Sample size and power considerations for ordinary least squares interrupted time series analysis: a simulation study

Sample size and power considerations for ordinary least squares interrupted time series analysis: a simulation study

Interrupted time series (ITS) analysis is being increasingly used in epidemiology. Despite its growing popularity, there is a scarcity of guidance on power and sample size considerations within the ITS framework. Our aim of this study was to assess the statistical power to detect an intervention eff...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Hawley, S, Ali, MS, Berencsi, K, Judge, A, Prieto-Alhambra, D
Natura:	Journal article
Pubblicazione:	Dove Medical Press 2019

Documenti analoghi

Power consideration for interrupted time-series analysis: a simulation study
di: Hawley, S, et al.
Pubblicazione: (2017)

The calculation of ordinary least squares,
di: Hall, Robert Ernest
Pubblicazione: (2011)

Differentially Private Ordinary Least Squares
di: Or Sheffet
Pubblicazione: (2019-03-01)

Monte Carlo Methodology and the Small Sample Behaviour of Ordinary and Two-Stage Least Squares.
di: Hendry, D, et al.
Pubblicazione: (1974)

Forensic Speaker Verification Using Ordinary Least Squares
di: Thyago J. Machado, et al.
Pubblicazione: (2019-10-01)

Least Square Homotopy Perturbation Method for Ordinary Differential Equations
di: Mubashir Qayyum, et al.
Pubblicazione: (2021-01-01)

The Competitiveness of the Indonesian Medium High Technology Sector: Robust Least Squares and Fully Modified Ordinary Least Squares Approach
di: Heru Wahyudi, et al.
Pubblicazione: (2025-02-01)

Comparison between total least squares and ordinary least squares in obtaining the linear relationship between stable water isotopes
di: Jeonghoon Lee, et al.
Pubblicazione: (2022-02-01)

Estimating Detection Limits in Chromatography from Calibration Data: Ordinary Least Squares Regression vs. Weighted Least Squares
di: Juan M. Sanchez
Pubblicazione: (2018-10-01)

A simulation study of ordinary least squares and robust regression on simple linear regression model /
di: Husna Nuraiin Hamidi, 1991-, et al.
Pubblicazione: (2014)

Fuzzy Regression VS. Ordinary Least Squares Regression: Case Study
di: Sergio Gerardo De los Cobos Silva, et al.
Pubblicazione: (2011-03-01)

Anti-osteoporosis medication prescriptions and incidence of secondary fracture amongst hip fracture patients in England and Wales: an age stratified interrupted time series analysis
di: Hawley, S, et al.
Pubblicazione: (2018)

ACCURACY ASSESSMENT OF HEIGHTS OBTAINED FROM TOTAL STATION AND LEVEL INSTRUMENT USING TOTAL LEAST SQUARES AND ORDINARY LEAST SQUARES METHODS
di: Richard Fiifi Annan, et al.
Pubblicazione: (2016-10-01)

A New Convex Estimator Combining Ridge and Ordinary Least Squares Estimators
di: Karam Al-janabi, et al.
Pubblicazione: (2024-12-01)

Ordinary Least Squares: the Adequacy of Linear Regression Solutions under Multicollinearity and without it
di: Tyzhnenko Alexander G., et al.
Pubblicazione: (2019-03-01)

Health impact on Economy by Artificial Neural Network and Dynamic Ordinary Least Squares
di: Marziyeh Sadat Safe, et al.
Pubblicazione: (2017-10-01)

Least squares approximations of power series
di: James Guyker
Pubblicazione: (2006-01-01)

Anti-osteoporosis medication prescriptions and incidence of subsequent fracture among primary hip fracture patients in England and Wales: an interrupted time-series analysis
di: Hawley, S, et al.
Pubblicazione: (2016)

Development of property valuation model for tax purposes using ordinary least square method
di: Oliver Valentine Eboy, et al.
Pubblicazione: (2014)

Approximated Uncertainty Propagation of Correlated Independent Variables Using the Ordinary Least Squares Estimator
di: Jeong Sik Lim, et al.
Pubblicazione: (2024-03-01)

