Instructors:
Robyn Ball, Ann Wells, Andrew Deighan, Sue McClatchy

Helpers:
Isabela Gerdes Gyuricza

General Information

Statistical Inference for Biology will follow Irizarry & Love's Data Analysis for the Life Sciences. It will introduce the statistical concepts essential to understanding p-values and confidence intervals. Lecture and demonstration in concepts will precede guided hands-on practice and coaching for skills development so that participants can perform statistical analysis with good understanding. At the end of the series, participants will be able to:

Define a population, sample, estimate, and parameter

Describe null and normal distributions

Explain why confidence intervals, not p-values, better reflect statistical significance

Calculate power

Perform permutation and association tests

The course will meet weekly on Tuesdays from 9:00 am - 12:30 pm on March 10th, 17th and 24th in Bar Harbor. Participants must attend in person. Remote attendance from desks, home, or away will not be supported. This course is open to Jackson Laboratory Employees as well as those from neighboring institutions.

Prerequisite: Competence with the R programming language.

Who:
The course is aimed at graduate students and other researchers who would like to learn more about statistics.

Where:
Breezeway Bioinformatics Training Room, bldg 1, unit 5, 600 Main Street, Bar Harbor, Maine.
Get directions with
OpenStreetMap
or
Google Maps.

Requirements: Participants must bring a laptop with a
Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). They should have a few specific software packages installed (listed below).

Accessibility: We are committed to making this workshop
accessible to everybody.
The workshop organizers have checked that:

The room is wheelchair / scooter accessible.

Accessible restrooms are available.

Materials will be provided in advance of the workshop and
large-print handouts are available if needed by notifying the
organizers in advance. If we can help making learning easier for
you (e.g. sign-language interpreters, lactation facilities) please
get in touch (using contact details below) and we will
attempt to provide them.

R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
RStudio.

Install R by downloading and running
this .exe file
from CRAN.
Also, please install the
RStudio IDE.
Note that if you have separate user and admin accounts, you should run the
installers as administrator (right-click on .exe file and select "Run as
administrator" instead of double-clicking). Otherwise problems may occur later,
for example when installing R packages.

You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo dnf install R). Also, please install the
RStudio IDE.