BIOSTATISTICS SEMINAR ARCHIVE - University of...

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BIOSTATISTICS SEMINAR ARCHIVE More info at www.sph.umn.edu/biostatistics

Biostatistics Seminars 2012-13

When & Where Speaker Topic

July 24

3 p.m.

Mayo D199

Dani Gamerman

Professor of Statistics

Universidade Federal do Rio de Janeiro

Point Pattern Analysis of Cerebrovascular Deaths in Rio de Janeiro with Spatially Varying Covariate Effects

May 1

3:30 p.m.

Moos 2-690

Damla Senturk

Department of Biostatistics,

University of California, Los Angeles

Cardiovascular Event Risk Dynamics over Time in Older Patients on Dialysis: A Generalized Multiple-Index Varying Coefficient Model Approach

April 24

3:30 p.m.

Moos 2-690

Haibo Zhou

Department of Biostatistics.

University of North Carolina at Chapel Hill

Statistical Inference for Data from an Outcome Dependent Sampling Scheme with a Continuous Outcome

April 17

3:30 p.m.

Moos 2-690

David Dunson

Department of Statistical Science,

Duke University

Bayesian Learning of Conditional Distributions

March 27

3:30 p.m.

Mingyao Li

Department of Biostatistics

Estimating Isoform-Specific Gene Expression in RNA-Seq


Moos 2-690 University of Pennsylvania

March 4

3:30 p.m.

Moos 5-125

Chiung-Yu Huang

National Institute of Allergy and Infectious Diseases

Recurrent Event Data Analysis Using Time-Varying Covariates with Application to the Impact of Streptococcus on Pharyngitis in Indian School Children

March 1

10 a.m.

Mayo 3-125

Michael Levine

Purdue University

Maximum Smoothed Likelihood for Multivariate Mixtures

Feb. 27

3:30 p.m.

Moos 2-690

Shawn Treier

Department of Politics,

University of Virginia

Estimating the Dimensionality of Latent Structural Models

Jan. 30

3:30 p.m.

Moos 2-690

Hui Jiang


University of Michigan

Computationally Efficient Methods for Statistical Modeling of Alternative Splicing in RNA-Seq

Nov. 28

3:30 p.m.

Moos 2-620

Abdus Wahed


University of Pittsburgh

Covariate-Adjusted Comparison of Dynamic Treatment Regimes in Sequentially Randomized Clinical Trials

Nov. 7

3:30 p.m.

Mayo 3-125

Murali Haran

Department of Statistics,

Pennsylvania State University

Inference with Implicit Likelihoods and High-dimensional Data

Oct. 17

3:30 p.m.

Yunwen Yang

Department of Epidemiology and Biostatistics,

Bayesian Empirical Likelihood for Quantile Regression


Mayo 3-125 Drexel University

Sept. 26

3:30 p.m.

Moos 2-620

Natesh Pillai

Department of Statistics,

Harvard University

Efficiency of Bayesian Procedures and the Frequentist-Bayes Connection in Some High Dimensional Problems

Sept. 19

3:30 p.m.

Mayo D199

Jim Hodges

Division of Biostatistics,

University of Minnesota

Random Effects Old and New

Sept. 5

3:30 p.m.

Mayo 3-125

Chiung-Yu Huang

Biostatistics Research Branch,

National Institute of Allergy & Infectious Diseases,

National Institutes of Health

Composite Partial Likelihood Estimation under Length-Biased Sampling, With Application to a Prevalent Cohort Study of Dementia


When & where Speaker Topic

Sept. 7 3:30 p.m. Moos 2-620

Brian Hobbs M.D. Anderson Cancer Center, University of Texas

Commensurate Priors for Incorporating Historical Information in Clinical Trials using General and Generalized Linear Models

Sept. 21 3:30 p.m. Moos 2-620

Takayuki Abe Keio University School of Medicine

Introduction of Collaborative Work with Physicians at Keio University School of Medicine: Analysis of Clinical Radiological Free-response ROC (FROC)Data


