"I typically help college and graduate students learn statistics! My approach is patient, clear, and tailored to your needs. I have successfully tutored hundreds of students from top universities including Harvard, Duke, Columbia, USC, and Vanderbilt. My experience is both practical and academic. I am a professional statistician with a PhD in Biostatistics from The Ohio State University and a research focus on causal inference. While at Ohio State, I taught a range of statistics courses to both undergraduate and graduate students. I have worked with students in all subject areas including data science, public health, medicine, economics, business, and finance. If you have special topics or project that you need help with, please feel free to reach out and I will see how I can help!

I offer help across the full statistics curriculum. Common topics I tutor include:

• Probability Foundations: Combinatorics, Conditional Probability, Bayes' Theorem, and Independence.

• Descriptive Statistics: Mean, Median, Variance, Standard Deviation, Histograms, and Box Plots.

• Random Variables & Distributions: Discrete and Continuous RVs, Expected Value, Moments (MGFs), and key distributions like the Binomial, Poisson, Normal, Exponential, and F-distribution.

• Inferential Statistics: Sampling Distributions (CLT), Point Estimation, Confidence Intervals, and Hypothesis Testing (z-tests, t-tests, p-values).

• Statistical Modeling: Linear Regression, Correlation, and Analysis of Variance (ANOVA).

• Survival Analysis: Kaplan-Meier curves, log-rank tests, and Cox proportional hazards models.

• Causal Inference: My dissertation focus. Includes propensity score methods such as stratification, matching, and weighting.

• Statistical Programming in R: Supporting full data science workflows, including data manipulation (dplyr), visualization (ggplot2), and implementing statistical models." less...