Courses I taught (unless otherwise specified, these courses are taught at University of Kentucky)

Spring 2017

  • Sta 709-001 Advanced Survival Analysis   MWF 10:00AM - 10:50AM at MDS 335 course home page

    Fall 2016

  • Sta 635-001 Survivability and Life Testing.    MWF 1:00 pm - 1:50 pm at MDS 337;  course homepage To get a head start, you should review properties of exponential distributions by reading my notes (you can find it in the course homepage).

    Spring 2016

  • Sta 709-001 Advanced Survival Analysis   MWF 10:00AM - 10:50AM at MDS 335 course home page

    Fall 2015

  • Sta 635-001 Survivability and Life Testing.    MWF 1:00 pm - 1:50 pm at MDS 335;  course homepage To get a head start, you should review properties of exponential distributions by reading my notes.

    Spring 2015

  • Sta 695-002 Advanced Statistics Using R  Tues./Thur. 11:00AM - 12:15PM at MDS   Two examples of simple R packages (1) Sta695MZ (2)  Cdemo      A Latex file of class notes     Bank.R    Assignment: write a BinDiff( ) function for LR confidence interval for the difference of two binomial proportions.  BinRatio

    Fall Semester 2014

  • Sta 705 Advanced Computational Inference MWF 10:00 am - 10:50 am at MDS 335; Prereq: STA 605 and STA 701. course homepage Final exam time:

    Spring Semester 2014

  • Sta 606 Theory of Statistical Inference I Textbook: Casella and Berger: Statistical Inference 2nd Ed. MWF 1:00PM - 1:50PM at MDS 337 This couse is a continuation of Sta 623 We start from Chapter 5 section 3.  Course home page
  • Sta 709 Advanced Survival Analysis  There is no required textbook. MWF 10:00AM - 10:50AM at MDS 335   We use lecture notes and several reference books. Course home page.

    Fall Semester 2013

  • Sta 635   Survivability and Life Testing.   Textbook: Survival Analysis Using SAS  2nd Ed published by SAS. Course homepage.
  • Sta 715 section 010 & 013.

    Spring Semester 2013

  • Sta 624   Applied Stochastic Processes. We use textbook by S. Ross. course homepage
  • Sta 709   Advanced Survival Analysis There is no required textbook.We use lecture notes and several reference books. course homepage

    Fall Semester 2012

  • Sta 635   Survivability and Life Testing. Tuesday and Thursday 4:05PM to 5:20PM Room 206 MDS Prereq: Sta 606 (Statistical Inference) Our textbook is Survival Analysis Using SAS  2nd Ed published by SAS.You may start by review the exponential distribution: Notes on exponential distribution
    • Course Home Page
  • Sta 701-001   Advanced Statistical Inference Tuesday and Thursday 2:00PM to 3:15PM Room 335 MDS Prereq: sta700 Course Home Page 

    Spring 2012

  • Sta 624   Applied Stochastic Processes. We use textbook by S. Ross. course homepage
  • Sta 665   Categorical Data Analysis We use textbook by A. Agresti. course homepage

    Fall Semester 2011

  • Sta 635   Survivability and Life Testing. Tuesday and Thursday 11:00AM to 12:15PM CB 208 Prereq: Sta 606 (Statistical Inference) You may start by review the exponential distribution: Notes on exponential distribution.  course home page
  • Sta 709   Advanced Survival Analysis Tuesday and Thursday 2:00PM to 3:15PM  Rm.03-OT  Prereq: Sta 635, Sta 701. You may start by review what you learned in Sta635, and convergence stuff from Sta701, and Poisson process from Sta624. (Poisson process, Martingales, and play the Applet from my homepage)  course home page

    Winter Quarter at Stanford University (Jan. 2011 - March 2011)


  • Stats 203   Introduction to Regression Models and Analysis of Variance

    Spring 2010


  • Sta 291 section 001 - 006 STATISTICAL METHOD Lecture: Tuesdays + Thursdays 11:00am - 11:50am .  Lab time differ for each section. Also lab will start from the week of Jan. 18.  course web page
  • Sta 709 section 001 ADVANCED SURVIVAL ANALYSIS Tuesdays + Thursdays 12:30pm - 1:45pm. This is an advanced level course for students in the Ph.D. program. We assume students know basic survival analysis (sta635), and large sample theory as in sta 700 and sta701. course web page

    Fall 2009

  • Sta 635 section 001 Survivability and Life Testing  MWF 1:00pm - 1:50pm at  CB 309; Prereq: Sta601 or Sta525 or equivalent.   a formal syllabus  Final Exam: Dec. 18 or Dec. 14? 2009 1:00pm
    Download all the SAS programs and data sets from the textbook here .   survival analysis with R   class web page

  • Sta 705 section 001 Advanced Computational Inference MWF 12:00pm - 12:50pm at CB 309; Prereq: STA 601 and STA 624. Final exam time:  Dec. 14 or Dec. 18? 2009. 10:30am.

