University of Calgary

Statistics Graduate Seminar

Submitted by admin on Fri, 01/25/2008 - 10:17am.

The History of Statistics

Submitted by jlongwor on Mon, 03/26/2012 - 8:48am.
Mar 29 2012 - 4:00pm
Mar 29 2012 - 4:50pm
Speaker: 

Shan Zhu

Location: 
MS 365

In this presentation, I will introduce some Statisticians who make great contributions to the development of Statistics and their main achievements.

Semi parametric risk models: an application to a real world data

Submitted by jlongwor on Mon, 03/19/2012 - 4:28pm.
Mar 22 2012 - 4:00pm
Mar 22 2012 - 4:50pm
Speaker: 

Shiva Wagle

Location: 
MS 365

In this presentation, I will be making a comparison of two classes of survival risk models. These are the multiplicative and the additive models.

Some basic ideas of nonparametric and semiparametric statistics

Submitted by jlongwor on Thu, 03/15/2012 - 10:29am.
Mar 15 2012 - 4:00pm
Mar 15 2012 - 4:50pm
Speaker: 

Tasnima Abedin

Location: 
MS 365

This talk will discuss various aspects of nonparametric and semiparametric statistics, when to use them and what are their advantages and disadvantages along with some examples.

Binocular sensitivity and specificity of screening tests in prospective studies or paired organs

Submitted by jlongwor on Tue, 03/06/2012 - 10:00am.
Mar 8 2012 - 4:00pm
Mar 8 2012 - 4:50pm
Speaker: 

Yamuni Perera

Location: 
MS 365

Binocular data typically arise in ophthalmology where pairs of eyes are evaluated through some diagnostic procedure for presence of certain diseases. Treating eyes as independent and adopting the usual approach in estimating the sensitivity and specificity of a diagnostic test is unwise because there is a correlation between eyes. Binocular accuracy measures are assessed and compare them with conventional measures in a simulation study.

The truth wears off, or the god cast dice?

Submitted by jlongwor on Tue, 02/28/2012 - 2:26pm.
Mar 1 2012 - 4:00pm
Mar 1 2012 - 4:50pm
Speaker: 

Nana Xing

Location: 
MS 365

Many results that are rigorously proved and accepted start shrinking in later studies. Decline Effect lets us ponder: Is there something wrong with the scientific method?