Clay Thompson
@mathalytics
Math, (amateur) comp sci, and (questionable) stats | UNC Math '08 | NCSU Applied Math PhD '11 | Causal Inference | Optimization | Differential Equations
ID: 1075390354659123202
http://www.linkedin.com/in/clay-thompson-42512283 19-12-2018 14:00:15
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        New paper alert! "Sensitivity analysis via % of unmeasured confounding" arxiv.org/abs/1912.02793 SA is absolutely crucial for causality: holy grail is finding one that's interpretable *&* flexible Matteo Bonvini & I propose contamination model approach, w/effect bds across % confounded
                        
                    
                    
                    
                
        SAMSI remembers former Associate Director H. Thomas "Tom" Banks who passed away recently after a battle with Cancer. He is remembered in a tribute by NC State University Dept of Math... is.gd/xVuN6qx
                        
                    
                    
                    
                
        
        
        Pleased to announce a position in my group at #SAS! Do you love computational statistics, applied math, or scientific computing? Do you enjoy solving challenging numerical problems? Are you proficient in C? Apply at careers-sas.icims.com/jobs/30023/job #hiring #softwaredeveloper SAS Software
        
        
        
        
        
        
        We’re excited to announce our first event of #2023! This #free #online webinar features guest speaker Clay Thompson, PhD (Clay Thompson ) who will provide an overview of causal analysis using SAS Software Register today to attend on Jan 25th at 12pm ET basug.org/events
        Just 1 week until Clay Thompson (Clay Thompson) leads a #FREE Boston Area SAS Users Group webinar about causal analysis using recently developed SAS Software tools including: causal effect estimation, mediation analysis, & graph theory Register for Jan 25th @ 12pm ET basug.org/events
        Less than 1️⃣ week until Clay Thompson Clay Thompson leads a #FREE Boston Area SAS Users Group webinar about causal analysis using recently developed SAS Software tools, including causal effect estimation, mediation analysis, & graph theory Register for Jan 25th 12pm ET basug.org/events