    Spring 2009

  • Sta 321section 001 Basic Statistics Theory I  TH 2:00pm-3:15pm at CB 304; Prereq: STA/MA 320 The textbook is optional but highly recommended.  We cover Chapters 8, 9, 10, 11 plus the necessary prereq from earlier chapters (like some of chapter 7) of the book: Mathematical Statistics with Applications, 6th edition (2001 or 2002 publication Date), by Wackerly, Mendenhall, Scheaffer. Please note that this is NOT the latest (2007) 7th edition. So there are many used 6th edition copies you can buy online for below $35, instead of the $140 of the 7th edition. Final Exam time: 5/5/2009.  Class web page

  • Sta 695 section 001 Topics in Survival Analysis and Empirical Likelihood TH 12:30pm - 1:45pm at CB 309; 3 Credits (the catalog incorrectly list it as 1-3 credits). Prereq: STA 601 Starting time: 1/15/2009 Final exam time: 5/7/2009  class web page
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    Fall 2008

  • Sta 705 section 001 Advanced Computational Inference MWF 12:00pm - 12:50pm at CB 309; Prereq: STA 601 and STA 624. Final exam time: 10:30am  Dec. 17, 2008

  • Sta 531 section 001 Theory of Probability MWF 10:00am - 10:50am TR 12:30pm - 1:45pm CB 309  Text: Statistical Inference by Casella and Berger. (first 5 chapters) Classes: from Aug. 27 to Oct. 15 You are encouraged to start reading ASAP.  syllabus , homework1 , homework2 , homework3 , homework4 , homework5 , homework6 , homework7 , homework8 , test+solution+A last problem     

    • Spring 2008

  • Sta 291 Sections 007, 008, 009, 010, 011, 012   STATISTICAL METHOD (3 credits)   Prereq: MA113, MA123 or equivalent.
    • Time/place:  Monday and Wednesday (Lecture) 2:00 - 2:50 PM  in CB 102    Course web page
    Lab: in CB307 (section 007  W 3:00-3:50PM); (section 008 W 4:00-4:50PM); (section 009 W 5:00-5:50PM);
     (section 010 Thursday 4:00-4:50PM); (section 011 Thursday 5:00-5:50PM); (section 012 F 11:00-11:50AM)

  • Sta 635-001 Survivability and Life Testing a formal syllabus Prereq: Sta601 or Sta525 or equivalent.
    Lecture: MWF 12:00 - 12:50PM at  CB309; Final Exam:  Apr 28, 8:00am -10:00am
    Download all the SAS programs and data sets from the textbook here .   survival analysis with R   Beginner R   list of homeworks   list of possible projects   For a review of likelihood based statistical procedures, see chapter 10 of this lecture notes.

    Fall 2007

  • Sta 705 section 001 Advanced Computational Inference MWF 11:00AM - 11:50AM CB 307 Prereq: STA 601. STA 624. Final exam time Dec. 10, 10:30am
  • Sta 662 section 001 Bootstrap and Jackknife: Resampling and Related Methods MWF 1:00PM - 1:50PM CB 307 Prereq: STA 601. STA 603 Syllabus and more. Final exam time Dec. 14, 1:00pm

    Spring 2007

  • Sta 291 Section 007, 008, 009, 010, 011, 012   STATISTICAL METHOD (3 credits)   Prereq: MA113, MA123 or equivalent.
    • Time/place: Class WF 10:00AM - 10:50 AM   CB 102   
    Lab: in CB307 (007 T 3:00-3:50PM); (008 T 5:00-5:50PM); (009 T 6:00-6:50PM); (010 T 7:00-7:50PM); (011 T 8:00-8:50PM); (012 W 8:00-8:50AM)
    Exams: TBA  
    Text: Statistics for Management and economics by Keller  Detailed course information including Syllabus.
     
