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Matthew Sperrin

Showing results (11-20 of 188) with videos related to

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American Journal of Epidemiology|February 17, 2021
Invited Commentary: Treatment Drop-in-Making the Case for Causal PredictionMatthew Sperrin, Karla Diaz-Ordaz, Romin Pajouheshnia
Plos One|July 9, 2016
Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network AnalysisZsolt Zador, Matthew Sperrin, Andrew T King
Pulmonary Therapy|August 12, 2016
Identification of Asthma Subtypes Using Clustering MethodologiesMatea Deliu, Matthew Sperrin, Danielle Belgrave, et al.
Journal of Thoracic Disease|December 4, 2018
Pre-procedural risk models for patients undergoing transcatheter aortic valve implantationGlen P Martin, Matthew Sperrin, Mamas A Mamas
Plos One|August 19, 2025
rcprd: An R package to simplify the extraction and processing of Clinical Practice Research Datalink (CPRD) data, and create analysis-ready datasetsAlexander Pate, Rosa Parisi, Evangelos Kontopantelis, et al.
European Journal of Epidemiology|August 26, 2019
Interaction between co-morbidities and cancer survivalAndrew G Renehan, Nasra N Alam, Matthew Sperrin
Journal of Clinical Epidemiology|June 17, 2020
Missing data should be handled differently for prediction than for description or causal explanationMatthew Sperrin, Glen P Martin, Rose Sisk, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networksTahmina Zebin, Matthew Sperrin, Niels Peek, et al.
BMC Medical Research Methodology|February 2, 2017
Evaluation of biases present in the cohort multiple randomised controlled trial design: a simulation studyJane Candlish, Alexander Pate, Matthew Sperrin, et al.
Perfusion|April 22, 2024
A systematic review of cardiac surgery clinical prediction models that include intra-operative variablesCeri Jones, Marcus Taylor, Matthew Sperrin, et al.
Pageof 19

Showing results (11-20 of 188) with videos related to

Sort By:
Pageof 19
American Journal of Epidemiology|February 17, 2021
Invited Commentary: Treatment Drop-in-Making the Case for Causal PredictionMatthew Sperrin, Karla Diaz-Ordaz, Romin Pajouheshnia
Plos One|July 9, 2016
Predictors of Outcome in Traumatic Brain Injury: New Insight Using Receiver Operating Curve Indices and Bayesian Network AnalysisZsolt Zador, Matthew Sperrin, Andrew T King
Pulmonary Therapy|August 12, 2016
Identification of Asthma Subtypes Using Clustering MethodologiesMatea Deliu, Matthew Sperrin, Danielle Belgrave, et al.
Journal of Thoracic Disease|December 4, 2018
Pre-procedural risk models for patients undergoing transcatheter aortic valve implantationGlen P Martin, Matthew Sperrin, Mamas A Mamas
Plos One|August 19, 2025
rcprd: An R package to simplify the extraction and processing of Clinical Practice Research Datalink (CPRD) data, and create analysis-ready datasetsAlexander Pate, Rosa Parisi, Evangelos Kontopantelis, et al.
European Journal of Epidemiology|August 26, 2019
Interaction between co-morbidities and cancer survivalAndrew G Renehan, Nasra N Alam, Matthew Sperrin
Journal of Clinical Epidemiology|June 17, 2020
Missing data should be handled differently for prediction than for description or causal explanationMatthew Sperrin, Glen P Martin, Rose Sisk, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Human activity recognition from inertial sensor time-series using batch normalized deep LSTM recurrent networksTahmina Zebin, Matthew Sperrin, Niels Peek, et al.
BMC Medical Research Methodology|February 2, 2017
Evaluation of biases present in the cohort multiple randomised controlled trial design: a simulation studyJane Candlish, Alexander Pate, Matthew Sperrin, et al.
Perfusion|April 22, 2024
A systematic review of cardiac surgery clinical prediction models that include intra-operative variablesCeri Jones, Marcus Taylor, Matthew Sperrin, et al.
Pageof 19