Sept. 28 3:30 p.m. Moos 2-620

Kieron Dey Consulting Statistician

Orthogonal Designs in Healthcare Including Care and Disease Management

Oct. 19 3:30 p.m. Moos 2-620

Yu Zhang Department of Statistics, Penn State

A New Bayesian Variable Selection Method for Disease Association Mapping

Oct. 28 10 a.m. Moos 1-451

Xiao Li Meng Department of Statistics, Harvard University

Gene-Environment Interaction, Automated Bias-Variance Trade-off, and Nano-Project Ph.D. Qualifying Exams

Nov. 2 3:30 p.m. Moos 2-620

Ben French Department of Biostatistics and Epidemiology, University of Pennsylvania

Development and Evaluation of Multimarker Panels for Clinical Prognosis

Nov. 30 3:30 p.m. Moos 2-620

Clarice Weinberg National Institute of Environmental Health Sciences

Specimen Pooling for Biomarkers: Making the Most of Precious Bodily Fluids

Jan. 9, 3:30 p.m. , Mayo 3-125

Guosheng Yin, Department of Statistics and Actuarial Science, The University of Hong Kong

Bayesian Adaptive Designs for Early-Phase Clinical Trials

Friday, Jan. 13, 10 a.m., Mayo 3-125

Taki Shinohara, Department of Biostatistics, Johns Hopkins University

Estimating Parsimonious Models of Longitudinal Causal Effects using Regressions on Propensity Scores

Monday, Jan. 30, 3:30 p.m., Mayo 3-100

David Vock, Department of Statistics, North Carolina State University

Assessing the Effect of Organ Transplantation on the Distribution of Residual Lifetime

Wednesday, Feb. 1, 3:30 p.m., Moos

Luis Leon Novelo, Department of Statistics,

Objective Bayes Model Selection in Probit Models


2-530 University of Florida

Wednesday, Feb. 8, 3:30 p.m., Moos 2-530

Xiaojing Wang, Department of Statistical Science, Duke University

Bayesian Analysis of Dynamic Item Response Models

Friday, Feb. 10, 10 a.m. Mayo 3-100

Hongtu Zhu, Department of Biostatistics, University of North Carolina at Chapel Hill

Some Statistical Methods for Functional Data

Monday, Feb. 13, 3:30 p.m. Mayo 3-100

Joe Koopmeiners, Division of Biostatistics, University of Minnesota

Bayesian Adaptive Phase I/II Oncology Trials with Delayed Outcomes

Friday, Feb. 17. 10 a.m., Mayo 3-100

Yan Li, Department of Mathematics, University of Texas at Arlington

Weighting Method and Pseudo-Semiparametric Inference for Population-Based Case-Control Studies with Complex Sampling

Wednesday, March 28, 3:30 p.m., Moos 2-530

Joan Garfield, Robert delMas, and Andrew Zieffler Department of Educational Psychology, University of Minnesota

A New Flavor of the Introductory Statistics Course: Teaching Students to Cook

Wednesday, April 18, 3:30 p.m., Moos 2-530

Shuang Wang Department of Biostatistics, Mailman School of Public Health, Columbia University

Method to Detect Differentially Methylated Loci with Case-Control Designs Using Illumina Arrays

Friday, April 27, 10 a.m., 364 WBOB

Steve Manson, Department of Geography, University of Minnesota

White Shoes and Happy Cows

Wednesday, May 2, 3:30 p.m., Moos 2-530

Jeff Leek, Department of Biostatistics, Johns Hopkins University

Estimating the Rate of False Positives in the Medical Literature



September 22 3:30 p.m. Mayo D-199

Alyson Wilson Department of Statistics Iowa State University

Bayesian Methods for Estimating the Reliability of Complex System using Heterogeneous Multilevel Data

September 29 3:30 p.m. Mayo D-199

Jim Hodges Division of Biostatistics University of Minnesota

Fun with The Bumps, a simple new device for measuring tactile sensation loss in the fingers

