2019 Annual Meeting Program
Loyola University Chicago - 111 E. Pearson, Lewis Towers, 16th floor
Monday, July 22, 2019 – Morning
9:15
Coffee and registration
9:30
Welcome and introductions
Jack Vevea & Terri Pigott
9:50
Presidential Address: The evidence synthesis academy: Educating the public about evidence synthesis
Christopher Schmid
10:50
Coffee break
11:10
Network meta-analysis
Use of the Peto Odds Ratio in Network Meta-Analysis
Presentation
Guido Schwarzer, Orestis Efthimiou & Gerta Rücker
A cost-utility analysis and value of information of biologics for Moderate-to-Severe Crohn’s disease: evidence synthesis using Bayesian network meta-analysis
Presentation
Mark Bounthavong
A Markov Chain approach for ranking treatments in network meta-analysis
Presentation
Anna Chaimani, D Mavridis, E Sbidian, R Porcher, and P Ravaud
12:30
Lunch
9:15
Coffee and registration
9:30
Welcome and introductions
Jack Vevea & Terri Pigott
9:50
Presidential Address: The evidence synthesis academy: Educating the public about evidence synthesis
Christopher Schmid
10:50
Coffee break
11:10
Network meta-analysis
Use of the Peto Odds Ratio in Network Meta-Analysis
Presentation
Guido Schwarzer, Orestis Efthimiou & Gerta Rücker
A cost-utility analysis and value of information of biologics for Moderate-to-Severe Crohn’s disease: evidence synthesis using Bayesian network meta-analysis
Presentation
Mark Bounthavong
A Markov Chain approach for ranking treatments in network meta-analysis
Presentation
Anna Chaimani, D Mavridis, E Sbidian, R Porcher, and P Ravaud
12:30
Lunch
Monday, July 22, 2019 – Afternoon
1:30
Missing data and reporting bias
The ultimate haystack needle: Locating unreported outcome data for use in a systematic review and meta-analysis
Joshua Polanin, Dorothy Espilage & Jennifer Grotpeter
Challenges for Imputing Missing Covariates in Meta-Regression
Presentation
Jacob Schauer
Handling Missing Covariates in Mixed-Effects Meta-Analysis with Full-Information Maximum Likelihood
Presentation
Mike Cheung
Evaluating Meta-analytic Methods to Detect Outcome Reporting Bias in the Presence of Dependent Effect Sizes
Presentation
Melissa A. Rodgers & James E. Pustejovsky
A Cluster-Robust Excess Significance Test for Selective Outcome Reporting
Presentation
James Pustejovsky
2:50
Coffee break
3:10
Panel Discussion
Synthesizing adverse events data: challenges and approaches
Kay Dickersin, Chair
Tianjing Li, Riaz Qureshi, Jesse Berlin, Gary Rosner & Yong Chen
6:00
Annual SRSM dinner: Pacific Standard Time
141 W. Erie Street, Chicago.
Website: www.pstchicago.com/
1:30
Missing data and reporting bias
The ultimate haystack needle: Locating unreported outcome data for use in a systematic review and meta-analysis
Joshua Polanin, Dorothy Espilage & Jennifer Grotpeter
Challenges for Imputing Missing Covariates in Meta-Regression
Presentation
Jacob Schauer
Handling Missing Covariates in Mixed-Effects Meta-Analysis with Full-Information Maximum Likelihood
Presentation
Mike Cheung
Evaluating Meta-analytic Methods to Detect Outcome Reporting Bias in the Presence of Dependent Effect Sizes
Presentation
Melissa A. Rodgers & James E. Pustejovsky
A Cluster-Robust Excess Significance Test for Selective Outcome Reporting
Presentation
James Pustejovsky
2:50
Coffee break
3:10
Panel Discussion
Synthesizing adverse events data: challenges and approaches
Kay Dickersin, Chair
Tianjing Li, Riaz Qureshi, Jesse Berlin, Gary Rosner & Yong Chen
6:00
Annual SRSM dinner: Pacific Standard Time
141 W. Erie Street, Chicago.
Website: www.pstchicago.com/
Tuesday, July 23, 2019 – Morning
9:00
Methods overviews and taxonomies
Understanding and using diverse evidence synthesis methods
Julia Littell
A graphical depiction of the relationship between I2 and T2
Michael Borenstein
Can we make meta-analysis bulletproof?
David Hoaglin
Meta-Regression: The Gap Between Theory and Practice
Elizabeth Tipton, James Pustejovsky, & Hedyeh Ahmadi
From reactive screening of published articles to proactive assignment of trial registrations
Adam Dunn
10:40
Coffee break
11:00
General statistical issues, Session 1
Bimodality of the likelihood function of the random-effects model in meta-analysis
Wolfgang Viechtbauer
Consequences of covariance between log-odds ratio and conditional variance
Ariel Aloe
Towards causally interpretable meta-analysis: Transporting inferences from multiple studies to a target population
Issa Dahabreh
Identifying Saturation of Heterogeneity in Preclinical Datasets to Inform Decision to Proceed with Translation to humans
Ezgi Tanriver- Ayder, Nicky Welton, Hugo Pedder & Malcolm Macleod
12:20
Lunch
9:00
Methods overviews and taxonomies
Understanding and using diverse evidence synthesis methods
Julia Littell
A graphical depiction of the relationship between I2 and T2
Michael Borenstein
Can we make meta-analysis bulletproof?
