Cargando…

Spatial and spatio-temporal statistical analyses of retinal images: a review of methods and applications

BACKGROUND: Clinical research and management of retinal diseases greatly depend on the interpretation of retinal images and often longitudinally collected images. Retinal images provide context for spatial data, namely the location of specific pathologies within the retina. Longitudinally collected...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhu, Wenyue, Kolamunnage-Dona, Ruwanthi, Zheng, Yalin, Harding, Simon, Czanner, Gabriela
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Publishing Group 2020
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264837/ https://www.ncbi.nlm.nih.gov/pubmed/32537517 http://dx.doi.org/10.1136/bmjophth-2020-000479

Ejemplares similares

Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model †
por: Zhu, Wenyue, et al.
Publicado: (2020)

Spatial statistical modelling of capillary non-perfusion in the retina
por: MacCormick, Ian J. C., et al.
Publicado: (2017)

Evaluating statistical characteristics of biomarker-guided trial designs
por: Antoniou, Miranta, et al.
Publicado: (2015)

Statistical analysis of spatial and spatio-temporal point patterns
por: Diggle, Peter J
Publicado: (2013)

Time-dependent ROC curve analysis in medical research: current methods and applications
por: Kamarudin, Adina Najwa, et al.
Publicado: (2017)

Modelling variable dropout in randomised controlled trials with longitudinal outcomes: application to the MAGNETIC study
por: Kolamunnage-Dona, Ruwanthi, et al.
Publicado: (2016)

Investigation of 2‐stage meta‐analysis methods for joint longitudinal and time‐to‐event data through simulation and real data application
por: Sudell, Maria, et al.
Publicado: (2017)

Investigation of one‐stage meta‐analysis methods for joint longitudinal and time‐to‐event data through simulation and real data application
por: Sudell, Maria, et al.
Publicado: (2018)

Sample size formula for joint modelling of longitudinal and time-to-event data in clinical trials
por: Powney, Matthew, et al.
Publicado: (2013)

Adjusting for informative missing outcome data in clinical trials with longitudinal study designs
por: Kolamunnage-Dona, Ruwanthi, et al.
Publicado: (2013)

Statistics for spatio-temporal data /
por: Cressie, Noel A. C.
Publicado: (2011)

Statistics for spatio-temporal data
por: Cressie, Noel, et al.
Publicado: (2011)

Spatio-temporal statistics with R
por: Wikle, Christopher K, et al.
Publicado: (2019)

Spatial Statistics and Spatio-Temporal Data: Covariance Functions and Directional Properties
por: Sherman, Michael
Publicado: (2010)

Analyzing the spatial and temporal distribution of human brucellosis in Azerbaijan (1995 - 2009) using spatial and spatio-temporal statistics
por: Abdullayev, Rakif, et al.
Publicado: (2012)

Biomarker-Guided Adaptive Trial Designs in Phase II and Phase III: A Methodological Review
por: Antoniou, Miranta, et al.
Publicado: (2016)

Joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysis
por: Sudell, Maria, et al.
Publicado: (2016)

Correction to: joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysis
por: Sudell, Maria, et al.
Publicado: (2018)

Correction: Antoniou, M.; et al. Biomarker-Guided Non-Adaptive Trial Designs in Phase II and Phase III: A Methodological Review. J. Pers. Med. 2017, 7, 1
por: Antoniou, Miranta, et al.
Publicado: (2018)

Correction: Antoniou, M.; et al. Fixed and Adaptive Parallel Subgroup-Specific Design for Survival Outcomes: Power and Sample Size. J. Pers. Med. 2017, 7, 19
por: Antoniou, Miranta, et al.
Publicado: (2018)

Fixed and Adaptive Parallel Subgroup-Specific Design for Survival Outcomes: Power and Sample Size
por: Antoniou, Miranta, et al.
Publicado: (2017)

Biomarker-Guided Non-Adaptive Trial Designs in Phase II and Phase III: A Methodological Review
por: Antoniou, Miranta, et al.
Publicado: (2017)

Statistical methods for spatio-temporal systems
por: Finkenstadt, Barbel, et al.
Publicado: (2006)

A review of the handling of missing longitudinal outcome data in clinical trials
por: Powney, Matthew, et al.
Publicado: (2014)

Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic
por: Tang, Jia-Hong, et al.
Publicado: (2019)

Spatial, Temporal and Spatio-Temporal Patterns of Maritime Piracy
por: Marchione, Elio, et al.
Publicado: (2013)

Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues
por: Hickey, Graeme L., et al.
Publicado: (2016)

joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes
por: Hickey, Graeme L., et al.
Publicado: (2018)

Bayesian joint modelling of longitudinal and time to event data: a methodological review
por: Alsefri, Maha, et al.
Publicado: (2020)

A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea
por: Byun, Han Geul, et al.
Publicado: (2021)

Assessment and clinical course of hypocalcemia in critical illness
por: Steele, Tom, et al.
Publicado: (2013)

A new PSO-optimized geometry of spatial and spatio-temporal scan statistics for disease outbreak detection
por: Izakian, Hesam, et al.
Publicado: (2012)

Applying Spatio-temporal Scan Statistics and Spatial Autocorrelation Statistics to identify Covid-19 clusters in the world - A Vaccination Strategy?
por: Morais, Lucas Rabelo de Araújo, et al.
Publicado: (2021)

The Functional Spatio-Temporal Statistical Model with Application to O(3) Pollution in Beijing, China
por: Wang, Yaqiong, et al.
Publicado: (2020)

Spatial and spatio-temporal bayesian models with R - INLA
por: Blangiardo, Marta, et al.
Publicado: (2015)

Spatial clustering in the spatio-temporal dynamics of endemic cholera
por: Ruiz-Moreno, Diego, et al.
Publicado: (2010)

Spatial and spatio-temporal analysis of malaria cases in Zimbabwe
por: Gwitira, Isaiah, et al.
Publicado: (2020)

Adjusting for treatment changes in epilepsy: causal analysis of randomised controlled trial survival outcomes in the presence of departure from randomised treatment
por: Dodd, Susanna, et al.
Publicado: (2013)

Investigation of multi-scale spatio-temporal pattern of oldest-old clusters in China on the basis of spatial scan statistics
por: Xu, Xin, et al.
Publicado: (2019)

Assessing the potential for outcome reporting bias in a review: a tutorial
por: Dwan, Kerry, et al.
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_l0fauhf76vvpdc9u9qa3dhi5om