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Handling Missing Values in Interrupted Time Series Analysis of Longitudinal Individual-Level Data

Juan Carlos Bazo-Alvarez,1,2 Tim P Morris,3 Tra My Pham,3 James R Carpenter,3,4 Irene Petersen1,5 1Research Department of Primary Care and Population Health, University College London (UCL), London, UK; 2Instituto de Investigación, Universidad Católica Los Ángeles de Chimbote, C...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Bazo-Alvarez JC, Morris TP, Pham TM, Carpenter JR, Petersen I
Format: Artigo
Sprache:Inglês
Veröffentlicht: Dove Medical Press 2020-10-01
Schriftenreihe:Clinical Epidemiology
Schlagworte:
interrupted time series analysis
segmented regression
missing data
multiple imputation
mixed effects models
electronic health records
big data.
Online-Zugang:https://www.dovepress.com/handling-missing-values-in-interrupted-time-series-analysis-of-longitu-peer-reviewed-article-CLEP
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