Skip Navigation


E-Newsletter Featured Stories

Fall 2018


Setting the Standard

Congratulations Scott Zeger & Valerie Culotta!

Congratulating Biostatistics’ own, Dr. Scott Zeger, along with co-recipient, Dr. Valerie Culotta – recipients of the inaugural Dean’s Award for Distinction in Faculty Mentoring! 

To view the official press release, visit Hub at Work

New & Noteworthy

What is Chromebook Data Science?

Chromebook Data Science logo

Get a snapshot of the groundbreaking Massive Open Online Course breaking down the barriers between learning and finding employment in the field of data science.

To read the Jeff Leek's blog post on the Chromebook Data Science program, please visit Simply Stats.


Big Data on the Brain

Big Data on the Brain

Massive brain scan databases could lead to more precise diagnoses and more effective treatments.

For the full story by Michael Eisenstein, visit Hopkins Bloomberg Public Health Magazine.

Extra! Extra!

Methods in Biostatistics with R

Methods in Biostatistics with R

Announcing a new e-book from the department, penned by Ciprian Crainiceanu, Brian Caffo and John Muschelli.

We are pleased to announce a new e-book from the department: Ciprian Crainiceanu, Brian Caffo and John Muschelli have collaborated to produce Methods in Biostatistics with R! This endeavor was created by way of Leanpub – a new publishing model which makes it possible for readers to acquire free and low-cost books of variable pricing; readers also receive all updated versions of books purchased through the site. JHU Biostatistics now has many titles on Leanpub, and even some best sellers!

Methods in Biostatistics with R is based on the Biostat 651 and 652 course series that Brian – and now Ciprian – have taught over the past decade. They joined with John – our resident R guru – to create a highly ambitious book on Biostatistics. This book is a unique blend of theory, methods, application and coding – an intersection where the SMART working group likes to operate. 

The book covers basic mathematical biostatistics, R, exploratory data analysis and biostatistical inference in a unified approach. Students interested in reading the manuscript should have the same basic requirements as the 650 series, some basic calculus, programming skills and a willingness to learn. 

Check out Methods in Biostatsitics with R on Leanpub and congratulations to Ciprian, John and Brian on publishing their new book!


Archived E-Newsletter
Spring 2018 | Fall 2017 | Spring 2017 | Fall 2016 | Spring 2016 | Fall 2015 | Spring 2015