October 6 3:30 p.m. Mayo D-199

Paul Gustafson Department of Statistics University of British Columbia

Bayesian Inference in Partially Identified Models

October 20 3:30 p.m. Mayo D-199

Jeff Gill Center for Applied Statistics Washington University

Using Statistical Modeling to Fight Terrorism

November 3 3:30 p.m. Mayo D-199

Bala Rajaratnam Department of Statistics Stanford University

Novel Methodologies for Gene Network Interaction Analysis and network modeling with applications to Cancer research and Cardiovascular Disease

November 17 3:30 p.m. Mayo D-199

Galin Jones School of Statistics University of Minnesota

Componentwise Markov chain Monte Carlo

December 1 3:30 p.m. Mayo D-199

Michael Stein Department of Statistics The University of Chicago

When does the screening effect hold?

January 19 3:30 p.m. Moos 2-620

John Hughes Department of Statistics The Pennsylvania State University

Dimension Reduction and Confounding in Spatial Generalized Linear Models

January 21 Hanwen Huang High Dimensional Statistical Learning


10:00 a.m. Weaver-Densford Hall 2-110/2-140

Department of Statistics and Operations Research University of North Carolina at Chapel Hill

Wednesday, January 26 3:30 p.m. Moos 2-620

Yen-Yi Ho McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine

Genetic Interactions and Association Networks: Statistical Models and Algorithms

CCBR Seminar Friday, January 28 2:30-3:30 p.m. CCBR Ballroom

Erik Iverson, MS Research Fellow in Biostatistics University of Minnesota

Improving Statistical Workflow: An Introduction to Literate Programming and Sweave

January 31 3:30 p.m. Mayo A110

Nikolay Bliznyuk Department of Statistics Texas A&M University

Nonlinear Latent Process Models for Integrating Spatio-Temporal Exposure Data from Multiple Sources

Friday, Feb. 4 10:00 a.m. Weaver-Densford Hall 2-110/2-140

Thomas Hoffmann Institute for Human Genetics & Dept of Epidemiology & Biostatistics University of California, San Francisco

Polygenic Modeling of Rare and Common Genetic Associations

Wednesday, Feb. 9 3:30 p.m. Moos 2-620

Jian Guo Department of Statistics University of Michigan, Ann Arbor

Joint Estimation of Multiple Graphical Models

Friday, Feb. 11 2:00 p.m. Jackson 2-137

Stuart A. Gansky, DrPH Professor University of California, San Francisco

Underlying Properties of Health Disparity Indices – Do You Know What Your Index is Measuring?

Monday, Feb. 14 3:30 p.m.

Marco Ferreira Department of Statistics University of Missouri,

Dynamic Multiscale Spatio-Temporal Models for Gaussian Areal Data


2-470 PWB Columbia


Roee Gutman Department of Statistics Harvard University

An Outcome-Free Procedure for Interval Estimation of Causal Effect

Thursday, Feb. 17 8:30-9:30 a.m. 2-101 Nils Hasselmo Hall

Fang Liu, Ph.D. Senior Biometrician/Manager Early Clinical Development Statistics Merck Research Labs

Estimation Bias in Complete-Case Analysis in Crossover Studies with Missing Data

February 18 10:30 a.m. Weaver-Densford Hall 2-110/2-140

Dipankar Bandyopadhyay Division of Biostatistics and Epidemiology Department of Medicine Medical University of South Carolina

A Multivariate Spatial Factor Model for Clustered Data with Informatively Present Mixed Responses


Eric Tchetgen Tchetgen, Ph.D. Assistant Professor Departments of Epidemiology and Biostatistics Harvard University

General Theory for Estimation of GXE Statistical Interaction: Robustness and Efficiency Considerations

Friday, Feb. 25 10 a.m. Mayo 3-100

Steffanie Halberstadt Department of Biostatistics and Epidemiology University of Pennsylvania

