Schedule

Schedule for Math 150, Methods in Biostatistics, Spring 2026

Here’s your roadmap for the semester! Each week, follow the general process outlined below:

• Enjoy the notes / text

• Attend class, review the warm-up and solution. Read the weekly article before class every Monday.

• Complete the HW assignment ( pdf & qmd linked below), submit the assignment via Gradescope from GitHub accessed on the course Canvas site. HW is due weekly on Thursday at 11:59pm.

• Homework assignments are found at the GitHub course organization. Due dates are provided on each assignment. See the course GitHub page for more information on how to find, complete, and submit assignments.

• There will be six in class quizzes.

• The textbook is Practicing Statistics, by Kuiper and Sklar. See Canvas for more information on the text.

date	agenda	readings	homework	article (Mon)	worksheets
Week 1 1.19.26	• t-tests + • SLR	Kuiper & Sklar: 2 introduction t-test t-test as SLR		Emma Benn	WS 1 - notation
Week 2 1.26.26	• SLR • contingency analysis	Kuiper & Sklar: 2 & 6 SLR categorical analysis	HW 1 - due 1.29.26	A/B testing at Netflix Rafael Irizarry	WS 2 - SLR conditions WS 3 - 2x2 permutation
Week 3 2.2.26	• contingency analysis	Kuiper & Sklar: 6 types of studies RR and CI OR and CI	HW 2 - due 2.5.26 Quiz 1 on 2.6.26	what is efficacy? efficacy Desi Small-Rodriguez	WS 4 - efficacy WS 5 - invariance OR
Week 4 2.9.26	• logistic regression	Kuiper & Sklar: 7 logistic regression MLE	HW 3 - due 2.12.26	Obesity in Children Plummets JAMA article here (see Table 6) growth curves Robert Santos	WS 6 - MLE WS 7 - OR coef
Week 5 2.16.26	• logistic regression	Kuiper & Sklar: 7 inference, logistic regression multiple logistic regression	HW 4 - due 2.19.26 Quiz 2 on 2.20.26	2030 Census Race on the census Arianna Wright Rosenbluth	WS 8 - interaction
Week 6 2.23.26	• logistic regression	Kuiper & Sklar: 7 model process cross validation ROC	HW 5 - due 2.26.26	many models (Tables 3 & 4, Fig 2) DuBois Boman	WS 9 - drop-in-deviance test WS 10 - cross validation tidymodels Simpson's Paradox
Week 7 3.2.26	• modeling	model building	HW 6 - due 3.5.26 Quiz 3 on 3.6.26	health data taken offline disappearing data Jacqueline Hughes-Oliver	WS 11 - ROC curves WS 12 - multicollinearity ROC + step
Week 8 3.9.26	• survival analysis	Kuiper & Sklar: 9 time to event KM curves KM CI	HW 7 - due 3.12.26	placebo effect (read abstract and Fig 3) Regina Nuzzo	WS 13 - Censoring WS 14 - KM curve WS 15 - KM CI
3.16.26	• Spring Break
Week 9 3.23.26	• survival analysis	Kuiper & Sklar: 9 log rank tests hazard functions	HW 8 - due 3.26.26	Alzheimer's Adrian Coles	WS 16 - log-rank test WS 17 - hazard function
Week 10 3.30.26	• survival analysis	Kuiper & Sklar: 9 Cox PH model multiple Cox PH	HW 9 - due 4.2.26 Quiz 4 on 4.3.26	the million veteran program Abigail Echo-Hawk	WS 18 - Cox PH 1 WS 19 - Cox PH 2 CHD HRs
Week 11 4.6.26	• survival analysis	Kuiper & Sklar: 9 assessing PH	HW 10 - due 4.9.26	race-conscious medicine Kim Sellers	WS 20 - violating PH
Week 12 4.13.26	• multiple comparisons	most published research multiple comparisons	HW 11 - due 4.16.26 Quiz 5 on 4.17.26	most published research science problems abuse of power Joy Buolamwini
Week 13 4.20.26	• multiple comparisons	false discovery rate interim analyses	Project: EDA due 4.24.26
Week 14 4.27.26	• Poisson regression	Poisson regression	HW 12 - due 4.30.26 Quiz 6 on 5.1.26
Week 15 5.4.26	• Poisson regression	Poisson regression	Project: Graphic in class 5.6.26
seniors 5.7.25			everything due for seniors by 5.7.26
			Project: Final due 5.13.26