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Charge

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... inferences from a clinical trial, incorporating prior knowledge. ... This may require incorporating additional endpoints and measurements into both ... – PowerPoint PPT presentation

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Title: Charge


1
Charge
  • Can one apply a Bayesian analysis where the a
    priori data comes from an adult patient
    population and the new data comes from a
    pediatric population?
  • Dr. S. Hirschfeld, Halloween, 2001

2
What Can Bayesian Methods Do For Us?
  • FDA ODAC, Pediatric Subcommittee
  • November 28, 2001
  • Steven Goodman, MD, PhD
  • Oncology Biostatistics
  • Johns Hopkins University

3
What are Bayesian Methods?
  • Methods based on Bayes theorem

a.k.a. Bayes factor
4
What are Bayesian Methods?
  • Approaches that combine information of
    different types.
  • Provide a formal way to make statistical
    inferences from a clinical trial, incorporating
    prior knowledge.
  • A calculus of uncertainty.
  • A calculus of belief.
  • A calculus of evidence.

5
In what settings have Bayesian designs/analyses
been used?
  • Pharmacokinetics
  • Phase I - CRM
  • Phase II - Thall/Simon
  • Phase III - Spiegelhalter, Parmar, many others
  • Meta-analysis

6
of Bayes Articles in Medical Journals
7
What Bayesian Methods Cannot Do
  • They cannot tell us, in the absence of empirical
    or biological information, how alike children
    and adults are, and how relevant adult
    information is for children.

8
The Charge, Redux
  • Can one apply a Bayesian analysis where the a
    priori data comes from an adult patient
    population and the new data comes from a
    pediatric population?
  • Yes, but only if one makes an a priori judgment
    about how relevant the information from adults is
    for children.

9
What information comes from adults?
  • Pharmacokinetics
  • Pharmacogenomics
  • Dose - Toxicity relationship
  • Types of toxicity
  • Frequency of toxicity / MTD
  • Efficacy
  • Covariate effects on all of above.
  • Uncertainty in all of above.

10
What allows extrapolation to children?
  • Empirical comparisons
  • Knowledge of mechanism
  • Known adult-child biologic and clinical
    properties of analgous drugs.
  • Known sensitivity of children to specific
    toxicities.

11
How is prior information represented?
  • Probability distributions on key parameters,
    expressing our best guess and degree of
    uncertainty.
  • Key parameters
  • MTD
  • Response / Survival rate
  • Toxicity rate
  • Shape/slope of dose-toxicity curve
  • Pharmacokinetic parameters

12
Bayesian Representation of Prior Knowledge
13
Another view of prior information
  • Prior probability distributions are
    mathematically equivalent to information from N
    prior individuals.
  • Made-up data.

14
Even weak knowledge Subjects not needed
  • Confidence that cure rate lies within a 40 range
    (e.g. 20 -gt 60) corresponds to 25 patients
    worth of experimental information.
  • Confidence that cure rate lies within a 20 range
    (e.g. 20 -gt 40) corresponds to 100 patients
    worth of experimental information.

15
What do these methods do for us?
  • Properly account for uncertainty/ knowledge in
    both previous and current experimental data.
  • Minimize the amount of information necessary from
    the current experiment - of value only if
    priors are reasonably accurate.
  • Promote research treatments that reflect, as
    closely as possible, our best guess about what
    would be best for the child based on all prior
    information.
  • Allow flexibility in design, because all Bayesian
    designs can be adaptive, i.e. responsive to
    accumulating data.

16
What do these methods do for us? (cont.
  • Encourage extremely valuable discussions about
    prior knowledge and uncertainty, and about goals
    of study. e.g. toxicity target in CRM.
  • Most standard approaches, used flexibly and
    with common sense, can become operationally
    indistinguishable from Bayesian ones, but this
    often requires more ad-hocery, and lack of
    theoretical foundation.

17
Charge
  • Can one apply a Bayesian analysis where the a
    priori data comes from an adult patient
    population and the new data comes from a
    pediatric population?

18
Final Answer
  • Yes, but only if the adult data is deemed
    relevant or informative.
  • More empirical studies of this relevance need to
    be conducted, and ongoing.
  • This may require incorporating additional
    endpoints and measurements into both adult and
    pediatric trials to facilitate this comparison.
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