Wu, Mario De Castro, Ming-Hui Chen, Elizabeth Schifano
Research Type: Poster/Presentation

Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood
2018
Elizabeth Schifano, Jing Wu, Mario de Castro, Ming-Hui Chen
Research Type: Journal Article

Assessing covariate effects with the monotone partial likelihood using Jeffreys' prior in the Cox model
Jing Wu, Ming-Hui Chen, Elizabeth Schifano, Mario de Castro
Research Type: Other Scholarly Work

Bayesian Approaches for Random Effects Models in Microarray Analysis
Elizabeth Schifano, Haim Bar
Research Type: Conference Proceedings

Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials
2018
Jeffrey D Fisher, Elizabeth Schifano, Joseph G Ibrahim, Jing Wu, Ming-Hui Chen
Research Type: Journal Article

Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Response Data with Applications to HIV Prevention Trials
2016
Jeffrey D Fisher, Ming-Hui Chen, Elizabeth Schifano
Research Type: Poster/Presentation

BinomiRare: A robust test for association of a rare genetic variant with a binary outcome for mixed models and any case-control proportion.
2021
Elizabeth Schifano
Research Type: Journal Article

Comparison of reprogramming methods by single cell analysis identifies premature viral inactivation as a barrier to successful reprogramming and reveals a common reprogramming trajectory between cell types
Elizabeth Schifano, Craig Nelson, Ion I Mandoiu, Frederick W. Kolling IV, Ofer Harel, Kun Chen, Haim Bar, Kyung-Min Chung
Research Type: Journal Article