Item Reduction and Validation Using a Joint Latent Variable Model: An Investigation of the Penn Premenstrual Syndrome Daily Symptom Report

Monday, Feb. 28 3:30 p.m. 2-470 PWB

Hernando Ombao Biostatistics Section Brown University

Modeling Dependence in a Network of Brain Signals

Wednesday, March 2 3:30 p.m. Moos 2-620

Michael Oakes Associate Professor Epidemiology University of Minnesota

Protecting Your Data and Other Things Biostatisticians Need to Know About the IRB


Wednesday, March 30 3:30 p.m. Moos 2-620

Saonli Basu Assistant Professor Biostatistics University of Minnesota

A Dimension Reduction Approach for Modeling Multi-Locus Interaction in Case-Control Studies

Wednesday, April 6 3:30 p.m. Moos 2-620

Hao Zhang Department of Statistics Purdue University

Theory and Practice for Massive Spatial Data

Friday, April 22 10 a.m. 364 WBOB

Stephen R. Cole Department of Epidemiology University of North Carolina Chapel Hill

Marginal structural models for case-cohort study designs: Estimating the effect of antiretroviral therapy initiation on incident AIDS or death

Wednesday, May 4 3:30 p.m. Moos 2-620

Amy Herring Department of Biostatistics University of North Carolina at Chapel Hill

Bayesian Borrowing of Information across High-dimensional Exposures and Outcomes


September 10 Mayo 3-100

Joel Dubin Department of Statistics & Actuarial Science Department of Health Studies & Gerontology University of Waterloo

Longitudinal Modeling When the Response and Time-Dependent Covariate(s) are Measured at Distinct Time Points

September 30 Weaver-Densford Hall 2-120

Yongtao Guan Division of Biostatistics Yale University

Estimating Individual-Level Risk in Spatial Epidemiology Using Spatially Aggregated Information on Population at Risk

October 7 Weaver-Densford Hall 2-120

Jeremy Taylor Department of Biostatistics University of Michigan

Using a Joint Longitudinal-Survival Model in Prostate Cancer Studies


October 21 Weaver-Densford Hall 2-120

Bryan Dowd Division of Health Policy & Management University of Minnesota

Separated at Birth: Statisticians, Social Scientists and Causality in Health Services Research

November 4 Weaver-Densford Hall 2-120

Chiung-Yu Huang Biostat. Research Branch National Institute of Allergy & Infectious Diseases National Institues of Health

Estimation and Model-Checking Methods for Recurrent Gap Time Data

December 2 Weaver-Densford Hall 2-120

Chap Le Distinguished Teaching Professor of Biostatistics University of Minnesota

A Sequence of Experiments for Translational Therapeutic Investigations

February 3 Moos 2-530

Montserrat Fuentes Department of Statistics North Carolina State University

Spatial Bayesian Quantile Regression: Application to Study the Impact of Climate Change on Tropospheric Ozone


Haitao Chu Dept of Biostatistics & Lineberger Comprehensive Cancer Center University of North Carolina

Estimation and Inference for Case-control Studies with Multiple Non-gold Standard Exposure Assessments: with an Occupational Health Application


Arnab Maity Department of Biostatisics Harvard University

Statistical Methods for Testing Genetic Effects in the Presence of Possible Gene-gene and Gene-environment Interactions


Veronica Berrocal Statistical and Applied Mathematical Sciences Institute

Downscaling Outputs from Numerical Models

February 15 Yeonseung Chung Department of Biostatistics Harvard School of Public

Nonparametric Bayes Conditional Distribution Modeling with Variable Selection


Health

February 17 Min Qian Department of Statistics University of Michigan

Statistical Methodology for Dynamic Treatment Regimes

February 19

Ying Yuan The University of Texas M.D. Anderson Cancer Center

Bayesian Model Averaging Continual Reassessment Method in Phase I Clinical Trials

