Schedule

Schedule for Math 150, Methods in Biostatistics, Spring 2025

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 solutions if you have any questions after completing it during class. 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 Tuesday at 11:59pm.

• Homework assignments are found at the GitHub course organization. Due dates are provided on each assignment (roughly every other week). 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.

date	agenda	readings	homework	article (Mon)	worksheets
Week 1 1.22.25	• t-tests + • SLR	Kuiper & Sklar: 2 introduction t-test t-test as SLR		Emma Benn	WS 1 - notation
Week 2 1.27.25	• SLR • contingency analysis	Kuiper & Sklar: 2 & 6 SLR categorical analysis	HW 1 - due 1.28.25	A/B testing at Netflix Rafael Irizarry	WS 2 - CIs WS 3 - tech conds
Week 3 2.3.25	• contingency analysis	Kuiper & Sklar: 6 types of studies RR and CI OR and CI	HW 2 - due 2.4.25 Quiz 1 on 2.5.25	what is efficacy? efficacy Desi Small-Rodriguez	WS 4 - sampling distributions
Week 4 2.10.25	• logistic regression	Kuiper & Sklar: 7 logistic regression MLE	HW 3 - due 2.11.25	Obesity in Children Plummets JAMA article here (see Table 6) growth curves Robert Santos	WS 5 - log-linear model WS 6 - MLE
Week 5 2.17.25	• logistic regression	Kuiper & Sklar: 7 inference, logistic regression multiple logistic regression	HW 4 - due 2.18.25 Quiz 2 on 2.19.25	intersectional data Arianna Wright Rosenbluth	WS 7 - interaction
Week 6 2.24.25	• logistic regression	Kuiper & Sklar: 7 model process cross validation ROC	HW 5 - due 2.25.25	many models (Tables 3 & 4, Fig 2)	Simpson's Paradox ROC + one variable building variable handout
Week 7 3.3.25	• modeling	model building	HW 6 - due 3.4.25 Quiz 3 on 3.5.25	health data taken offline Jacqueline Hughes-Oliver	tidymodels
Week 8 3.10.25	• survival analysis	Kuiper & Sklar: 9 time to event KM curves	HW 7 - due 3.11.25	placebo effect (read abstract and Fig 3)
Week 9 3.24.25	• survival analysis	Kuiper & Sklar: 9 KM curves KM CI	HW 8 - due 3.25.25	Alzheimer's
Week 10 3.31.25	• survival analysis	Kuiper & Sklar: 9 log rank tests hazard functions	HW 9 - due 4.1.25 Quiz 4 on 4.2.25	the million veteran program
Week 11 4.7.25	• survival analysis	Kuiper & Sklar: 9 Cox PH model multiple Cox PH	HW 10 - due 4.8.25	race-conscious medicine	CHD & HR
Week 12 4.14.25	• survival analysis	Kuiper & Sklar: 9 assessing PH most published research	HW 11 - due 4.15.25 Quiz 5 on 4.16.25	most published research science problems abuse of power
Week 13 4.21.25	• multiple comparisons	multiple comparisons false discovery rate interim analyses	HW 12 - due 4.22.25 Project: EDA due 4.23.25	pausing trials
Week 14 4.28.25	• multiple comparisons	multiple comparisons false discovery rate interim analyses	HW 13 - due 4.29.25 Quiz 6 on 4.30.25	missing data
Week 15 5.5.25			Project: Graphic in class 5.7.25
Week 16 5.16.25			Project: Final due 5.16.25