PPT-Correcting for Sample Overlap in Association Meta-analysis Using Summary Statistics

Sebanti Sengupta 11152017 Background Metaanalysis an important strategy for genetic association studies Increases sample size and power Can lead to discovery of novel loci Can use previously published study results. Erin E. Barton, PhD, BCBA-D. Non-overlap Methods . PND. PEM (ECL). PEM-. T. PAND. R-IRD. NAP. Tau. -U. Rationale: . Non-overlap Methods . . Need to aggregate across studies to determine . evidence for practice . Dr. Kari Lock Morgan. Describing Data:. Two Variables. SECTIONS 2.4, 2.5. One quantitative variable (2.4). One quantitative and one categorical (2.4). Two quantitative (2.5). z-score. Which is better, an ACT score of 28 or a combined SAT score of 2100?. science fairs. How to make sure your students have the best chance of success at SSEF of Florida. My personal involvement. Judging Captain of Senior Animal Sciences. How we judge:. First, divide projects in orbit and focus groups. YP.com. ). Xin. Luna Dong (Google). . Divesh. . Srivastava. (AT&T Research). Vassilis. J. . Tsotras. (UC Riverside). 1. Online Ordering of Overlapping Data Sources . VLDB 2014 - Hangzhou, China. BIOST 2055. 04/01/2015. Human Genome and Single Nucleotide Polymorphisms (SNPs). 23 chromosome pairs. 3 billion bases. A single nucleotide change between pairs of chromosomes. E.g. . Haplotype1. : AAGG. EPI 811 Individual Presentation. Chapter 10 of . Szklo. and Nieto’s . Epidemiology: Beyond the Basics. Anton Frattaroli. Sensitivity Analysis. Generally, an assessment of how systematic or random errors affect an effect estimates’ representativeness of the actual effect (the validity of the effect estimate).. Jonathan J Shuster, PhD shusterj@ufl.edu. University of Florida. College of Medicine. 1. Pre-Talk Questions. Are you familiar with Meta-Analysis?. Have been the Statistician on a MA?. Have you written one or more methods papers on MA?. consider actual blood donations but only a health examination to determine donation eligibility By NTMs own criteria this study should not be in the analysis ghly personal recruitment procedures Reich Introduction to Meta-Analysis. Dr. Chris L. S. . Coryn. Kristin A. Hobson. Fall 2013. Agenda. Course overview. An overview of and brief introduction to meta-analysis. Selection of working groups. In-class activity. Objective. Understand the philosophy of meta-analysis and its contribution to epidemiology and science.. Understand the limitations of meta-analysis. Introduction. Systematic quantitative integration of results . What is STATISTICS?. Statistics . fulfill one . of the basic human . needs.. A. . process . to: . Manage. . -. . to clean and format the data in order to get a valid data which is feasible to be analyzed. Outline. Introduction. Two review papers. Quality control (. MetaQC. ). Meta-analysis for detecting differentially expressed genes (. MetaDE. ). Meta-analysis for detecting pathways (. MetaPath. ). 1. Introduction. Inês Barroso. Joint Head of Human Genetics. Metabolic Disease Group Leader. Wellcome. Trust Sanger Institute. 1. Objectives. Why perform meta-analysis?. How? . What are the issues to consider?. What can you gain?. Presented by Christine R. Wells, Ph.D.. Statistical Methods and Data Analytics. UCLA Office of Advanced Research Computing. What to expect from this workshop. Definition of systematic review and meta-analysis.