Curriculum

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1 Οκτ 2013 (πριν από 3 χρόνια και 11 μήνες)

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Curriculum


The proposed M.S. in Bios
tatistics requires completing 36

credits of coursework i
n modern
statistical theory, epidemiology, and
bioinformatics/biology
, which includes 24 credits of core
courses, and 12

credits of electives.




Core courses (24

credits):


Statistics Core (9 credits):


The Statistics Core provides the basic probability, statistical analysis techniques, and statistical
modeling tools that all biostatisticians must know, and provides a basis for higher level elective
coursework.




STAT 544
-

Applied Probability

Credits: 3



STAT 554
-

Applied Statistics

Credits: 3



STAT 656
-

Regre
ssion Analysis

Credits: 3


“Bio” Core (9 credits):


GCH 712 provides the basic background biostatisticians need in public health and epidemiology.
BIOS 743 provides the basic background in biology, including genetics and proteomics. STAT
560 provides the

basic statistical techniques required for clinical medicine, and includes material
on ethics in research.





GCH 712
-

Introduction to Epidemiology

Credits: 3



BIOS 743
-

Geno
mics, Proteomics, and Bioinformatics

Credits: 3



STAT 560
-

Biostatistical Methods

Credits: 3


Consulting and Research Core (6 credits):


STAT 634 allows students to consult dir
ectly with biologists and medical and public health
scientists on real data problems. It also provides the opportunity to write reports and give oral
presentations. STAT 798 is a master’s project completed under the guidance of a faculty in the
Departmen
t of Statistics. It involves applications of biostatistical methodology to either the
design or analysis of biostatistical data. Students will work directly with the advisor for a
semester and write a master’s level report.




STAT 634
-

Case Studies in Data Analysis

Credits: 3



STAT 798
-

Master’s Research Project

Credits: 3


Electives (1
2

credits)


The electives labeled STAT are specifically chosen from the Department’s master’s
-
level
electives to include techniques that are particularly important for biostatisticians.




BINF
630

-

Bioinformatics Methods

Credits: 3



GCH 680
-

International Research Ethics and Methods

Credits: 3



GCH

806
-

Advanced Multivariate Statistics and Data Analysis for Health Care Research

Credits: 3



STAT 652
-

Sta
tistical Inference

Credits: 3



STAT 655
-

Analysis of Variance

Credits: 3



STAT 657
-

Nonparametric
Statistics

Credits: 3



STAT 662
-

Multivariate Statistical Methods

Credits: 3



STAT 663
-

Statistical Graphics and Data Exploration I

Credits: 3



STAT 665
-

Categorical Data Analysis

Credits: 3



STAT 668
-

Survival Analysis

Credits: 3



STAT 756
-

Alternative Regression Methods

Credits: 3



STAT

760
-

Advanced Biostatistical Methods

Credits: 3



STAT 773
-

Statistical Methods for Longitudinal Data Analysis

Credits: 3


The detaile
d course descriptions are provided in Appendix B.
It is expected that
a full
-
time
student in the
proposed
M.S. program in Biostatistics takes 9 credits per semester. The total time
to finish all coursework would be 2 years.
A

part
-
time student in the M.S.
program in
Biostatistics typically takes 6 credits per semester. The total time to finish all coursework would
be 3 years.
S
ample schedule
s

for completion of the M.S. degree in Biostatistics
are
given in
Appendix A
.