Estimating weibull parameters using maximum likelihood estimation and ordinary least squares: simulation study and application on meteorological data
di: Mohd Ikbal, Nawal Adlina, et al.
Pubblicazione: (2022)

Can the publication of guidelines change the management of early rheumatoid arthritis? An interrupted time series analysis from the United Kingdom
di: Judge, A, et al.
Pubblicazione: (2015)

A Comparison of Two-Stage Least Squares (TSLS) and Ordinary Least Squares (OLS) in Estimating the Structural Relationship between After-School Exercise and Academic Performance
di: Kyulee Shin, et al.
Pubblicazione: (2021-12-01)

The Impact of Biologic Therapy Introduction on Hip and Knee Replacement Among Rheumatoid Arthritis Patients: An Interrupted Time Series Analysis Using the Clinical Practice Research Datalink
di: Hawley, S, et al.
Pubblicazione: (2016)

Impact of biologic therapies on need for hip and knee replacement among rheumatoid arthritis and non-rheumatoid arthritis patients in Ontario, Canada: An interrupted time-series analysis
di: Hawley, S, et al.
Pubblicazione: (2017)

The program for estimation non-elementary linear regressions with two variables using ordinary least squares
di: M. P. Bazilevskiy, et al.
Pubblicazione: (2022-11-01)

A Novel Approach to Regression: Exploring the Similarity Space with Ordinary Least Squares on Database Records
di: Ondřej Rozinek, et al.
Pubblicazione: (2023-11-01)

A Framework for Identifying Essential Proteins with Hybridizing Deep Neural Network and Ordinary Least Squares
di: Sai Zou, et al.
Pubblicazione: (2023-07-01)

RILS-ROLS: robust symbolic regression via iterated local search and ordinary least squares
di: Aleksandar Kartelj, et al.
Pubblicazione: (2023-05-01)

Value-added in higher education: ordinary least squares and quantile regression for a Colombian case
di: Jose D Bogoya, et al.
Pubblicazione: (2017-09-01)

Last but not least: the ethics of the ordinary.
di: Papanikitas, A, et al.
Pubblicazione: (2010)

Association between NICE guidance on biologic therapies with rates of hip and knee replacement among rheumatoid arthritis patients in England and Wales: an interrupted time-series analysis
di: Hawley, S, et al.
Pubblicazione: (2017)

Large Sample Behavior of the Least Trimmed Squares Estimator
di: Yijun Zuo
Pubblicazione: (2024-11-01)

Regularized Least Square Regression with Unbounded and Dependent Sampling
di: Xiaorong Chu, et al.
Pubblicazione: (2013-01-01)

Comparison of linear regression models Ordinary Lasso, Adaptive Group Lasso and Ordinary Least Squares models in selecting effective characteristics to predict the expected return
di: Raheleh ossadat Mortazavi, et al.
Pubblicazione: (1999-12-01)

Evaluating Household Consumption Patterns: Comparative Analysis Using Ordinary Least Squares and Random Forest Regression Models
di: En Lee, et al.
Pubblicazione: (2024-06-01)

Classification of light Yorkshire pigs at different production stages using ordinary least squares and machine learning methods
di: J. Casellas, et al.
Pubblicazione: (2024-01-01)

SPATIO-TEMPORAL ANALYSIS AND MODELLING OF DENGUE INCIDENCES IN QUEZON CITY USING ORDINARY LEAST SQUARES AND SPATIAL REGRESSION
di: A. C. Blanco, et al.
Pubblicazione: (2023-02-01)

SPATIAL CLUSTERING PHENOMENA OF COVID-19 CASES IN SELANGOR: A HOTSPOT ANALYSIS AND ORDINARY LEAST SQUARES METHOD
di: N. S. Mohammad, et al.
Pubblicazione: (2023-02-01)

Jitter compensation in sampling via polynomial least squares estimation
di: Weller, Daniel Stuart, et al.
Pubblicazione: (2012)