Research

Selected Past Presentations

Publication Policies for Replicable Research: Addressing the `False’ Publication Rate. Oklahoma Conference on Statistics, Biostatistics, and Data Science. Oklahoma City, OK, 2022
Multiple Testing With Heterogeneous Data Conference on Frontiers of Big Data and Statistical Sciences: Organized by ICSA Canada Chapter, Vancouver, CA 2017.
Towards More Significant Discoveries in High Dimensional Data Analysis. Iowa State University, Department of Statistics, Des Moines, IA, 2016.
Weighted Adaptive Multiple Decision Functions for False Discovery Rate Control. Oklahoma State University, 2013 and SRCOS, 2014.
ON Nonrandomized, Randomized, and Fuzzy p-Values in Multiple Hypothesis Testing: A Unified Approach. The Joint Statistical Meetings, August, 2013.
Optimal Confidence Sets for Parameters in Discrete Distributions. Oklahoma State University, April, 2012 and The Joint Statistical Meetings, August, 2012.
Compound P-Values for Multiple Testing Procedures. Joint Statistical Meetings, August, 2011.
An Assessment of Imputation Methods for the USDA's Area Resource Management Survey. Joint Statistical Meetings, August, 2010.
P-Values for Multiple Testing Procedures. University of South Carolina, June, 2010. These are slides from my dissertation defense

Osf.io is the open science framework website. A lot of popular high dimensional and large scale replication project data are available here.
To download R click here. You will also find manuals, demonstrations, and everything else you need to learn how to use R.
To implement the methods in Quantitative Genetic Dissection of Shoot Architecture in Maize: Towards a Functional Genomics Approach, you will need QTL Cartographer and Python.
LaTeX and Miktex are free and useful for creating pdfs.
American Statistical Association
Institute of Mathematical Statistics
International Biometrics Society
International Statistics Institute