BRTY 3020 / NTRES 4130 – Biological Statistics II
Spring 4 Credits

 

Go to Webactive Syllabus

 

Lecture:

 

 

Tu and Th 10:10 - 11:25

Riley Robb 105

Lab:

 

Tuesday 12:20-1:10, Mann Library B30B

Tuesday 1:25-2:15, Mann Library B30B

 
   
Instructor: Dr. Patrick J. Sullivan
  214 Fernow
  255-8213
  pjs31@cornell.edu
  Sullivan Home Website

 

Office Hours:

 

 

After class or by appointment.

 

Teaching

Assistant:

 

 

Carey Ambrosetti csa23@cornell.edu Tues 4:30-5:30

Matthias Kormaksson mk375@cornell.edu Weds 1:30-2:30

TA Office:

 

1187 Comstock

Textbook:

 

Kutner, Nachtsheim, Neter and Li 2005

Applied Linear Statistical Models, 5th Edition

 
Software:

Software acquisition information:

Splus Software

R Software

R manual (Good for Splus too!)

Simpler R manual

See also

Modern Applied Statistics with S
W.N. Venables, B.D. Ripley
Springer, 4th ed.

 

 

 


Lecture

Date

Day

Topic

Readings

What’s due?

1

Jan 20

T

 

Course Overview and Simple Linear Regression

KNNL Ch. 1

 

2

Jan 22

Th

 

Parameter Estimation and Prediction

KNNL Ch. 2.1 - 2.7

 

3

Jan 27

T

 

Diagnostics

KNNL Ch. 3

4

Jan 29

Th

 

Matrix Algebra

KNNL Ch. 5.1 - 5.7

 HW1

5

Feb 03

T

 

Matrix Regression

KNNL Ch. 5.8 - 5.13

6

Feb 05

Th

Regression Through the Origin

KNNL Ch. 4.1 - 4.4

 HW2

7

Feb 10

T

 

Bootstrap Resampling

KNNL Ch. 11.5

8

Feb 12

Th

 

Exam 1 Review

 

 HW3 

9

Feb 17

T

 

Polynomial Regression

KNNL Ch. 8.1

10 

Feb 19

Th

 

Multiple Regression

KNNL Ch. 6

Exam 1 Due

11

Feb 24

T

 

Model Selection

KNNL Ch. 9

 

12

Feb 26

Th

 

Multiple Regression Diagnostics

KNNL Ch. 10

13

Mar 03

T

 

Multiple Regression Remedial Measures

KNNL Ch. 11

 

14

Mar 05

Th

 

Experimental Design

KNNL Ch. 15

HW4  

15

Mar 10

T

 

Multi-Factor Studies

KNNL Ch. 19

16

Mar 12

Th

 

Random and Mixed Effects Models

KNNL Ch. 25

 HW5
 

Mar 17

T

 

Spring Break

 

 
 

Mar 19

Th

 

Spring Break

 

17

Mar 24

T

 

Quantitative and Qualitative Predictors I

KNNL Ch. 8.2 - 8.5

 

18

Mar 26

Th

 

Exam 2 Review

19

Mar 31

T

 

Nonlinear Regression I

KNNL Ch. 13.1 - 13.5

20

Apr 02

Th

 

Nonlinear Regression II

 Exam 2 Due

21

Apr 07

T

 

Nonlinear Regression III

 

 

22

Apr 09

Th

 

Generalized Linear Models

 KNNL Ch. 14

 

23

Apr 14

T

 

Logistic Regression

24

Apr 16

Th

 

Poisson Regression

HW6

25

Apr 21

T

Geostatistics

 

26

Apr 23

Th

 

Special Topics

HW7

27

 Apr 28
T
 Special Topics  

28

Apr 30

Th

 

Special Topics

 

 

 

Homeworks: Handed out on Thursday due back the following Thursday.
Lab Projects: Handed out at beginning of Lab due at beginning of next Lab.

Grade: Homeworks 20%, Lab Projects 20%, Exam 1 20%, Exam 2 20%, Exam 3 20%, + 5% Class Participation