Schedule

Schedule for Math 58B, Introduction to Biostatistics, Spring 2026

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

• Before class on Monday, read the suggested article

• Enjoy the notes / readings

• Attend class, review the worksheet and solution.

• Complete the Lab and HW assignments

  • Lab due every Tuesday by 11:59pm
  • HW due every Thursday by 11:59pm

• Discuss the reflection questions and ethics considerations (see class notes) with your classmates, mentor, and professor

• IMS: Introduction to Modern Statistics by Çetinkaya-Rundel and Hardin.

• ISCAM: Investigating Statistics, Concepts, Applications, and Methods by Chance and Rossman. Many of the examples come from ISCAM, a pdf of which can be purchased for $5.

  • ISCAM applets
  • StatKey (boostrapping) applets

date	topic	agenda	readings	article (Mon)	assignments
Week 1 1.19.26	Intro + variables & studies SLR	• course info • tests • studies • causation	Introduction Studies ISCAM 1.1 IMS 1 + 2	none Felicity Enders	WS 1 - helpers HW 0 pdf HW 0 qmd Lab 1 pdf Lab 1 qmd
Week 2 1.26.26	Correlation + Least squares	• correlation • linear model • R^2	Cor Least Sq ISCAM 5.6, 5.7, 5.8 IMS 7 guess corr least sq	AstraZeneca W.E.B. Du Bois	WS 2 - confounding WS 3 - regresiion lines HW 1 pdf HW 1 qmd Lab 2 pdf Lab 2 qmd
Week 3 2.2.26	Hyp Test + Randomization Test	• structure of hypothesis testing	Tests 2x2 Rand IMS 11	Social Media + Tobacco Regina Nuzzo	WS 4 - 2x2 permutation WS 5 - Bootstrap HW 2 pdf HW 2 qmd Lab 3 pdf Lab 3 qmd
Week 4 2.9.26	Bootstrapping	• boot samp dist • boot CI	Bootstrapping Boot CIs StatKey CIs IMS 12	confounding David Blackwell	Quiz 1 on 2/11/26 WS 6 - CI capture rate HW 3 pdf HW 3 qmd Lab 4 pdf Lab 4 qmd
Week 5 2.16.26	normality + CLT	• normal dist • CLT • Z-score • empirical rule • conf int • norm prob • hyp test	CLT Norm dist Samp Dist IMS 13	facial recognition software Florence Nightingale	WS 7 - Z scores WS 8 - hyp tests HW 4 pdf HW 4 qmd Lab 5 pdf Lab 5 qmd
Week 6 2.23.26	Errors + Power + Sampling	• Type I error • Type II error • Power • biased samples	Errors Sampling Power IMS 14 + 2	type I type II Tommy Wright	Quiz 2 on 2/25/26 WS 9 - power WS 10 - Gettysburg Gettysburg Address HW 5 pdf HW 5 qmd Lab 6 pdf Lab 6 qmd
Week 7 3.2.26	Rel Risk + Odds Ratios	• RR • OR	diff props RR OR ISCAM 3.9-3.11 IMS 17	interaction Monica Jackson	WS 11 - effectiveness WS 12 - odds ratios HW 6 pdf HW 6 qmd Lab 7 pdf Lab 7 qmd
Week 8 3.9.26	Case-control + cohort studies χ^2 Test	• Case-control • Cohort • expected counts • X^2 statistic • χ^2 test	RR OR χ^2 Test ISCAM 3.2 IMS 18	there is lab on 3.13.26 health data taken offline disappearing data Abigail Echo-Hawk	Quiz 3 on 3/11/26 WS 13 - invariance of OR HW 7 pdf HW 7 qmd Lab 8 Islands
3.16.26	spring break
Week 9 3.23.26	1 mean	• dist of X-bar • SE(X-bar) • t-test of μ	1 mean IMS 19	no lab on 3.27.26 Data sovereignty this might be a better link to Data sovereignty Maricela Cruz	WS 14 - sampling dist of X-bar WS 15 - t-test HW 8 pdf HW 8 qmd Inference Summary
3.24.26	Proj 1: Pilot
Week 10 3.30.26	CI pred interval 2 means + t-proced	• t-CI for μ • PI for X_{n+1} • dist of X-bar_1 - X-bar_2 • SE(X-bar_1 - X-bar_2) • t-test of μ_1 - μ_2 • randomization test of μ_1 - μ_2 • t-CI for μ_1 - μ_2 • bootstrap CI for μ_1 - μ_2	1 mean pred int IMS 19 2 means 2 samples IMS 20	A Little Alcohol Won’t Kill You or Make You Stronger WSJ link: A Little Alcohol Won’t Kill You or Make You Stronger JAMA paper: Association Between Daily Alcohol Intake and Risk of All-Cause Mortality Edna Paisano	WS 16 - CIs and PIs WS 17 - 2 means, computational WS 18 - 2 means, mathematical Proj 1: Pilot HW 9 pdf HW 9 qmd Lab 9 pdf Lab 9 qmd
3.31.26	Proj 2: Power Analysis				Proj 2: Power Analysis
Week 11 4.6.26	paired samples ANOVA	• μ_d • MSG • MSE • F-test	ANOVA slopes IMS 22	clinical trials Omayra Ortega	HW 10 pdf HW 10 qmd Lab 10 pdf Lab 10 qmd Quiz 4 on 4/8/26
Week 12 4.13.26	SLR	• β_1	Inf on β_1 slopes IMS 24	p-hacking Talitha Washington
4.14.26	Proj 3: Analysis				Proj 3: Preliminary Analysis
Week 13 4.20.26	Inference β_1 + Tech cond	• SE(β_1) • residual plots	Tech Cond		Quiz 5 on 4/22/26
Week 14 4.27.26	MLR	• multiple X	MLR IMS 25
Week 15 5.4.26					Quiz 6 on 5/6/26
5.5.26	Proj 4: Full draft				Proj 4: Full draft
5.7 or 14.26	Proj Presentation				Proj Presentation
seniors 5.7.25					everything due for seniors by 5.7.26
5.14.26	Proj 5: Final Project				Proj 5: Final Project