February 24 Jing Zhang Department of Statistics Harvard University

Bayesian Inference of Interactions in Biological Problems

March 3 Moos 2-530

Mu Zhu Department of Statistics and Actuarial Science University of Waterloo

Deep Kernel Machines and Stochastic Stepwise Ensembles

April 7 Moos 2-530

Fengzhu Sun Department of Biological Sciences University of Southern California

Power of Pattern Counting in Molecular Sequence Analysis

April 21 Moos 2-530

Crystal Linkletter Department of Community Health Brown University

Latent Socio-Spatial Process Model for Social Networks

April 30

Alan Gelfand Department of Statistical Science Duke University

Process Modeling for Space-time Extremes



September 12 Moos 2-620

Saurabh Ghosh Human Genetics Unit Indian Statistical Institute

Model-Free Linkage and Association Mapping Of Complex Traits Using Quantitative Endophenotypes


Haitao Chu Lineberger Comprehensive Cancer Center University of North Carolina

Random Effects Models in a Meta-Analysis of the Accuracy of Two Diagnostic Tests without a Gold Standard

October 1 Moos 2-620

Robert Derozio Florida Integrated Science Center USGS & Dept. of Statistics University of Florida

Estimation of Manatee Abundance from Aerial Surveys Using Dual Observers and Removal Sampling


Ruzong Fan Department of Statistics Texas A&M University

Extended Homozygosity Score Tests to Detect Positive Selection in Genome-wide Scans

November 5 Moos 5-125

Logan Spector, Division of Epidemiology & Tracy Bergemann, Division of Biostatistics University of Minnesota

Case-parent Triad Analyses of Genes Related to Bone Growth in Osteosarcoma


Sumithra Mandrekar Division of Biomedical Statistics and Informatics Mayo Clinic, Rochester

Continuous Measurements versus Categorization to Assess Anti-Tumor Activity in Cancer Clinical Trials: Is One Really Better Than the Other?

December 3 Moos 5-125

Wei Pan Division of Biostatistics University of Minnesota

Some Old and New Tests of Disease Association with Multiple SNPs in Linkage Disequilibrium


January 15 Moos 2-520

Scott Emerson Department of Biostatistics University of Washington

On the Use of Stochastic Curtailment in Sequential Clinical Trials

February 11 Mayo 1250

Shuying Sun Mathematical Biosciences Institute Ohio State University

A Quantile Approach to Analyzing Differential Methylation Hybridization Microarrays


Peng Wei Division of Biostatistics University of Minnesota

Network-based Mixture Models for Genomic Discovery

February 20 Mayo D327

Jose-Miguel Yamal Department of Biostatistics University of Texas M.D. Anderson Cancer Center

Multilevel Classification: Classifying Data Based on Variable Number of Replicated Measures with Application in Cervical Neoplasia Screening


Joe Koopmeiners Department of Biostatistics University of Washington

Conditional Estimation after a Phase II Group Sequential Diagnostic Biomarker Study

March 4 Mayo 1250

Eunhee Kim Department of Biostatistics University of North Carolina

Semi-parametric Transformation Models for Multiple Biomarkers in ROC Analysis

March 25 Moos 1-450

Brad Carlin Division of Biostatistics University of Minnesota

Bayesian Adaptive Methods for Clinical Trial Design and Analysis or What I Did on My Fall Semester Leave

April 6 Moos 1-450

Xiao-Hua Andrew Zhou Department of Biostatistics University of Washington

Some New Models for Predicting Health Care Costs of Individual Patients


April 8 Moos 1-450

Dalene Stangl Department of Statistical Science Duke University

Linking Statistical Analysis and Decision Analysis in Health-Related Research

April 14 Moos 1-450

Weihua Guan Department of Biostatistics University of Michigan

Genetic Similarity Matching for Genome-wide Association Studies

April 15 Mayo 1250

Sean Nugent Minneapolis VA Medical Center

Participation in PTSD Treatment (Who Starts, Stays, or Drops Out) How to Identify a Population of Patients Seeking Treatment in Real Time: Only at the VA?