  • Sta 709-001 Advanced Survival Analysis MWF 9:00AM - 9:50AM CB 309 Prereq: STA 635. STA 701 Syllabus and more. Final Exam 4/30/2007

    Fall 2006

  • Sta 635-001 Survivability and Life Testing a formal syllabus class: MWF 1:00PM - 1:50PM at OT 145 Download all the SAS programs and data sets from the textbook here .   survival analysis with R   Beginner R   list of homeworks   list of possible projects   Finished projects
  • Sta 531-001 Theory of Probability Text: Statistical Inference by Casella and Berger. (first 5 chapter) You are encouraged to start reading ASAP. class: MWF 11:00AM - 11:50AM at OHR 53 and TR 9:30AM - 10:45AM at CB 309 homework1 , homework2 , homework3 , homework4 , homework5 , homework6 , homework7 , homework8 , homework9 , homework10 ,

    Spring 2006

  • Sta/OR 525-001 Introductory Statistical Inference Tues. & Thur. 12:30PM - 1:45PM, POT 107
    Official Course Description from the Bulletin: Simple random sampling, statistics and their sampling distributions, sampling distributions for normal populations; concepts of loss and risk functions; Bayes and minimax inference procedures; point and interval estimation; hypothesis testing; introduction to nonparametric tests; regression and correlation. Prereq: STA 320 or STA 524 or STA 424G. (Same as OR 525.) a formal syllabus
  • Sta 709-001 Advanced Survival Analysis MWF 11:00-11:50AM CB 214 Prereq: STA 635 Canceled :-(
  • Sta 624-001 Applied Stochastic Processes TR 9:30AM - 10:45AM at DH 353 a formal syllabus homework1 homework2 More homework on the formal syllabus page.

    Fall 2005

  • Sta 635-001 Survivability and Life Testing a formal syllabus possible project topics Homework1 & 2 & 3, Homework4 , Test/Homework5 , rankreg.zip , Homework6 , Takehome
  • Sta/OR 524-001 Probability Course info Homework1, Homework2, Homework3, Homework4, Homework5 Homework6 Homework7

    Spring 2005

  • Sta 701-001 Advanced Statistical Inference I Course Home page
  • Sta 709-001 Advanced Survival Analysis Syllabus

    Fall 2004

  • Sta/Ma 320-001 Introductory Probability Course Home page
  • Sta 503-001 Introduction to Statistical Methods Syllabus Handout: Install and use R on Windows PC . Homework 1 , Homework 2 , Homework 3 , Homework 4 , Homework 5 , Homework 6 , Homework 7 , Some data sets: data set 1 , data set 2 , data set 3 , data set 4 , data set 7 , data set 8 (lynx) ,

    Summer 2004

  • Sta 200-021 Statistics: A Force on Human Judgment

    Winter quarter 2004 at UCLA

    Department of Biostatistics, University of California, Los Angeles

  • Biostat 277 Robust and Modern Nonparametric Statistics Course Home page

    Spring 2003

  • Sta 321-001 Basic Sta Theory I. TR 12:30PM - 1:45PM CB 237   The official course description in the catalog is very simple: Simple random sampling; Point and interval estimation; Hypothesis testing. We will try to find a level to cover these materials that are most productive for the majority of the enrolled students. Notice the textbook for this course is OPTIONAL. You may use a number of different books. You do not need to buy the recommended book if you already have a similar book. Course Home page
  • Sta 695-001 Adv Survival Analysis. TR 9:30AM - 10:45AM CB307   Please note the new location! Course Home page

    Fall 2002

  • Sta 200 section 007 and 008 Statistics: A Force on Human Judgment  
  • Sta 635-001 Survivability and Life Testing Tues. & Thur. 11:00AM-12:15PM CB 237 Prereq: Sta601 or Sta525 or equivalent. Syllabus in pdf form.
    Textbook: Survival Analysis Using the SAS System by Allison. I will give handouts to supplement the book. The sas programs and data sets from the book is available for FREE at download .     Online book.   Examples from books.   Homework
    Handout 2 , 3 . leukemia data set , Stanford Heart data (I) , Stanford Heart data (II) , Stanf3. More data sets from a recent book by Therneau and Grambsch: Modeling Survival Data A report similar to the above book Extending Cox model, and notes on using survival package in Splus/R survival package.
    Some SAS macros for Frailty Models

