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Blood & Cancer

93 EpisodesProduced by MDedge Hematology OncologyWebsite

Interview-style hematology/oncology podcast from MDedge Hematology-Oncology. The show is hosted by Dr. David Henry with Pearls from Dr. Ilana Yurkiewicz for clinical hematology and oncology health care professionals. The information in this podcast is provided for informational and educational purpo… read more


Drug development stats and research

Statistics 101 for the oncologist


Episode 12:

David L. Streiner, PhD, of McMaster University and the University of Toronto, joins Blood & Cancer host David Henry, MD, of Pennsylvania Hospital, Philadelphia, to break down the basic statistics knowledge that doctors need – but may not have – to understand and contextualize research findings.

In Clinical Correlation, Ilana Yurkiewicz, MD, of Stanford (Calif.) University talks about reclaiming the term “sorry.” Dr. Yurkiewicz writes a regular column for Hematology News, which you can find by clicking here.


Show notes

By Emily Bryer, DO, resident in the department of internal medicine, University of Pennsylvania, Philadelphia

  • Statistics provide objective evidence for whether we are seeing a true effect of a medicine or intervention, or if that outcome occurs because of chance alone.
  • Clinical trials include a selective population (usually from tertiary care hospitals) and tend to involve the most severe cases.
  • When interpreting data reported from a trial, it is essential to ask how similar the population in the trial is to the population you see in your clinical practice.


  • Drug Approval Stages
    • Phase 1: Assess drug efficacy and toxicity
    • Phase 2: Identify correct dose; assess pharmacodynamics and pharmacokinetics
    • Phase 3: Randomized, controlled trial necessary for confirming drug effectiveness and providing a comparison to current standard of care treatments
  • How to design a trial
    • Ensure that the surrogate endpoint is highly correlated to the outcome of interest



Additional reading by Dr. Streiner:

  • Health Measurement Scales: A practical guide to their development and use (5th edition)
  • PDQ Epidemiology (3rd edition)
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