Contributed Papers

Recent Topics in Missing Data and Model Selection

Mon, Aug 4, 2:00 PM - 3:50 PM Room CC-210 Music City Center

Biometrics Section

About this session

This session will present latest research in strategies to handle missing data as well latest research in model selection

7 Presentations

A Robust Method for Integrating Heterogeneous and Summary-Level Data from Various Data Sources

2:05 PM - 2:20 PM

Co-authors: Farimah Shamsi, Farimah Shamsi, Andriy Derkach (Memorial Sloan Kettering Cancer Center)

Data integration Information synthesis Summary level information Sampling weight calibration propensity score

Beyond the Surface: Analyzing the Effects of Intercurrent Events in Randomized Clinical Trials

2:20 PM - 2:35 PM

Co-authors: Ahmad Hakeem Abdul Wahab (Janssen), Ahmad Hakeem Abdul Wahab (Janssen)

estimand causal intercurrent events principal stratification clinical trial ICH E9(R1)

Knowledge-Guided Bayesian Factor Analysis of Multi-Omics Data in the Presence of Missingness

2:35 PM - 2:50 PM

Co-authors: Konstantinos Tsingas (University of Pennsylvania), Qiyiwen Zhang (University of Pittsburgh), Konstantinos Tsingas (University of Pennsylvania), Qi Long

Missing data Bayesian factor analysis Multi-omics integration Dimension reduction Multivariate data analysis Knowledge graph

Robust Causal Inference for Point Exposures in Electronic Health Record Based Observational Studies

2:50 PM - 3:05 PM

Co-authors: Luke Benz (Harvard University, Department of Biostatistics), Alexander Levis (Carnegie Mellon University), Luke Benz (Harvard University, Department of Biostatistics), Sebastien Haneuse (Harvard T.H. Chan School of Public Health)

Missing Data Causal Inference Multiply Robust Influence Functions Bariatric Surgery Diabetes

Sensitivity analysis with iterative outlier detection for systematic reviews and meta-analyses

3:05 PM - 3:20 PM

Co-authors: Zhuo Meng, Jingshen Wang (UC Berkeley), Zhuo Meng, Chong Wu (The University of Texas MD Anderson Cancer Center), Lifeng Lin

Meta-analysis heterogeneity iterative method outlier sensitivity analysis

Smiling through the gaps: Missing data solutions for periodontal estimates from partial-mouth exams

3:20 PM - 3:35 PM

Co-authors: Danielle LaVine (University of California, Los Angeles), Thomas Belin (University of California-Los Angeles), Danielle LaVine (University of California, Los Angeles)

Dentistry Oral health Missing data Epidemiology Periodontitis Public health

Statistical analysis of outcomes involving missing data due to mortality or dropout

3:35 PM - 3:50 PM

Co-authors: Alok Dwivedi (Texas Tech University Health Sciences Center El Paso), Alok Dwivedi (Texas Tech University Health Sciences Center El Paso), Shakeel Ahmed (Texas Tech University Health Sciences Center El Paso)

Zero hurdle models Missing data Multinomial logistic regression Finite mixed models prognostic score-adjusted models ordinal logistic regression