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Activity Number:
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280
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #304302 |
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Title:
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Diagnostics for Logistic Regression on AE Data
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Author(s):
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Bo Jin*+
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Companies:
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Merck Research Laboratories
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Address:
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351 N Sumneytown Pike, UG1C-36, North Wales, PA, 19454,
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Keywords:
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Adverse Event ; Logistic Regression ; Model Diagnostics
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Abstract:
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In the past few years, pharmacokinetics (PK) and adverse events (AE) modeling has played a more and more important role in dose selection and drug safety evaluation in clinical trials. Linear or nonlinear logistic regression is usually employed to explore the relationship between AE occurrence and a specific PK valuable. However, there is lack of guidance how to evaluate linear or nonlinear logistic regression on AE data. This communication introduces several diagnostics methods including residual vs. predicted value plot, residual normal quantile plot, and local mean deviance plot. These methods will be discussed in both linear and nonlinear logistic regression modeling through the analyses of simulated and real data.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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