'Propensity scores' diaporamas de présentation

Novel Approaches to Adjusting for Confounding: Propensity Scores, Instrumental Variables and MSMs

Novel Approaches to Adjusting for Confounding: Propensity Scores, Instrumental Variables and MSMs. Matthew Fox Advanced Epidemiology. What are the exposures you are interested in studying?.

877 views • 73 slides

Alternatives to Randomized Trials; P-values and Confidence Intervals

Alternatives to Randomized Trials; P-values and Confidence Intervals. Tom Newman November 17, 2011. Lec 8 Alts to RCTs P values and CI 16Nov11. Announcements. Lots of supplemental reading on website Exam questions: due in section today Next Thursday is Thanksgiving

791 views • 63 slides

Telephone-based coping skills training for patients awaiting lung transplantation

Telephone-based coping skills training for patients awaiting lung transplantation. The INSPIRE Investigators Duke University Medical Center, Durham, NC Washington University Hospital, St. Louis, MO. Background. Awaiting lung transplantation is usually highly stressful

640 views • 53 slides

Lilly Yue, Ph.D.* CDRH, FDA, Rockville MD 20850

The Application of Propensity Score Analysis to Non-randomized Medical Device Clinical Studies: A Regulatory Perspective. Lilly Yue, Ph.D.* CDRH, FDA, Rockville MD 20850

661 views • 45 slides

Analytic Methods and Issues in CER from Observational Data

568 views • 44 slides

CRDAC and DSaRM Meeting September 12, 2007 Mark Levenson, Ph.D.

Statistical Review of the Observational Studies of Aprotinin Safety Part I: Methods, Mangano and Karkouti Studies. CRDAC and DSaRM Meeting September 12, 2007 Mark Levenson, Ph.D. Quantitative Safety & Pharmacoepidemiology Group Office of Biostatistics.

489 views • 40 slides

1. Introduction

Less Is More? An Application of Propensity Score Stratification to First-Grade Retention Mieke Goos, Jan Van Damme, Patrick Onghena and Katja Petry SREE 2010. 1. Introduction. Starting point: Many young children struggle in elementary school

556 views • 39 slides

How to use propensity scores in the analysis of nonrandomized designs

How to use propensity scores in the analysis of nonrandomized designs. Patrick G. Arbogast Department of Biostatistics Vanderbilt University Medical Center. Motivation.

538 views • 39 slides

Real-World Evidence: What Is It and Why Is It so Important In MS?

Real-World Evidence: What Is It and Why Is It so Important In MS?. This program will include a discussion of data that were presented in abstract form. These data should be considered preliminary until published in a peer-reviewed journal. Introduction.

457 views • 34 slides

Sebastian Galiani November 2006

Matching Techniques. Sebastian Galiani November 2006. The case of random assignment to the treatment. If assignment to treatment is random in the population, both potential outcomes are independent of the treatment status Y (1) , Y (0) ? D (1)

575 views • 34 slides

Nearest neighbor matching

Nearest neighbor matching. USING THE GREEDY MATCH MACRO. Note: Much of the code originally was written by Lori Parsons http://www2.sas.com/proceedings/sugi26/p214-26.pdf This code has been written with simplicity as a primary concern.

598 views • 31 slides

Aprotinin Observational Studies

Aprotinin Observational Studies. Advisory Committee Meeting - September 12, 2007 Rita Ouellet-Hellstrom, Ph.D., M.P.H. FDA CDER Office of Surveillance and Epidemiology Division of Drug Risk Evaluation (DDRE). Objectives.

413 views • 30 slides

Christel Vermeersch

Christel Vermeersch. The World Bank. MATCHING TECHNIQUES. Technical Track Session VI. When can we use matching?. What if the assignment to the treatment is done not randomly, but on the basis of observables ?.

457 views • 30 slides

Matching Methods & Propensity Scores

Matching Methods & Propensity Scores. Garret Christensen (Taken from Kenny Ajayi) October 27, 2009. Global Poverty and Impact Evaluation. Program Evaluation Methods. Randomization (Experiments) Quasi-Experiments Regression Discontinuity Matching, Propensity Score

573 views • 30 slides

Sukyeong Pi Larry Featherston Employment and Disability Institute Cornell University

www.edi.cornell.edu. Causal Inference Using Observational Data. Sukyeong Pi Larry Featherston Employment and Disability Institute Cornell University Feb. 21, 2009. Agenda. Randomized Controlled Trial Observational Studies Propensity Score Matching Example Limitations of PSM.

430 views • 28 slides

Can Mental Health Services Reduce Juvenile Justice Involvement? Non-Experimental Evidence

Can Mental Health Services Reduce Juvenile Justice Involvement? Non-Experimental Evidence. E. Michael Foster School of Public Health, University of North Carolina & Methodology Center, Pennsylvania State University & Conduct Problems Prevention Research Group. foster@pop.psu.edu.

358 views • 26 slides

Can Mental Health Services Reduce Juvenile Justice Involvement? Non-Experimental Evidence

Can Mental Health Services Reduce Juvenile Justice Involvement? Non-Experimental Evidence. E. Michael Foster School of Public Health, University of North Carolina & Methodology Center, Pennsylvania State University & Conduct Problems Prevention Research Group. foster@pop.psu.edu.

322 views • 26 slides

Mica Estrada-Hollenbeck 1 Anna Woodcock 2 David Morella 3 Wesley Schultz 1

Evaluating the Efficacy of the Research Initiative for Scientific Enhancement (RISE) by using Propensity Scores to Identify a Matched Comparison Group. Mica Estrada-Hollenbeck 1 Anna Woodcock 2 David Morella 3 Wesley Schultz 1 California State University, San Marcos 2 Purdue University

235 views • 23 slides

Jenny Nagaoka, Melissa Roderick, and Melanie LaForce June 29,2010 2010 IES Conference

Evaluating the Impact of the Advancement Via Individual Determination Program on Ninth-Grade Students' Learning and Study Skills. Jenny Nagaoka, Melissa Roderick, and Melanie LaForce June 29,2010 2010 IES Conference. What is AVID?. History: Began in 1980 in San Diego, CA

187 views • 18 slides

Hester van Eeren Erasmus Medical Centre, Rotterdam Halsteren, August 23, 2010

Propensity score and subgroups: How to find an accurate treatment effect within subgroups when the propensity score is applied to control for selection bias?. Hester van Eeren Erasmus Medical Centre, Rotterdam Halsteren, August 23, 2010. The propensity score (1).

340 views • 12 slides