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Begins
16 March 2012
Aim of
Course: This
3-week course is intended to
cover the fundamentals in
clinical trial data analysis
using R. The course will
start with a review of R in
relation to the clinical
trial design and analysis
and then use R to analyze
clinical trials in treatment
comparison, treatment
comparison with covariates,
time-to-event endpoints and
longitudinal structures.
Who
Should Take This Course: Anyone who
encounters design and
analysis of clinical trial
data in their work and
wishes to learn clinical
trial methods and
step-by-step implementation
of these methods in R.
Instructor:
Din Chen received his Ph.D. in
Statistics from the
University of Guelph
(Canada) in 1995 and is now
a professor in biostatistics
at the University of
Rochester Medical Center.
Professor Chen was
the Karl E. Peace endowed
eminent scholar chair and
Professor in biostatistics
for the Jiann-Ping Hsu
College of Public Health at
the Georgia Southern
University. He consults on a
regular basis for
biopharmaceutical firms and
government agencies and has
extensive expertise in
clinical trials,
bioinformatics and
statistics applications.
More than 80 refereed
professional publications of
his are in print. He is
co-author of "Clinical
Trial Methodology" and
"Clinical Trial Data
Analysis Using R"
published by CRC in 2010
Prerequisite:
Course participants should
have a basic understanding
of R (equivalent to "Introduction
to R"), though,
regardless, the instructor
will guide you in the
learning process. Basics in
statistics, estimation and
hypothesis testing are also
expected.
Organization
of the Course: The course takes place over the Internet. Course participants
will be given access to a
private bulletin board, on
which they will receive
course materials. The board
will also serve as a forum
for discussion of ideas and
problem solving. R software
can be downloaded free from
www.r-project.org and you'll
be given step-by-step
instructions in its use.
Text
Book: Din Chen and Karl E. Peace (2010). Clinical
Trial Data Analysis Using R.
Chapman & Hall / CRC
Biostatistics Series.
Course Program: The
course is structured as
follows
Session
1
- Treatment
Comparisons (Review Chapters
1 to 4)
-
-
R Review associated with
clinical trials (Chapter
1)
-
-
A simple simulated
clinical trial (Chapters
1 and 2)
-
-
Statistical models for
treatment comparisons
(Chapter 3)
-
-
Incorporating covariates
(Chapter 4)
Session
- Clinical Trials with
Time-to-Event Endpoints
(Chapter 5)
-
-
Time-to-event data
structures: breast
cancer trial (Section
5.1)
-
-
Review of statistical
models for survival data
(Section 5.2)
-
-
Analysis of
right-censored data with
Kaplan-Meier and
Cox-regression (Section
5.3)
-
-
Analysis of
interval-censored data
with Turnbull and "IntCox"
(Section 5.4)
-
-
Step-by-step
implementations in R for
the methods and data
analysis in R
Session
3: Analysis of Data from
Longitudinal Clinical Trials
(Chapter 6)
-
-
Longitudinal clinical
trial data structure
with real examples
-
-
Review of statistical
models (linear mixed
models, generalized
linear mixed model and
GEE)
-
-
Data analysis:
step-by-step
implementation in R
Cost:
$299
per participant.
($259 for each
additional person at the
same firm, institution or
government office.)
Immediately
after your payment is
credited, you will receive
an email giving you sign up
instructions, and the web
address (URL) of the course
material. Note that
you will not be able to
access this address until
the start date of the
course. We recognize
that most course
participants have full time
jobs. A charge of $55 is
made for refunds up until
one week prior to the start
of the course. While
no refunds are given after
this date, participants may
retake the course without
charge the
next time the course is
offered. |
