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ALLSTAT  September 2008

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Subject:

FW: COURSE : A PRACTICAL COURSE IN TIME-TO-EVENT ANALYSIS (INTERMEDIATE/ADVANCED)

From:

Val Gebski <[log in to unmask]>

Reply-To:

Val Gebski <[log in to unmask]>

Date:

Mon, 1 Sep 2008 15:16:42 +1000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (272 lines)

 

The Statistics Department at the NHMRC Clinical Trials Centre
(University of Sydney) is proud to present an upcoming course delving
into the complicated world of time-to-event analysis.

 

A Practical Course in Time To Event Analysis is an intensive course
aimed at biostatisticians. 

The course introduces participants to the theoretical and practical
issues facing researchers who deal with time-to-event data on a regular
basis and who wish to use advanced statistical techniques to answer
complicated clinical questions. 

Who should attend?

The course is ideally suited biostatisticians working in clinical and
health research areas.  Ideally, participants should be familiar with
time-to-event data, have a basic understanding of proportional hazards
modelling and be comfortable to be immersed in more complex theories.
Clinicians with a strong understanding of time-to-event concepts may
also find this course of value. 

Due to the practical nature of this course, only a limited number of
people will be able to register for the course.

 

Course emphasis

The course is designed to discuss both theory and application of simple
and complex time-to-event analysis strategies.  There is emphasis on the
practical experience of performing analyses with discussion about
advantages and pitfalls for different approaches and the interpretation
of results. The course will be presented at an intermediate/advanced
level.

 

Proposed Topics

1. Displays:

            Kaplan-Meier 

            Cumulative incidence

            Displays of time-to-event graphs

2. Summary data

            Median

            Percentages at different time points

            SE's of estimates

            Confidence intervals

3. Comparisons of several time-to-event curves

            Logrank

            Stratified logrank

            Tests for trend

4. Effect of heavy censoring and non-proportional hazards

            Peto-prentice test

5. Proportional Hazards (PH) models

            Cox model 

            Risk score development  

            Residuals for testing GOF 

            Residuals for testing PH assumption 

            Model diagnostics  - collinearity

            Clustered PH models

            Cross-over studies involving time-to event outcomes

6. Stratified PH models

7. Time-dependent PH regression

            External td covariates

            Internal td covariates

            Use of the offset to incorporate external information

            Extended Cox model

            Landmark analyses 

8. Design issues in time-to-event analysis

            Sample-size and power calculations

            Number of events, effect size and study duration

            Follow-up and accrual time considerations

            Non-compliance

9. Recurrent events

            Anderson-Gill model

            Marginal Model (Wei, Lin & Weissfield)

            Condition model (Prentice,Williams & Peterson)

            Conditional model - gap between recurrent events

10.  Competing risks

            Cumulative Incidence curves (CIC)

            Comparison of two or more CIC's [Gray]

            Conditional probability curves (CPC)

            Comparison of two CPC's [Pepe Mori]

            Regression models

            Lunn-McNeil cause specific hazards

            Fine and Gray cumulative incidence

11. Other topics in time-to-event data

            Censored linear regression

            Left truncated data

            Censoring types

 

Dates

 

Full Course (5 days) : Monday, 22nd - Friday 26th September 2008 

 

Intermediate component (3 Days)

Monday, Tuesday & Wednesday, 22nd - 24th September 2008

 

Advanced component (3 days)

Wednesday, Thursday & Friday, 24th - 26th September 2008

 

Note: The advanced course starts on Day 3 of the 5 day course. Wednesday
24th September is included in both components of the course.

 

 

Course fees ($AUD, includes GST)

 

 

Days 1-5 

Full 

Days 1-3 Intermediate

Days 3-5 Advanced

Standard rate

$2,500

$1,850

$1,850

 

*       Confirmation of registration (with receipt) will only occur with
full payment.

 

Venue

The course will be held at the Citigate Central Sydney Hotel, 169-179
Thomas Street, Haymarket.  This is ideally located in Sydney's CBD, with
ready access to public transport & accommodation.  Excellent restaurants
and cafes are located at nearby Chinatown and Darling Harbour.

 

Laptops

Participants should bring their own laptop.   User-friendly software
will be provided as part of the course.

Note : If participants are unable to provide their own laptop, please
contact us and we will try to make alternative arrangements.

 

Further Information

Tel: +61 2 9562 5000 and ask for Kew Flood

E-mail:  [log in to unmask] 

 

 

 

 

A/Professor Val Gebski

Director, Biostatistics and Research Methodology 

NHMRC Clinical Trials Centre University of Sydney, 

Camperdown NSW 1450 Australia

Ph:  61-2-9562 5000

Fax  61-2-9565-1863

Mob: 0412 309 967

 

 


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