Cargando…

Segmented Linear Regression Modelling of Time-Series of Binary Variables in Healthcare

INTRODUCTION: In healthcare, change is usually detected by statistical techniques comparing outcomes before and after an intervention. A common problem faced by researchers is distinguishing change due to secular trends from change due to an intervention. Interrupted time-series analysis has been sh...

Descripción completa

Detalles Bibliográficos
Autores principales:	Valsamis, Epaminondas Markos, Husband, Henry, Chan, Gareth Ka-Wai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925779/ https://www.ncbi.nlm.nih.gov/pubmed/31885678 http://dx.doi.org/10.1155/2019/3478598

Ejemplares similares

Segmented Linear Regression Models for Assessing Change in Retrospective Studies in Healthcare
por: Valsamis, Epaminondas Markos, et al.
Publicado: (2019)

Evaluating learning and change in orthopaedics: What is the evidence-base?
por: Valsamis, Epaminondas Markos, et al.
Publicado: (2019)

Imageless navigation total hip arthroplasty – an evaluation of operative time
por: Valsamis, Epaminondas Markos, et al.
Publicado: (2018)

Granulocytic sarcoma: a rare cause of sciatica
por: Valsamis, Epaminondas Markos, et al.
Publicado: (2017)

An unusual cause of ventilatory failure in motor neurone disease
por: Valsamis, Epaminondas Markos, et al.
Publicado: (2017)

Minimally Invasive Lower Leg Fasciotomy for Chronic Exertional Compartment Syndrome—How Safe Is It? A Cadaveric Study
por: Grechenig, Peter, et al.
Publicado: (2020)

Segmented Regression in an Interrupted Time Series Study Design
por: Schober, Patrick, et al.
Publicado: (2021)

Shoulder replacement surgery’s rising demand, inequality of provision, and variation in outcomes: cohort study using Hospital Episode Statistics for England
por: Valsamis, Epaminondas Markos, et al.
Publicado: (2023)

Dual-incision minimally invasive fasciotomy of the anterior and peroneal compartments for chronic exertional compartment syndrome of the lower leg
por: Grechenig, Christoph, et al.
Publicado: (2020)

Linear models and time-series analysis: regression, anova, arma and garch
por: Paolella, Marc S
Publicado: (2018)

The Management of Symptomatic Lumbar Disc Herniation in Pregnancy: A Systematic Review
por: Whiles, Emily, et al.
Publicado: (2019)

Primer on binary logistic regression
por: Harris, Jenine K
Publicado: (2021)

Non-linear auto-regressive models for cross-frequency coupling in neural time series
por: Dupré la Tour, Tom, et al.
Publicado: (2017)

Biostatistics Series Module 6: Correlation and Linear Regression
por: Hazra, Avijit, et al.
Publicado: (2016)

Segmentation of the ECG Signal by Means of a Linear Regression Algorithm
por: Aspuru, Javier, et al.
Publicado: (2019)

Association between surgeon volume and patient outcomes after elective shoulder replacement surgery using data from the National Joint Registry and Hospital Episode Statistics for England: population based cohort study
por: Valsamis, Epaminondas Markos, et al.
Publicado: (2023)

No rationale for 1 variable per 10 events criterion for binary logistic regression analysis
por: van Smeden, Maarten, et al.
Publicado: (2016)

Application of Empirical Mode Decomposition with Local Linear Quantile Regression in Financial Time Series Forecasting
por: Jaber, Abobaker M., et al.
Publicado: (2014)

Correction: Primer on binary logistic regression
Publicado: (2022)

Stable variable ranking and selection in regularized logistic regression for severely imbalanced big binary data
por: Nadeem, Khurram, et al.
Publicado: (2023)

On the linear in probability model for binary data
por: Battey, H. S., et al.
Publicado: (2019)

Linear regression
por: Beck, Vera L
Publicado: (2017)

Linear regression
por: Groß, Jürgen
Publicado: (2003)

Linear regression
por: Gross, Jurgen
Publicado: (2003)

Linear regression
por: Olive, David J
Publicado: (2017)

Forecasting, time series, and regression : an applied approach /
por: Bowerman, Bruce L.
Publicado: (2005)

Study of Bayesian variable selection method on mixed linear regression models
por: Li, Yong, et al.
Publicado: (2023)

Beyond logistic regression: structural equations modelling for binary variables and its application to investigating unobserved confounders
por: Kupek, Emil
Publicado: (2006)

The use of segmented regression in analysing interrupted time series studies: an example in pre-hospital ambulance care
por: Taljaard, Monica, et al.
Publicado: (2014)

Modelling climate variabilities and global rice production: A panel regression and time series analysis
por: Joseph, Masha, et al.
Publicado: (2023)

The Chain Ratio Estimator and Regression Estimator with Linear Combination of Two Auxiliary Variables
por: Lu, Jingli
Publicado: (2013)

Comparison of Bi- and Tri-Linear PLS Models for Variable Selection in Metabolomic Time-Series Experiments
por: Gao, Qian, et al.
Publicado: (2019)

LASSO type penalized spline regression for binary data
por: Mullah, Muhammad Abu Shadeque, et al.
Publicado: (2021)

Binary Response Analysis Using Logistic Regression in Dentistry
por: Srimaneekarn, Natchalee, et al.
Publicado: (2022)

The impact of prescriptions audit and feedback for antibiotic use in rural clinics: interrupted time series with segmented regression analysis
por: Zhen, Li, et al.
Publicado: (2018)

Applied linear regression /
por: Weisberg, Sanford, 1947-
Publicado: (2005)

Linear regression analysis
por: Seber, G. A. F. (George Arthur Frederick), 1938-
Publicado: (1997)

Regression with Linear Predictors
por: Andersen, Per Kragh, et al.
Publicado: (2010)

Regression and linear models /
por: Darlington, Richard B.
Publicado: (1990)

Linear Regression Analysis
por: Seber, George A F, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_gk2ug701ipq5vn32fsk92cg5fs