April 20 Moos 1-450

Joshua Sampson Department of Biostatistics Yale University

Selecting SNPs to Correctly Predict Ethnicity

April 21 Moos 1-450

Zuoheng Anita Wang Department of Statistics The University of Chicago

Testing Untyped SNPs in Case-Control Association Studies with Related Individuals

April 22 Moos 1-450

Karla Ballman Mayo Clinic, Rochester

Some Trials Encountered in Clinical Trials

April 28 Moos 1-450

Erik Bloomquist Biostatistics University of California, Los Angeles

Hierarchical Models in Molecular Evolution

April 30 Mayo 3-125

Julian Wolfson Department of Biostatistics Univeristy of Washington

Statistical Identifiability and the Surrogate Endpoint Problem, with Application to Vaccine Trials



September 19 Moos 1-450G

Tom Cook Division of Biostatistics University of Wisconsin

Analysis of Time-to-event Data with Incomplete Event Adjudication

September 26 Moos 1-450G

Deukwoo Kwon Postdoctoral Visiting Fellow National Cancer Institute

Identifying Protein Makers from Mass Spectrometry Data with Ordinal Outcome


Yulan Liang Divsion of Biostatistics University at Buffalo, SUNY

Statistical Methods for Human Genomic Research

October 3 Moos 1-450G

Dan Nettleton Division of Statistics Iowa State University

Exploring the Information in p-Values for the Analysis and Planning of Multiple-Test Experiments

October 4 115 Ford Hall

Brian Caffo Division of Biostatistics Johns Hopkins University

Statistical Methods for Indirect Estimation of Physiological Parameters: Case Studies in Viral Kinetics

October 15 MoosT 2-520

Jimmy Efird John A. Burns School of Medicine

A Method to Model Season of Birth as a Surrogate Environmental Risk Factor for Disease


Song Yang National Cancer Institute

Modelling and inference on time-varying hazard ratios for survival data


Surajit Ray Math & Statistics Boston University

Modal Inference and Its Application to High-Dimensional Clustering

November Rafael Irizarri Applications of Affymetrix SNP Chips


7 Moos 1-450G

Division of Biostatistics Johns Hopkins University

November 28 Moos 1-450G

Xianghua Luo Division of Biostatistics University of Minnesota

Analysis of Recurrent Event Data Under the Case-crossover Design With Applications to Elderly Falls

December 5 Moos 1-450G

Wei Pan Division of Biostatistics University of Minnesota

Statistical Genomics and Spatial Statistics: Incorporating Biological Knowledge of Genes into Analysis of Genomic Data


Xuefeng Liu Assistant Professor Wayne State University

Joint Models for Bivariate Longitudinal Processes


Richard Maclehose Biostatistics National Institute of Environmental Health Sciences

Kernel Mixtures of Gaussian Processes and their Application to Epidemiology


Kyle Rudser Department of Biostatistics University of Washington

Separating Borrowing Information and Forming Contrasts: Nonparametric Inference for Arbitrary Functionals of Survival

February 4 Mayo D199

Yun Li Department of Biostatistics University of Michigan

Assessing Surrogacy in Clinical Trials Using Counterfactual Models


Matthew Stephens Department of Human Genetics and Statistics University of Chicago

Bayesian Imputation-based Association Mapping

February 11

Zhi Wei Bioinformatics

Statistical Methods for Network-Based Analysis of Genomic Data


Mayo D199 University of Pennsylvania


Min Zhang Department of Statistics North Carolina State University

Improving Efficiency of Inferences in Randomized Clinical Trials Using Auxiliary Covariates


Thomas Braun Assistant Professor University of Michigan

Parametric Approaches for Optimizing Treatment Schedules in Adaptive Early-Phase Clinical Trials


Hongwei Zhao Department of Biostatistics and Computational Biology University of Rochester

On the Equivalence of Some Medical Cost Estimators with Censored Data

March 5 Moos 5-125


A Practical Method for Polishing Your Writing OR Liposuction! Do it Yourself at Home! (The 3rd Biannual Liposuction Seminar)