    Spring 2002

  • Sta 200 section 015 and 016 Statistics: A Force on Human Judgment

    Fall 2001

  • Sta 695-002 Special Topics in Statistics: Bootstrap and Related Methods (3)
    Textbook: An Introduction to the Bootstrap by Efron and Tibshirani. Chapman Hall ($78). Another equally good book (may be at a little higher level): Bootstrap Methods and their Applications by Davison and Hinkley. Cambridge Univ. Press (the paperback version only sells for $44) Both books are very good, if I have to chose one for this course, I chose Efron and Tibshirani.
    Time/Place: Tuesday and Thursday 2:00-3:15pm TEB 207 Syllabus and A web page promoting resampling Some notes note1 , Example2order , proj
     
  • STA 503-001 INTRODUCTION TO STATISTICAL METHODS (4)
    • Prereq: MA 322.
    Summary statistics, graphical methods, point and interval estimation, hypothesis testing, experimental design, simple and multiple regression, ANOVA as a special case of regression, categorical data analysis. Lecture, three hours; laboratory, two hours per week.
    Well, this is the official description. Our mileage may vary :-) We will use software packages SAS and R/Splus.
    Text: Statistical Methods in Medical Research 3rd Ed. by P. Armitage & G. Berry Published by BLACKWELL SCIENTIFIC PUBLICATIONS.
    Lecture: Tuesdays and Thursdays 9:30am - 10:45am Room: Dicky Hall 331 (can we move to CB307?)
    Lab: Wednesdays CB 307 (but no lab on the first week) Final Exam: Dec. 10, 10:30AM in CB307 Syllabus and some data sets/examples: data set 1 , data set 2 , data set 3 , data set 4 , data set 7 , data set 8 (lynx) ,

    Spring 2001

  • Sta 635-001 Survivability and Life Testing (3) Tues. and Thur. 9:30-10:45am CB 245 Prereq: Sta601 or Sta525 or equivalent
    Either the book: Survival Analysis Using SAS System by Allison or Survival Analysis by Klein and Moeschberger can be used as text book. I will give handouts to supplement either book.
    In choosing the book, you should know that the sas programs and data sets from the first book is available for download .
    For instructions on how to start using software R, here is a tutorial Install and use R on Windows PC. Even if you do not plan to use R, you may want to download it for the data sets it contains. (but I think you will find learning R helps you to understand statistics)
    Syllabus and leukemia data set , Standford Heart data (I) , Stanford Heart data (II) , Stanf3. A recent excellent book by Therneau and Grambsch: Modeling Survival Data
    Some SAS macros for Frailty Models

    Fall 2000

  • STA 503-001 INTRODUCTION TO STATISTICAL METHODS (4)
    • Prereq: MA 322.
    Summary statistics, graphical methods, point and interval estimation, hypothesis testing, experimental design, simple and multiple regression, covariance and ANOVA as a special case of regression, categorical data analysis. Lecture, three hours; laboratory, two hours per week.
    Well, this is the official description. Our mileage may vary :-) For example the lab is more like one hour per week. But it is true that we will use more than one software packages (SAS, R/Splus).
    Text: Statistical Methods in Medical Research 3rd Ed. by P. Armitage & G. Berry Published by BLACKWELL SCIENTIFIC PUBLICATIONS.
    Lecture: Tuesdays and Thursdays 9:30am - 10:45am Room: Funkhouser Building - B1
    Lab: Wednesdays (No lab on Aug. 23 (the first day of class)) Syllabus and some data sets/examples: data set 1 , data set 2 , data set 3 , data set 4 , data set 7 , data set 8 (lynx) , power.binorm.r , power.chisq.r , 503note2 , Sample sas program. Sample sas program. Sample sas program.
  • STA 701-001 ADVANCED STATISTICAL INFERENCE I (3)
    • Prereq: MA 571 and Sta601. Basic concepts of desicion theory; sufficiency and completeness; completeness of multiparameter exponential family. Unbiasedness and invariance of desicion rules; Bayes minimax and invariant estimators; testing of hypotheses and optimality properties.
    Lecture: Tuesdays and Thursdays 12:30-1:45 pm Room: Barker Hall 301 Hevner data,

    Spring 2000

  • STA291 Section 013  STATISTICAL METHOD (3 credits)

    • Introduction to principles of statistics. Statistical description of sample data including frequency distributions, measures of central tendency, and measures of dispersion. Theoretical distributions/models, statistical estimation, and hypothesis testing. Introduction to simple linear regression. Prereq: MA113, MA123 or MA131 or equivalent
    Time/place: Tues. and Thur. 11:00am-12:15pm  CB   Final Exam: May 2, 8:30-10:30pm   Text: Understanding Basic Statistics by Brase & Brase, Published by Houghton Mifflin Company Syllabus, homework assignments and computer assignments; Example of conditional probability.
     
