Registration for a live webinar on 'Precision medicine treatment for anticancer drug resistance' is now open.
See webinar detailsWe noted you are experiencing viewing problems
-
Check with your IT department that JWPlatform, JWPlayer and Amazon AWS & CloudFront are not being blocked by your network. The relevant domains are *.jwplatform.com, *.jwpsrv.com, *.jwpcdn.com, jwpltx.com, jwpsrv.a.ssl.fastly.net, *.amazonaws.com and *.cloudfront.net. The relevant ports are 80 and 443.
-
Check the following talk links to see which ones work correctly:
Auto Mode
HTTP Progressive Download Send us your results from the above test links at access@hstalks.com and we will contact you with further advice on troubleshooting your viewing problems. -
No luck yet? More tips for troubleshooting viewing issues
-
Contact HST Support access@hstalks.com
-
Please review our troubleshooting guide for tips and advice on resolving your viewing problems.
-
For additional help, please don't hesitate to contact HST support access@hstalks.com
We hope you have enjoyed this limited-length demo
This is a limited length demo talk; you may
login or
review methods of
obtaining more access.
- Design
-
1. An introduction to randomization for clinical trials 1
- Prof. William Rosenberger
-
2. An introduction to randomization for clinical trials 2
- Prof. William Rosenberger
-
3. Randomisation, blinding and drug supply in interactive voice response trials
- Mr. Damian McEntegart
-
4. Randomization in clinical trials: time for fresh consideration?
- Dr. Alex Sverdlov
- Analysis
-
5. Design and conduct of non-inferiority trials
- Prof. Valerie Durkalski-Mauldin
-
6. Nonparametric covariate adjustment
- Prof. Michael Akritas
-
7. The impact of randomization on the evidence of a clinical trial
- Prof. Nicole Heussen
- Theory
-
8. Historical and ethical issues in trial design
- Dr. J. Rosser Matthews
-
9. Likelihood ratios and the strength of statistical evidence
- Prof. Jeffrey Blume
- Randomization, Masking and Allocation Concealment
-
11. Detection of and adjustment for selection bias in randomized controlled clinical trials
- Prof. Lieven Nils Kennes
-
12. Innovative and effective subject randomization methods
- Prof. Wenle Zhao
-
13. Selection bias in studies with unequal allocation
- Dr. Olga M. Kuznetsova
- Archived Lectures *These may not cover the latest advances in the field
-
14. Design and conduct of equivalence trials
- Prof. Valerie Durkalski-Mauldin
-
15. Dose-finding trials in oncology
- Prof. Anastasia Ivanova
-
16. Allocation concealment, prediction and selection bias
- Prof. David Torgerson
-
17. Pseudo cluster randomization
- Dr. George Borm
-
18. Introduction to flexible, adaptive trial design
- Dr. Cyrus Mehta
-
19. Randomization in clinical trials
- Prof. William Rosenberger
-
20. Novel methods for randomizing
- Dr. William Grant
-
21. Permutation tests
- Dr. YanYan Zhou
-
23. Multiple analyses in clinical trials
- Prof. Lemuel Moye
-
24. Handling of missing data in clinical trials
- Dr. Linda Yau
-
26. N-of-1 randomized clinical trials
- Prof. Patrick Onghena
Printable Handouts
Navigable Slide Index
- Introduction
- Table of contents
- History of clinical trials and randomization
- Principles of research
- Promoting comparability between study groups
- Providing a probabilistic basis for inference
- Providing unpredictability to treatment assignment
- Trial of streptomycin and tuberculosis
- Description of randomization in streptomycin trial
- Continued use of alternating controls
- Justifying additional component of randomization
- Purpose of this presentation
- Randomization procedures
- Complete randomization
- Restricted randomization
- Forced balance procedures (1)
- Forced balance procedures (2)
- Blocked procedures
- Adaptive procedures (1)
- Adaptive procedures (2)
- Comparison of procedures
- Simple example of comparison
- Outlined paths of different randomizations
- Balancing properties
- 1st great property of randomization: comparability
- Simulation of unknown covariates
- Simulation of unknown covariates (summary)
- 2nd great property of randomization: predictability
- Predictability
- Predictability simulation across procedures
- Predictability simulation of permuted block designs
- Predictability vs. balance: competing objectives
- Trade-off plots
- Trade-off plots (example)
Topics Covered
- Complete randomization
- Forced balance procedures
- Blocked procedures
- Adaptive procedures
- Comparison of procedures
- Balancing properties
- Comparability on unknown covariates
- Predictability
- Trade-off plots
Links
Series:
Categories:
Talk Citation
Rosenberger, W. (2016, September 29). An introduction to randomization for clinical trials 1 [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved December 13, 2024, from https://doi.org/10.69645/HFDP2078.Export Citation (RIS)
Publication History
Financial Disclosures
- Prof. William Rosenberger, Other: Lecture materials based on scholarly textbook published with John Wiley and Sons, accrues royalties.
An introduction to randomization for clinical trials 1
Published on September 29, 2016
34 min
A selection of talks on Pharmaceutical Sciences
Transcript
Please wait while the transcript is being prepared...
0:00
This is a Henry Stewart talk
on an introduction
to randomization for clinical trials.
My name is William F. Rosenberger.
I'm University Professor
and Chairman
of the Department of Statistics
at George Mason University.
I also have written two books
on the subject of randomization.
0:18
Randomization
is a time-tested concept
that has appeared
in clinical trials since the 1950s.
I'm going to discuss
different randomization procedures,
and then I'm going to compare them,
and then I'm going to talk about
using the randomization itself
as a basis for inference.
I'll discuss stratification
in clinical trials
and then draw some conclusions.
We begin with an introduction.
0:46
Clinical trials had been
the gold standard
in medical research
for the past 70 years.
Clinical trials began
after the Second World War,
and in fact, some of the great
cryptographers in the war
later became biostatisticians
at the National Institutes
of Health
and the Medical Research Council
in Britain following the war.
And there we have the development
of modern biostatistics,
or in the UK
often called medical statistics.
In this talk, I'm going to focus
on a particular area
of statistical methodology
that really forms
the backbone of clinical trials,
and that is
the concept of randomization.
Initially,
randomization was developed
in the context
of agricultural studies.
Sir R. A. Fisher
was one of the leading proponents
but randomization
has a natural home
in the context of clinical trials.