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Activity Number: 170 - SPEED: Biopharmaceutical Methods and Application I, Part 1
Type: Contributed
Date/Time: Monday, July 29, 2019 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract #304169
Title: Analysis Methods for Skewed Data Distributions
Author(s): Annpey Pong*
Keywords: normality; skewed data; slope analysis; shift analysis; parametric method; non-parametric method

In clinical studies, it is not uncommon that data are challenging to analyze because they are heavily skewed. Therefore, the common methods of normality assumption in hypotheses testing are not met. This research work is to present the rationale behind statistical applications and review useful tools for skewed data analyses including, but not limited to, slope analysis by random coefficient models of parametric approach and shifting analysis among categories of distribution-free approach. In addition, examples in renal function parameters from clinical study are demonstrated.

Authors who are presenting talks have a * after their name.

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