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Adaptive Trial Designs Adaptive Trial Designs

Adaptive Trial Designs - PowerPoint Presentation

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Adaptive Trial Designs - PPT Presentation

Global Forum on Bioethics in Research Emerging Epidemic Infections and Experimental Treatments November 4 2015 Lord Kelvin I often say that when you can measure what you are speaking about and express it in numbers you know something about it but when you cannot measure it when you canno ID: 490210

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Slide1

Adaptive Trial Designs

Global Forum on Bioethics in Research

:

Emerging Epidemic Infections and Experimental Treatments

November 4, 2015Slide2
Slide3
Slide4

Lord Kelvin

I often say that when you can measure what you are speaking about and express it in numbers, you know something about it; but when you cannot measure it, when you cannot express it in numbers, your knowledge is of a meagre and unsatisfactory kind; it may be the beginning of knowledge, but you have scarcely in your thoughts advanced to the state of Science, whatever the matter may be.Slide5

Nietzsche

Against that positivism which stops before the phenomena, saying “there are only facts” I should say: no, it is precisely facts that do not exists, only

interpretations…Slide6

Truth

The truth cannot be told so as to be understood but not believed.

William BlakeSlide7

Randomized Control

Trial

Time

Sample

Of

Persons

Inception Cohort

Random

Allocation

Treatment

Measure

outcomes

Sampling is done here

ControlSlide8

Ethical issues related to study design for trials on therapeutics for Ebola Virus Disease

In

this context, an adaptive trial design that has the capacity to yield meaningful and interpretable data quickly in the midst of the (Ebola) epidemic might be considered as preferable. An adaptive design could include elements of randomized controlled trials, cluster randomization, stepped wedge, and single arm comparison trials. Adaptive trial designs are more complex to coordinate among sites.Slide9
Slide10
Slide11
Slide12
Slide13

Cartwright’s Causal Criterion

C causes E if and only if P (E/C) +/- {F

1

+ F2…FN

} > P(E/-C} +/- { F

1

+ F

2

…F

N

} where F

1

…F

N are a complete set of covariatesAn idealized model that sets out precise ceteris paribus conditions