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Bryant T Smith

Showing results (1-10 of 8) with videos related to

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Systematic Reviews|January 26, 2018
Response to 'Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms'Jens Jap, Ian J Saldanha, Bryant T Smith, et al.
Systematic Reviews|December 22, 2019
The Systematic Review Data Repository (SRDR): descriptive characteristics of publicly available data and opportunities for researchIan J Saldanha, Bryant T Smith, Evangelia Ntzani, et al.
Research Synthesis Methods|October 17, 2018
Features and functioning of Data Abstraction Assistant, a software application for data abstraction during systematic reviewsJens Jap, Ian J Saldanha, Bryant T Smith, et al.
BMC Medical Research Methodology|February 13, 2020
Outcome choice and definition in systematic reviews leads to few eligible studies included in meta-analyses: a case studyIan J Saldanha, Kristina B Lindsley, Sarah Money, et al.
Systematic Reviews|February 3, 2018
Strategies for improving the lives of US women aged 40 and above living with HIV/AIDS: an evidence mapGaelen P Adam, Mengyang Di, Susan Cu-Uvin, et al.
Evidence Report/Technology Assessment|October 12, 2018
Omega-3 Fatty Acids and Cardiovascular Disease: An Updated Systematic ReviewEthan M Balk, Gaelen P Adams, Valerie Langberg, et al.
Systematic Reviews|November 24, 2016
Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trialIan J Saldanha, Christopher H Schmid, Joseph Lau, et al.
Journal of Clinical Epidemiology|July 15, 2019
A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviewsTianjing Li, Ian J Saldanha, Jens Jap, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Systematic Reviews|January 26, 2018
Response to 'Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms'Jens Jap, Ian J Saldanha, Bryant T Smith, et al.
Systematic Reviews|December 22, 2019
The Systematic Review Data Repository (SRDR): descriptive characteristics of publicly available data and opportunities for researchIan J Saldanha, Bryant T Smith, Evangelia Ntzani, et al.
Research Synthesis Methods|October 17, 2018
Features and functioning of Data Abstraction Assistant, a software application for data abstraction during systematic reviewsJens Jap, Ian J Saldanha, Bryant T Smith, et al.
BMC Medical Research Methodology|February 13, 2020
Outcome choice and definition in systematic reviews leads to few eligible studies included in meta-analyses: a case studyIan J Saldanha, Kristina B Lindsley, Sarah Money, et al.
Systematic Reviews|February 3, 2018
Strategies for improving the lives of US women aged 40 and above living with HIV/AIDS: an evidence mapGaelen P Adam, Mengyang Di, Susan Cu-Uvin, et al.
Evidence Report/Technology Assessment|October 12, 2018
Omega-3 Fatty Acids and Cardiovascular Disease: An Updated Systematic ReviewEthan M Balk, Gaelen P Adams, Valerie Langberg, et al.
Systematic Reviews|November 24, 2016
Evaluating Data Abstraction Assistant, a novel software application for data abstraction during systematic reviews: protocol for a randomized controlled trialIan J Saldanha, Christopher H Schmid, Joseph Lau, et al.
Journal of Clinical Epidemiology|July 15, 2019
A randomized trial provided new evidence on the accuracy and efficiency of traditional vs. electronically annotated abstraction approaches in systematic reviewsTianjing Li, Ian J Saldanha, Jens Jap, et al.
Pageof 1