David Hoaglin
Meta-Regression: The Gap Between Theory and Practice
Elizabeth Tipton, James Pustejovsky, & Hedyeh Ahmadi
From reactive screening of published articles to proactive assignment of trial registrations
Adam Dunn
10:40
Coffee break
11:00
General statistical issues, Session 1
Bimodality of the likelihood function of the random-effects model in meta-analysis
Wolfgang Viechtbauer
Consequences of covariance between log-odds ratio and conditional variance
Ariel Aloe
Towards causally interpretable meta-analysis: Transporting inferences from multiple studies to a target population
Issa Dahabreh
Identifying Saturation of Heterogeneity in Preclinical Datasets to Inform Decision to Proceed with Translation to humans
Ezgi Tanriver- Ayder, Nicky Welton, Hugo Pedder & Malcolm Macleod
12:20
Lunch
Tuesday, July 23, 2019 – Afternoon
1:20
Panel discussion
Is it worth it to share data that are gathered during systematic reviews? Is it worth it to NOT share data? A Panel Discussion
Ian Saldanha, Jessica Gurevitch, Lesley Stewart, Jeffrey Valentine, Thomas Trikalinos, Jeremy Grimshaw, Piers Steel & Joseph Lau
2:20
General statistical issues, Session 2
A Communication Efficient Distributed Algorithm for Regression Analyses with Applications to Studying Drug Safety Outcomes
Yong Chen
A Bayesian Multivariate Meta-Analysis of Prevalence Data
Lianne Siegel, Kyle Rudser, Siobhan Sutcli, Alayne Markland,Linda Brubaker, Sheila Gahagan, Ann E. Stapleton, and Haitao Chu
Effect Size Estimates for Binary and Ordered Categorical Outcomes
David Rindskopf
Active learning for emulators of mathematical models for medical decision making
TA Trikalinos, with AG Ellis, R Iskandar, CH Schmid, JB Wong
3:20
Coffee break
3:40
Prediction and Replication
Credibility, Prediction and Tolerance Intervals
Michael Brannick & Hannah Rothstein
Less-parametric prediction intervals using mixtures and resampling
Adam Hafdahl & Michael Brannick
When to, and when not to replicate systematic reviews: consensus meeting and checklist
Vivian Welch
1:20
Panel discussion
Is it worth it to share data that are gathered during systematic reviews? Is it worth it to NOT share data? A Panel Discussion
Ian Saldanha, Jessica Gurevitch, Lesley Stewart, Jeffrey Valentine, Thomas Trikalinos, Jeremy Grimshaw, Piers Steel & Joseph Lau
2:20
General statistical issues, Session 2
A Communication Efficient Distributed Algorithm for Regression Analyses with Applications to Studying Drug Safety Outcomes
Yong Chen
A Bayesian Multivariate Meta-Analysis of Prevalence Data
Lianne Siegel, Kyle Rudser, Siobhan Sutcli, Alayne Markland,Linda Brubaker, Sheila Gahagan, Ann E. Stapleton, and Haitao Chu
Effect Size Estimates for Binary and Ordered Categorical Outcomes
David Rindskopf
Active learning for emulators of mathematical models for medical decision making
TA Trikalinos, with AG Ellis, R Iskandar, CH Schmid, JB Wong
3:20
Coffee break
3:40
Prediction and Replication
Credibility, Prediction and Tolerance Intervals
Michael Brannick & Hannah Rothstein
Less-parametric prediction intervals using mixtures and resampling
Adam Hafdahl & Michael Brannick
When to, and when not to replicate systematic reviews: consensus meeting and checklist
Vivian Welch
Wednesday, July 24, 2019 - Morning
9:00
Awards
The 2019 Olkin Award
The 2019 Early Career Award
The 2019 Extraordinary Service Award
The 2018 Olkin Award address: The concept of evidence-based social-behavioral programs and the challenge of heterogeneity
Mark Lipsey
10:30
Coffee Break
10:50
Business meeting
Business Meeting Minutes 2018
Business Meeting Agenda
12:00
Lunch boxes available
9:00
Awards
The 2019 Olkin Award
The 2019 Early Career Award
The 2019 Extraordinary Service Award
The 2018 Olkin Award address: The concept of evidence-based social-behavioral programs and the challenge of heterogeneity
Mark Lipsey
10:30
Coffee Break
10:50
Business meeting
Business Meeting Minutes 2018
Business Meeting Agenda
12:00
Lunch boxes available