Three Traps to Avoid & Bioinformatics Advantage 1.) In the Discovery Phase Its ok to “Fish” for significant relationships in your data (i.e. look at.

Slides:



Advertisements
Similar presentations
Matthew M. Riggs, Ph.D. metrum research group LLC
Advertisements

C82MST Statistical Methods 2 - Lecture 5 1 Overview of Lecture Testing the Null Hypothesis Statistical Power On What Does Power Depend? Measures of Effect.
Randomized Controlled Trial
Breakout Session 4: Personalized Medicine and Subgroup Selection Christopher Jennison, University of Bath Robert A. Beckman, Daiichi Sankyo Pharmaceutical.
The Statisticians Role in Pharmaceutical Development
Role of the Statistician and the Bioinformatics Scientist in Cancer Clinical Trials Larry Rubinstein, PhD Biometric Research Branch, NCI International.
Statistical Analysis for Two-stage Seamless Design with Different Study Endpoints Shein-Chung Chow, Duke U, Durham, NC, USA Qingshu Lu, U of Science and.
December 14, FDA Advisory Committee for Pharmaceutical Science Nonclinical Studies Subcommittee Efficient advancement to clinical trials Jack A.
1 Pharmaceutical Challenges for the Semantic Web.
 Try to determine causes and risk factors for disease by drawing connections between behaviors or exposures and diseases through observation alone.
Design and analysis of clinical trials MULTIPLE COMPARISONS.
Power Analysis in Grant Writing Jill Harkavy-Friedman, Ph.D.
PTP 560 Research Methods Week 4 Thomas Ruediger, PT.
Chapter 14 Conducting & Reading Research Baumgartner et al Chapter 14 Inferential Data Analysis.
Today Concepts underlying inferential statistics
Cohort Studies Hanna E. Bloomfield, MD, MPH Professor of Medicine Associate Chief of Staff, Research Minneapolis VA Medical Center.
Adaptive Designs for Clinical Trials
RANDOMIZED CLINICAL TRIALS. What is a randomized clinical trial?  Scientific investigations: examine and evaluate the safety and efficacy of new drugs.
Biomedical research methods. What are biomedical research methods? An integrated approach using chemical, mathematical and computer simulations, in vitro.
Thoughts on Biomarker Discovery and Validation Karla Ballman, Ph.D. Division of Biostatistics October 29, 2007.
Prescriptive Analytics
Basic Statistics in Clinical Research Slides created from article by Augustine Onyeaghala (MSc, PhD, PGDQA, PGDCR, MSQA,
Office of Clinical Pharmacology and Biopharmaceutics IDSA/ISAP/FDA Workshop 4/16/04 1 Improvement in Dose Selection: FDA Perspective IDSA/ISAP/FDA Workshop.
Luveris ® New Drug Application ( ) Kate Meaker, M.S. Statistical Reviewer Division of Biometrics II Kate Meaker, M.S. Statistical Reviewer Division.
Achieving and Demonstrating “Quality-by-Design” with Respect to Drug Release/dissolution Performance for Conventional or Immediate Release Solid Oral Dosage.
Clinical Trials 2015 Practical Session 1. Q1: List three parameters (quantities) necessary for the determination of sample size (n) for a Phase III clinical.
Gil Harari Statistical considerations in clinical trials
BIOE 301 Lecture Seventeen. Guest Speaker Jay Brollier World Camp Malawi.
به نام ايزد يکتا Clinical Trial Design Dr. Khalili 1  The common types  Advantages and limitations  Usual applications.
Epidemiology The Basics Only… Adapted with permission from a class presentation developed by Dr. Charles Lynch – University of Iowa, Iowa City.
The R&D process Clinical development Andy Gray Consultant pharmacist.
Background to Adaptive Design Nigel Stallard Professor of Medical Statistics Director of Health Sciences Research Institute Warwick Medical School
Todays Clinical Trials. Tomorrow’s Cures. Robert L. Comis, MD 1 National Coalition for Cancer Research “Cancer 101” Congressional Briefing 09/10/14.
Partnering With Physicians New Strategies for Changing Physician Prescribing Behavior John Aiken To return to website, click your Browsers “BACK” Button.
EDRN Approaches to Biomarker Validation DMCC Statisticians Fred Hutchinson Cancer Research Center Margaret Pepe Ziding Feng, Mark Thornquist, Yingye Zheng,
Some terms Parametric data assumptions(more rigorous, so can make a better judgment) – Randomly drawn samples from normally distributed population – Homogenous.