  • STA570 Section 003/004 Basic Statistical Analysis (4 credits)
    Lecture: Tues. and Thur. 3:30-4:45pm CB 201. Lab: Monday 5:00pm CB307. This is a methods course. We will be using computer softwares a lot. You have your choice of statistical packages. (SPSS, SAS, Splus/R, Stata, Minitab ...), but in the lab that we will be using, there are SAS and R only. So either bring your own laptop computer or try to use SAS/R. (its really easy to use!!)
    You can install R on your Win95/Win98/WinNT machine by Download software R. And here is a Survival Guide to R. Course Syllabus, and an old outline. (To be updated).
     

    Fall 1999

  • Sta532 Theory of Statistical Inference I (3 credits)

    • Textbook: Statistical Inference by Casella and Berger, Duxbury Press. MTWTF from 11:00am. (50min for MWF, 75min for TH) Starting from Oct. 18, 1999. Room: CB 241
     
  • STA635 Survivability and Life Testing (3 credits)

    • Time: Tuesday and Thursday 9:30-10:45am Room: AH 255 (Anderson Hall) (we move to CB307 after labor day)
    Textbook: (required) Survival Analysis Using The SAS System: A Practical Guide. by P. Allison, Published by SAS Inst. Syllabus (postscript). Assignments Data sets (I), data set (II), Stanf1, Stanf2, Stanf3

    Spring 1999

  • Sta 635 Survivability and Life Testing

    • Text: Survival Analysis: Techniques for Censored and Truncated Data. By Klein and Moeschberger. Published by Springer.
    Survival data; censoring; truncation. Parametric survival models; hazard function; Exponential and Weibull models; Likelihood based inference procedures; Kaplan-Meier and related estimators; comparing 2 groups of survival data; log-rank and other related tests. Cox regression model; time dependent covariates in Cox model.
  • Sta 570 - 005/006 Basic Statistical Analysis (4 credits) Download Software: R version 0630 , and The help page of R0630 . I improved the packaging so You no longer need the unpacking utility.

    • Time: Lecture: T H 4:00-5:15pm Place: HS 501C
    Lab: (section 005) W 6:00-7:50pm HS 213, (section 006) T 5:30-7:20pm HS 213 First day of lecture: Jan. 14. Final Exam: May 6, 3:30pm
    Text book (required): "Biostatistical Analysis", 4th edition by J.H. Zar published by Prentice Hall.
    Prereq: MA 109 (College Algebra) or equiv. for graduate students; undergraduates must have consent of instructor.
    Introduction to methods of analyzing data from experiments and surveys; the role of statistics in research; statistical concepts and models; probability and distribution function; estimation; hypothesis testing; regression and correlation; analysis of single and multiple classification models; analysis of categorical data. Syllabus , and Hints for R . Outline .

    Spring 1998

  • Sta 601 THEORY OF STATISTICAL INFERENCE II (3)

    • Notice the time printed on the catalog is incorrect. We meet TR 9:30am-10:45am at CB 205 Text: Statistical Theory 4th ed. By Bernard W. Lindgren Published by Chapman & Hall (same book as Sta531/532---this does not mean 601 is the same course as 531/532, but we continue use the book on topics that 531/532 never touched.)
    Prereq: Sta 531/532.
    Officially Sta601 includes: Elements of decision theory; properties of estimators; point and interval estimation; hypothesis-testing; sequential testing(?); inference from categorical data; linear regression as conditional expectation; multivariate normal distribution(?). homework.
  • Sta 291-006 STATISTICAL METHOD (3)

    • Fall 1998

  • Sta 695-001 Special Topics in Statistics: The Bootstrap Method and Related Topics
  • Sta 291-008 STATISTICAL METHOD (Software R and WinZip)

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    Fall 1997

  • Sta 503 INTRODUCTION TO STATISTICAL METHODS (4)
  • Sta 291 STATISTICAL METHOD (3)


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    Spring 1988  at MIT

  •   18.441 Statistical Inference  Syllabus
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