In addition to her technical expertise, Elaine possesses a talent for conveying statistical concepts and results in a way that people can intuitively understand.
Elaine’s love of numbers began in elementary school where she placed in regional and statewide mathematics competitions. She attended University of California, Riverside, as a National Science Foundation Scholar, where she earned a B.S. in Statistics with a minor in Quantitative Management, Accounting. Elaine completed her graduate certification in Applied Statistics with Texas A & M University. Gig ‘em Aggies! Currently, she is finishing her graduate work in Applied Statistics at Rochester Institute of Technology.
Elaine is a member of The American Statistical Association as well as many other professional organizations. She is also a member of the Mensa High IQ Society. Elaine is also a member in good standing with the Better Business Bureau.
Current areas of interest include Bayesian inference, simulation and bootstrapping techniques, and predictive modeling.
When she isn’t crunching numbers you can find Elaine digging in her garden, playing her violin, cooking, or playing board games with friends.
Modeling/Simulation: Numerical methods, maximum likelihood estimation, EM methods, optimization, bootstrap techniques, Markov Chain Monte Carlo techniques, simulation and construction of statistical models, time series models.
Regression Analysis: Definition, fitting, inference, prediction, and interpretation of linear regression models. Variable selection, residual and influential diagnostics, mediation, moderation, conditional effects, transformations, generalized least squares and weighted least squares, derived predictors (polynomial regression, log transformation, indicator variables, etc.). Non-parametric procedures and modeling. Generalized estimating equations (GEE), Correlational analysis.
Sampling: Simple random sampling. Stratified sampling. Cluster sampling. Proportional Probability Sampling, Ratio and regression estimates. Random response, capture-recapture and jackknife techniques.
Design of Experiments: ANOVA including: Model assessment, Multiple comparison, Choice of sample size, Nonparametric alternative, Non-normal response, transformation. Randomized complete block design, The Latin Square design, Balanced incomplete block design, Factorial design including analysis and unbalanced data, Random effects models, Nested Designs, Split-plot designs and variations, ANCOVA, repeated measures, multivariate analysis (MANOVA etc.).
Observational Studies: Cross-sectional, case-control, cohort, prospective or retrospective, propensity score matching.
Survey Design: Development and testing of qualitative and quantitative instrumentation. Validity and reliability testing. Exploratory Factor Analysis, Confirmatory Factor Analysis, Structural Equation Modeling.
Quality Control/Improvements: Pareto analysis, control charts for attributes and variables, custom and moving average charts, process capability, economic design, acceptance sampling, Taguchi method, parameter design, tolerance design, reliability, hazard rate, censoring, accelerated life testing.
Time Series Analysis: Univariate stationary and non-stationary models, vector autoregressions, ARIMA models, trend analysis, seasonal models, exponential smoothing, Box-Jenkins models, GARCH models, frequency domain methods, models for estimation and inference in persistent time series, and structural breaks. Survival analysis
Categorical Data Analysis: Skill set includes: Binomial and multinomial variables, Chi-square , Fisher’s exact, McNemar’s, and other categorical tests. proportions and odds ratios, multi-way contingency tables, generalized linear models for discrete data, logistic regression for binary responses, multi-category logit models for nominal and ordinal responses, inference for matched-pairs and correlated clustered data, loglinear models. Log-rank tests, Poisson, negative binomial, and other categorical regression techniques.
Statistical Genetics: Large-scale inference, empirical Bayes methods, False discovery rate theory and applications to differential expression analysis, RNA-seq data analysis; Network-based analysis of genomic data and Hidden Markov random field models; Sparse segment identification in high dimensional settings with applications to copy number variation analysis using SNP chip data and next generation sequencing data; High dimensional regression and regularization methods in genomics; Genetic networks and Gaussian graphical models, Conditional Gaussian graphical models, Causal inference and directed graphs; Analysis of microbiome data and high dimensional compositional data; Kernel methods and analysis of rare variants; ChIP-seq data, epigenomics data.