User Study Evaluation Human-Computer Interaction.
Consumer behavior studies1 CONSUMER BEHAVIOR STUDIES STATISTICAL ISSUES Ralph B. D’Agostino, Sr. Boston University Harvard Clinical Research Institute.
Concept Paper #3: Risk Assessment of Observational Data Session 1: Good Pharmacovigilance Practices Linda S. Hostelley on behalf of PhRMA.
More than 90% compounds entering clinical trials fail to demonstrate safety and efficacy in human, despite evidence of safety and effectiveness in pre-
1 Statistics in Drug Development Mark Rothmann, Ph. D.* Division of Biometrics I Food and Drug Administration * The views expressed here are those of the.
BIOE 301 Lecture Seventeen. Progression of Heart Disease High Blood Pressure High Cholesterol Levels Atherosclerosis Ischemia Heart Attack Heart Failure.
Educational Research Chapter 13 Inferential Statistics Gay, Mills, and Airasian 10 th Edition.
Elementary statistics for foresters Lecture 5 Socrates/Erasmus WAU Spring semester 2005/2006.
Clinical Pharmacology Subcommittee of the Advisory Committee for Pharmaceutical Science Meeting April Quantitative risk analysis using exposure-response.
August 20, 2003FDA Antiviral Drugs Advisory Committee Meeting 1 Statistical Considerations for Topical Microbicide Phase 2 and 3 Trial Designs: A Regulatory.
1 Study Design Issues and Considerations in HUS Trials Yan Wang, Ph.D. Statistical Reviewer Division of Biometrics IV OB/OTS/CDER/FDA April 12, 2007.
How To Design a Clinical Trial
1 Operation of the Prescription Drug User Fee Program Janet Woodcock, M.D. Deputy Commissioner for Operations November 14, 2005.
Biomedical Research Methods
Marshall University School of Medicine Department of Biochemistry and Microbiology BMS 617 Lecture 6 –Multiple hypothesis testing Marshall University Genomics.
Introduction to Biostatistics, Harvard Extension School, Fall, 2005 © Scott Evans, Ph.D.1 Sample Size and Power Considerations.
Zometa for Prostate Cancer Bone Metastases Protocol 039 Amna Ibrahim, M.D. Oncology Drug Products FDA.
My Industrial Placement 15 th February Where I work Company: Pfizer Pfizer is the world’s largest research-based pharmaceutical company Division:
Methods to Adjust Doses Based on Exposure-Response Information Points to Consider Richard Lalonde Clinical Pharmacokinetics and Pharmacodynamics Pfizer.
Pediatric Drug Development: A Regulatory Perspective Tiffany R. Farchione, M.D. Medical Officer, Division of Psychiatry Products US Food and Drug Administration.
15 Inferential Statistics.
June 29, 2017 Suzanne Hendrix, PhD Pentara Corp
Is High Placebo Response Really a Problem in Clinical Trials?
Clinical Research Contribution towards improving Clinical Care
Evidence-based Medicine
CLINICAL PROTOCOL DEVELOPMENT
R. E. Wyllys Copyright 2003 by R. E. Wyllys Last revised 2003 Jan 15
Data Monitoring committees and adaptive decision-making
Wednesday, November 16 Statistical Power
Additional notes on random variables
Additional notes on random variables
Effectiveness Marlene Haffner, MD MPH Haffner Associates, LLC
A New Approach to Clinical Trials
Students Opportunities: Conferences:
Presentation transcript:

Three Traps to Avoid & Bioinformatics Advantage

1.) In the Discovery Phase Its ok to “Fish” for significant relationships in your data (i.e. look at correlations across all my variables and then report the significant ones that you find).

With alpha=0.05, after 20 correlations you can expect to make a spurious correlation. Data Mining is a bioinformatics tool, you just need to know the rules.

2.) In an Early Phase Trial I can only afford to have 25 patients in this first trial, I don’t need a “power” calculation.

Even when you know how many patients you can afford, changing the design slightly or balancing the study arms differently can increase your ability to observe true differences. Model various scenarios to optimize your design.

3.) In a Phase 3 Trial Having “enough” patients in each arm is most important to demonstrate efficacy and safety.

Genotyping and biomarkers can identify the appropriate patient population to:  Reduce Safety Risks and  Improve Efficacy

A Boutique Statistical Consulting Firm Serving Industry and Academia in Clinical Trials and Drug Discovery