This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 239
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #307375
Title: Method and Application of Meta-Analysis in Cancer Trials
Author(s): Xiaoling Wu*+ and Joseph Pultz and Andrew Damokosh and Thomas Kelleher
Companies: Bristol-Myers Squibb and Bristol-Myers Squibb and Bristol-Myers Squibb and Bristol-Myers Squibb
Address: 5 research parkway, Wallingford, CT, 06492,
Keywords: meta-analysis ; heterogeneity ; cancer trial
Abstract:

Meta-Analysis refers to the statistical synthesis of results from a series of similar clinical studies. Combining data from completed trials has strategic advantage over running a new study when accrual is difficult. We first discuss things to consider when performing and interpreting meta-analysis. Then we lay out the statistical framework of synthesizing treatment effect from different studies together, under fixed and random effect models. Properly assessing heterogeneity in treatment effect estimate is critical to draw overall conclusions of the meta-analysis. Several statistical measures to quantify and test heterogeneity will be reviewed including the Q test and I square statistic. We will use a few cancer trial examples to investigate how well the heterogeneity measures explain the amount of between study variation, when magnitude and consistency of the pooled studies vary.


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