Schedule

Schedule for Math 58B, Introduction to Biostatistics, Spring 2023

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

date topic agenda readings article (Tues) assignments
Week 1
1.17.23
Intro +
variables &
studies
SLR
• course info
• tests
• studies
• causation
Introduction
Studies
ISCAM 1.1
IMS 1 + 2
none

Felicity Enders
WU1
WU2
HW 0 pdf
HW 0 Rmd
Week 2
1.24.23
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
WU3
WU4
HW 1 pdf
HW 1 Rmd
Lab 1 pdf
Lab 1 Rmd
Week 3
1.31.23
Hyp Test +
Randomization
Test
• structure of
hypothesis
testing
Tests
2x2 Rand
IMS 11
chocolate

Regina Nuzzo
WU5
WU6
HW 2 pdf
HW 2 Rmd
Lab 2 pdf
Lab 2 Rmd
Week 4
2.7.23
Bootstrapping • boot samp dist
• boot CI
Bootstrapping
Boot CIs
StatKey
CIs
IMS 12
confounding

David Blackwell
WU7
WU8
HW 3 pdf
HW 3 Rmd
Lab 3 pdf
Lab 3 Rmd
Week 5
2.14.23
normality +
CLT
• normal dist
• CLT
• Z-score
• empirical rule
• conf int
• norm prob
• hyp test
CLT
Norm dist
Samp Dist
IMS
efficacy
vaccines

Florence Nightingale
WU9
WU10
HW 4 pdf
HW 4 Rmd
Lab 4 pdf
Lab 4 Rmd
Week 6
2.21.23
Errors +
Power +
Sampling
• Type I error
• Type II error
• Power
• biased samples
Errors
Sampling
Power
IMS 14 + 2
type II
type I

Tommy Wright
WU11
WU12
HW 5 pdf
HW 5 Rmd
Lab 5 pdf
Lab 5 Rmd
Week 7
2.28.23
Rel Risk +
Odds Ratios
• RR
• OR
• Case-control
• Cohort
diff props
RR
OR
ISCAM 3.9-3.11
IMS 17
interaction

Monica Jackson
WU13
WU14
HW 6 pdf
HW 6 Rmd
Lab 6 pdf
Lab 6 Rmd
Week 8
3.7.23
catch-up study materials
(see Canvas)
advice for exam 1

A Little Alcohol Won’t Kill You or Make You Stronger


A Little Alcohol Won’t Kill You or Make You Stronger


no lab on 3.10.23
HW pdf - not due ever
HW Rmd - not due ever
Lab 7 pdf
Lab 7 Rmd
3.9.23 Exam 1
3.14.23 spring break
Week 9
3.21.23
χ^2 Test • expected counts
• X^2 statistic
• χ^2 test
χ^2 Test
ISCAM 3.2
IMS 18
masks


Maricela Cruz
WU15
Week 10
3.28.23
1 mean +
pred interval
• dist of X-bar
• SE(X-bar)
• t-test of μ
• t-CI for μ
• PI for X_{n+1}
1 mean
pred int
IMS 19

Data sovereignty


this might be a better link to Data sovereignty


no lab on 3.31.23

Edna Paisano
HW 8 pdf
HW 8 Rmd

Pilot Study Due

Lab 8 doc

WU16
WU17
3.28.23 Proj 1: Pilot Proj 1: Pilot
Week 11
4.4.23
2 means +
t-proced
• 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
2 means
2 samples
IMS 20
clinical trials


Omayra Ortega
HW 9 pdf
HW 9 Rmd

Power Analysis Due

WU18
WU19
4.4.23 Proj 2: Power Analysis Proj 2: Power Analysis
Week 12
4.11.23
ANOVA • MSG
• MSE
• F-test
ANOVA
Inf on β_1
slopes
IMS 22
IMS 24
p-hacking


Talitha Washington
WU20
WU21
HW 10 pdf
HW 10 Rmd
Lab 10 pdf
Lab 10 Rmd
Week 13
4.18.23
Inference β_1 +
Tech cond +
MLR
• SE(β_1)
• residual plots
• multiple X
Tech Cond
MLR
IMS 25
1918 flu
WU22
WU23
HW 11 pdf
HW 11 Rmd
Lab 11 pdf
Lab 11 Rmd
4.18.23 Proj 3: Analysis Proj 3: Preliminary Analysis
Week 14
4.25.23
catch-up study materials
(see Canvas)

advice for exam 2

when to use what
HW 12 pdf (not due ever)
HW 12 Rmd (not due ever)
Lab 12 pdf
Lab 12 Rmd
4.27.23 Exam 2 when to use what
5.2.23 Proj 4: Full draft Proj 4: Full draft
5.4 + 12.23 Proj Presentation Proj Presentation
5.12.23 Proj 5: Final Project Proj 5: Final Project