Statistical programming and software:
SAS, JMP, R, STATA, SPSS, NCSS, PASS, M-Plus, MATLAB, Minitab, RATS, NVivo, LISREL, IDEA, HLM, GraphPad, Prism, G-Power
Other programming and software:
C++, Python, LaTex, All Microsoft software applications including programming using:
Omega Statistics, Murrieta, California (June, 2006 – Present)
OWNER AND PRINCIPAL STATISTICIAN
Providing study design and data analysis. Areas of expertise include design of experiments and adaptive design, frequentist and Bayesian statistics, clinical Research/trials, biotechnology, statistical genetics, behavioral/social/management sciences, health sciences and epidemiology, environmental sciences, quality and process control, and survey design and testing.
As a private practice statistician I have worked in a consulting/collaborative capacity in the clinical research arena with numerous companies and individuals. An overview of some of my more recent or notable affiliations are:
QPS, Miami, Florida, 2013 to Present
STATISTICAL CONSULTANT/CLINICAL RESEARCH PHASES I-IV
Piramal Critical Care, Bethlehem, Pennsylvania, 2013 – Present
STATISTICAL CONSULTANT/VARIOUS PROJECTS
Nutrisystem, Fort Washington, Pennsylvania
STATISTICAL CONSULTANT/LEAN 13 Campaign, 2016
Steve Yoelin, M.D., Newport Beach, CA
STATISTICAL CONSULTANT/PROOF OF CONCEPT STUDY, 2016
Proton Collaborative Group, Warrenville, Illinois
STATISTICAL CONSULTANT/ONCOLOGY STUDIES, 2008-2016
Medical College of Wisconsin, Milwaukee, Wisconsin
STATISTICAL CONSULTANT/NATIONAL CANCER DATA BASE STUDIES, 2015-2016
Cure DM, Wilmington, Delaware
STATISTICAL CONSULTANT, PANCREATIC ISLET STUDY (Pre-clinical) 2008-2009
Prior Professional Experience (2006 and earlier)
University of California, Riverside, California
RESEARCH ASSISTANT/ENTOMOLOGY DEPARTMENT
Assisted faculty with laboratory, field, and greenhouse research, including: maintenance and propagation of plants for use in experiments; conducting laboratory bioassays and chemical analyses; census and identification of insects collected from plants grown in the field. Developed Excel spreadsheet and program to store and calculate various quantitative information. Performed statistical analyses of information collected.
San Bernardino County, California
Supervised and planned work of 8 regular and 3 temporary employees in the Document Control Department. Hired and trained new employees. Monitored work and implemented strategies to save time, boost morale, and increase the effectiveness of the department.
DATA TECHNCIAN/MANAGEMENT AND INFORMATION SERVICES
Data management of hospital billing. Troubleshooting and correction of account charges. Design and compilation of various reports as requested utilizing data base information. Assisted personnel in other departments with various billing and computer problems. Maintained paper, microfiche and computer files. Completed special projects as assigned.
PUBLIC INFORMATION OFFICER/AGRICULTURAL COMMISSIONER
Liaison between department and public. Maintained data for the following County and State programs: Apiary, Gypsy Moth, Quarantine Rejection, Nursery, Seed, and Fruit and Nut Crop Acreage. Using data base information prepared and submitted ten monthly reports to the State of California. Performed other projects as requested.
Pacific Bell, Bakersfield, Ca.
SERVICE REPRESENTATIVE/RESIDENCE TELEPHONE ORDER CENTER
Provided assistance to new and existing customers regarding residential telephone service. Annoyance Call Specialist and Unbilled Toll Charges Specialist. Utilization of data research techniques to solve call annoyance problems and recover funds. Sales Committee member. Received outstanding performance and customer service commendations.
Check out Elaine Eisenbeisz on ResearchGate