PPT-Using Covariates in Experiments:

Design and Analysis STA 320 Design and Analysis of Causal Studies Dr Kari Lock Morgan and Dr Fan Li Department of Statistical Science Duke University Covariates Pretreatment variables X n x k covariate matrix. Diana C. . Mutz. University of Pennsylvania. Analysis of Experiments. Simple, straightforward. No fancy statistical techniques required. Very few questions required. Comparison of means (analysis of variance). overexposure. - adjusting for covariates when units are small. Oskar . Nordström. . Skans. IFAU and Uppsala University. Segregation. Separation of groups (e.g. minority/majority) across units (occupations, schools, firms, families…). Nick Cavanaugh, futurologist. Dan Chavas, . tempestologist. Christina . Karamperidou. , . statsinator. Katy . Serafin. , bathy queen. Emmi. . Yonekura. , . landfaller. ASP 2011 Summer Colloquium Project. . True Experiments. Characteristics. Threats to validity controlled by experiments. Threats not controlled by experiments. Obstacles to true experiments in the field. . Quasi-experiments. The logic of quasi-experiments . Diana C. . Mutz. University of Pennsylvania. Analysis of Experiments. Simple, straightforward. No fancy statistical techniques required. Very few questions required. Comparison of means (analysis of variance). Kyra Stillman. Importance. Determine the actual occupancy. Monitor population fluctuations. Deduce what affects occupancy rates. Variables. Attempt to find . p. . and . ψ. ,. detection and occupancy probabilities. Kari Lock and Don Rubin. Harvard University. JSM 2010. The “Gold Standard”. Why are randomized experiments so good?. . They yield unbiased estimates of the treatment effect. They eliminate (?) confounding factors…. By. Ajinkya. . Thorve. Introduction. Advancement of tracking technologies has lead to increased data collection.. Collected data used, sold and resold for serving targeted advertisements.. Serious privacy concern!. RELATED TO NUCLEAR DATA. FOR FAST REACTOR APLICATIONS. DEN/CAD/DER/SPRC/. LEPh. . |. . Pierre Leconte. , David Bernard. , Cyrille de Saint Jean. DEN/. CAD/. DER/. SPEx. /LPE . |. Patrick Blaise, Benoit . Lecture 1 (of 4). Steve Fienberg Memorial Lectures Series in Advanced Analytics. November 2018. Dylan Small. University of Pennsylvania. Slides will be posted at my web site: www-stat.wharton.upenn.edu/~. Negative controls, . and . Empirical calibration. Martijn Schuemie. Janssen R&D. OHDSI. UCLA. Trouble with observational research. 2. Residual study bias. 3. Rush et al., 2018. How to choose covariates to adjust for?. . OF THE EVIDENCE-BASED MEDICINE.. THE BIOETHICAL COMITTEES.. Ethical. . e. xperiments . on . humans. . are absolutely necessary . for the progress of medicine. . Definitions. Research . . John Hey. The first in a. . course of lectures given at the University of Economics, . Ho. Chi Minh City . Lecture . 1, 20. th. July . 2022. John Hey. Who am I?. I am . John Hey. I am at the University of York and have been there for some 48 years. I am now Emeritus Professor of Economics and Statistics.. Bradley Jones. Distinguished Research Fellow. JMP Division/SAS. Outline. Introduction. Textbook Designs – restrictions and limitations. Examples of Computer Generated Designs. When the region of interest is not regular.