BIO 4158 Applied Biostatistics
Prerequisite
MAT 2379, MAT 2779 or an equivalent introductory statistics course
Organisation
Readings and online assessments done prior to the lectures, lectures and class discussions on most common
statistical tests, follow

BIO4158/8102B
/31
Midterm - Fall 2015
(4 bonus possible)
Name:_
Student#_
Note: The exam is open book (including textbook, lab manual, and your class notes). You can also use
any calculator. Answers should be given in the space provided below each questio

12.4.1 Confidence intervals
Results for both individual studies and meta-analyses are reported with a point estimate together with an
associated confidence interval. For example, The odds ratio was 0.75 with a 95% confidence interval of 0.70 to
0.80. The

Assignment 3, Q. 4
Compute the mean warming rate in the North and in the South by
averaging the rates calculated separately by station in Q2 (i.e. not
pooling stations as done in Q3) (1 point). Calculate a 95% CI for
each of these means based on the 3 rep

Lab: Two-sample comparisons
1. Randomization
2. Bootstrap
3. Wilcoxon signed-rank test
4. Tests for equality of variance
5. One vs. two-tailed tests
6. Midterm information
1
Issues with reading
Permutation tests
Bootstrapping
What test to use when
Whats t

Correlation and regression 2
1. CI of estimates
2. Outliers
3. Multiple testing
4. Doing Lab 3: Linear regression in R
5. Testing assumptions
6. Bootstrapping
7. Power in linear regression
1
Main issues with the lab manual reading
Problems with R code
B

Correlation and regression
1
General Difficulties
I don't understand how a correlation is different from
a linear regression.
R2 - What is it and what is it used for?
df in regression
Assumptions in regression/correlation
Least squares
Comparing mo

Lecture 6
1. Power
2. Bayesian logic & False Discovery Rate
1
(Some of) Your questions
I don't understand why you would see a small P
value with a large effect observed in tiny samples
Wording in chp. 18 summary is not ideal. P depends on
sample size a

Lecture 4
1. Whats a p-value?
2. One vs. two-tailed testing
3. Relationship between CIs and P-values
4. P-hacking
Issues with readings
I still find the definition of p-values unclear
One vs two-tailed P-values (this is different from paired vs. unpaired t

BIO 4158 Applied Biostatistics
Howard Rundle
Gendron 277
hrundle@uottawa.ca
1
Outline for first lecture
Introduction
Your expectations
Role in Biology program
Pedagogical approach
My expectations
Objectives, evaluation and course outline
Textbook and web

One-way analysis of variance (ANOVA) 2
1. Controlling family-wise error rate
2. Follow-up tests and multiple comparisons
3. Some questions
4. ANOVA in R
5. Non-parametric alternatives
1
Control
Experimental (N)
Experimental (P)
Frequency
ANOVA tells us w