Alexandra Chang's repositories
STAT525_Purdue2025
Coursework, SAS code, and notes for STAT 52500: Intermediate Statistical Methodology (Fall 2025, Purdue University). Topics include simple and multiple linear regression, ANOVA, parameter estimation, hypothesis testing, confidence intervals, diagnostics, and model selection using SAS.
PUBH526_Purdue2025
Coursework, SAS code, and notes for PUBH 52600: Design and Analysis of Randomized Trials in Public Health (Fall 2025, Purdue University). Topics include principles and design of randomized controlled trials, hypothesis testing, group comparisons, ANCOVA, and analysis of clustered and repeated measures data using SAS.
lcrisks_simulation
This repository contains cleaned, recoded, and weight-expanded datasets derived from IPUMS NHIS (2010–2023) for use in the LCrisks microsimulation model. It includes input data, preprocessing scripts, and split files optimized for scalable lung cancer screening simulations.
EPID708_UMich2025
Coursework, R code, and notes for EPID 708: Machine Learning for Epidemiologic Analysis in the Era of Big Data (Summer 2025, University of Michigan). Topics include cutting-edge applications of machine learning in epidemiology, with a focus on causal inference and prediction through Targeted Learning.
STAT514_Purdue2025
Coursework, SAS code, and notes for STAT 514: Design of Experiments (Summer 2025, Purdue University). Topics include ANOVA, block designs, nested/split-plot models, and repeated measures.
PBHS32700_UChicago2024
Coursework, Stata code, and notes for PBHS 32700: Biostatistical Methods (Spring 2024, University of Chicago). Topics include contingency tables, logistic regression, Poisson and negative binomial models, and survival analysis using Kaplan-Meier, Cox, and parametric models. The course emphasizes categorical and time-to-event analysis using Stata.
PBHS32410_UChicago2024
Coursework and Stata code for PBHS 32410: Regression Analysis for Health and Social Research (Winter 2024, University of Chicago). Topics include linear regression, multiple regression, interaction effects, model diagnostics, Poisson and logistic regression, and the application of generalized linear models in public health data.
PBHS31001_UChicago2024
Coursework, Stata code, and notes for PBHS 31001: Epidemiologic Methods (Winter 2024, University of Chicago). Topics include bias, confounding, effect modification, cohort and case-control study design, and logistic/Poisson regression. The course emphasizes observational study design and practical applications using Stata.
neversmoker_lc
Analysis of lung cancer in never smokers using NHIS data (1997–2023), including age-standardized incidence rates and covariate analysis.