March 26 Moos 5-125

Jian-Min Yuan Division of Epidemiology and Community Health University of Minnesota

Bladder Cancer – A Model Disease for Investigating Genetic and Environmental Effect

March 31 Mayo D199

Dongmei Liu Department of Epidemiology and Population Health London School of Hygiene and Tropical Medicine

A Variable Selection Approach to Gene Set Enrichment Analysis

April 2 Moos 5-125

Zhezhen Jin Division of Biostatistics Columbia University

Methods for Item Reduction in a Scale for Screening

April Keaven Anderson On Adaptive Extensions of Group Sequential


4 Mayo D325

Merck Trials for Clinical Investigations

April 15 Moos 2-580

Alan Zinsmeister Biostatistics College of Medicine Mayo Clinic

Breath Test Models for Gastric Emptying

April 23 Moos 5-125

Victor DeGruttola Department of Biostatistics Harvard University

Resampling-based Multiple Testing Methods with Covariate Adjustment: Application to Investigation of Antiretroviral Drug Susceptibility

April 30 Moos 5-125

Chap Le Division of Biosatistics University of Minnesota

Interval Estimation of Ratios of Parameters

May 7 Moos 5-125

Kang James & Barry James Department of Mathematics and Statistics University of Minnesota- Duluth

Tests for Local Temporal Correlation of Two Non-Homogeneous Poisson Processes

August 14 Mayo A434

Alejandro Jara Universidad de Concepcion

On the Analysis of Bayesian Semiparametric IRT-type Models




A Spatially-Adaptive Dynamic Conditionally Autoregressive Model for Longitudinal Periodontal Data


Chap Le Division of Biostatistics University of Minnesota

A Solution for the Most Basic Optimization Problem Associated with an ROC Curve



Tim Hanson Division of Biostatistics University of Minnesota

Some Bayesian Semiparametric Approaches to Modeling Survival/Reliability with a Noisy Longitudinal Marker


Lan Wang Department of Statistics University of Minnesota

Consistent Model Selection and Data-driven Smooth Tests for Longitudinal Data in the Estimating Equations Approach


Moulinath Banerjee Department of Statistics University of Michigan

Interval Censored Data: Some Recent Developments


Melanie Wall Division of Biostatistics University of Minnesota

Multiple Indicator and Multivariate Discrete State Hidden Markov Models


Peter Mueller Biostatistics MD Anderson Cancer Center

FDR, ODP and Bayesian Decision Rules

January 31 Moos I-450G

Philip Dawid University College, London

Interpreting DNA profile evidence in complex disputed paternity cases: Bayesian networks to the rescue


Daniel P. Normolle, Ph.D. Associate Professor University of Michigan

The Colorectal Cancer Serum Proteomics Bakeoff


Holly Janes, Ph.D. John Hopkins Bloomberg School of Public Health

Partitioning Evidence of Statistical Association: A Case Study of Air Pollution and Mortality


Jeff Sloan, Ph.D. Mayo Clinic Rochester

Clinical Trials and Clinical Significance of Quality of Life Endpoints in Oncology

March 7

Deepak Agarwall Senior Research

Bayesian Spatial Scan Statistic Adjusted for Over Dispersion and Spatial Correlation


Moos 2-690 Scientist Yahoo! Research

March 19 Moos 1-450

J. Michael Oakes, PhD Division of Epidemiology & Community Health Minnesota Population Center

Beyond the RCT: Some Overlooked Challenges to Statistical Inference in Human Health Research

March 28 Moos 2-690

Erin Conlon Department of Math/Stat. University of Massachusetts

Statistical Methods for Integrating Multiple Sources of Genomic Data

April 4 Moos 2-690

Bhramar Mukherjee Department of Biostatistics University of Michigan

Bayesian Analysis of Studies of Gene-Environmrnt Interaction

April 18 Moos 2-690

Heping Zhang Department of Epidemiology and Public Health Yale University School of Medicine

Genetic Studies for Ordinal Traits

April 25 NHH 2-101

Tom Louis Department of Biostatistics Johns Hopkins University

Bayesian Analysis of the 1918 Influenza Pandemic in Baltimore, MD and Newark, NJ

May 2 Moos 2-690

David Nelson Center for Chronic Disease Outcomes Research Minneapolis VA Medical Center

Bias Reduction versus Sufficient Dimension Reduction

May 16 CCBR


Treatment of Periodontal Disease and the Risk of Preterm Birth: The Obstetrics and Periodontal Therapy (OPT) Trial


Ballroom



Jim Hodges Division of Biostatistics School of Dentistry University of Minnesota

Smoothed Analysis of Variance


Chap Le Division of Biostatistics University of Minnesota

T-Test, Hotelling’s T22 Test, Odds Ratio, and the Logistics Regression Model


Daniel Sargent Director, Cancer Center Statistics, Mayo Clinic Cancer Center Consultant, Mayo Clinic Division of Biostatistics

Endpoints for Colon Adjuvant Clinical Trials: Recommendations Based on Individual Patient Data from 20898 Patients and 18 Randomized Trials


Lance Waller Department of Biostatistics Emory University

A Spatial Analysis of Epidermal Nerve Fibers


Lue P Zhao Fred Hutchinson Cancer Research Center University of Washington – Seattle

An Empirical Multipoint Method for Identifying Haplotype Blocks/Tagging SNPs with Application to HapMap Data

December 7 Moos 2-690

Hui Zou Department of Statistics University of Minnesota

The Margin Vector and Multi-class Margin-based Classifiers

January 25

Peter Hoff Department of Statistics

Dimension selection for SVD models, with applications to relational data


PWB 2-470 and Biostatistics University of Washington


Richard Evans College of Veterinary Medicine Iowa State University

Combining expert information for the analysis of animal health screening tests


Chin-shang Li Biostatistics St. Jude’s Children’s Research Hospital

A Local Linear Kernel-based Test for Nonlinear Regression Models


Jennifer Schumi Biostatistics Harvard University

Relating genotype to phenotype: Resampling-based multiple hypothesis testing using order statistics.

February 15 PWB 2-470

Shubhankar Ray Department of Statistics Texas A&M University

Bayesian Clustering for Identifying Alternative Splice Variants


Xianghua Luo Biostatistics Johns Hopkins Bloomberg School of Public Health

Recurrent Event Models in the Presence of a Terminal Event: Comparison, Inference and Data Analysis


Zhang-sheng Yu Biostatistics University of Michigan

Nonparametric Regression for Correlated Failure Time Data


Yang Xie Division of Biostatistics University of Minnesota

A Bayesian approach to joint modeling of DNA-protein binding data, gene expression data and DNA sequence data

February 28 Moos 2-

Jim Hodges Division of Biostatistics and School of Dentistry

An Approach to Diagnostics for Multiple Error-term Linear Models


620 University of Minnesota

March 1 Moos 2-620

Hongzhe Li Biostatistics University of Pennsylvania

Statistical Modeling of Pathways and Networks for Genomic Applications

March 16 Moos 2-620

Anindita Banerjee Statistics North Carolina State University

Optimal Adaptive Designs in Phase-II Trials

Lan Wang Department of Statistics University of Minnesota

Postponed until Fall ’06

April 5 Moos 2-620


A Practical Method for Polishing Your Writing OR Liposuction! Do it yourself at home!

April 19 Moos 2-690

Bradley P. Carlin Division of Biostatistics University of Minnesota

Using R and BRugs in Bayesian Clinical Trial Design and Analysis

April 26 Moos 2-620

Ivan S. F. Chan, Ph.D. Clinical Biostatistics Merck Research Laboratories

Statistical Challenges of Multiple Endpoints in Clinical Trials

May 3 Moos 2-620

Jeffrey Morris University of Texas MD Anderson Cancer Center

Bayesian Wavelet-Based Functional Mixed Models

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