Handling missing values in interrupted time series analysis of longitudinal individual-level data

Juan Carlos Bazo-Alvarez; Tim P. Morris; Tra My Pham; James R. Carpenter; Irene Petersen

doi:10.2147/CLEP.S266428

Handling missing values in interrupted time series analysis of longitudinal individual-level data

Juan Carlos Bazo-Alvarez
, Tim P. Morris
, Tra My Pham
, James R. Carpenter
, Irene Petersen

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

8 Citas (Scopus)

Idioma original	Inglés
Páginas (desde-hasta)	1045-1057
Número de páginas	13
Publicación	Clinical Epidemiology
Volumen	12
DOI	https://doi.org/10.2147/CLEP.S266428
Estado	Publicada - 1 ene. 2020

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title = "Handling missing values in interrupted time series analysis of longitudinal individual-level data",

keywords = "Big data, Electronic health records, Interrupted time series analysis, Missing data, Mixed effects models, Multiple imputation, Segmented regression",

author = "Bazo-Alvarez, \{Juan Carlos\} and Morris, \{Tim P.\} and Pham, \{Tra My\} and Carpenter, \{James R.\} and Irene Petersen",

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doi = "10.2147/CLEP.S266428",

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AU - Bazo-Alvarez, Juan Carlos

AU - Morris, Tim P.

AU - Pham, Tra My

AU - Carpenter, James R.

AU - Petersen, Irene

PY - 2020/1/1

Y1 - 2020/1/1

KW - Big data

KW - Electronic health records

KW - Interrupted time series analysis

KW - Missing data

KW - Mixed effects models

KW - Multiple imputation

KW - Segmented regression

UR - https://www.scopus.com/pages/publications/85092358260

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DO - 10.2147/CLEP.S266428

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VL - 12

SP - 1045

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JO - Clinical Epidemiology

JF - Clinical Epidemiology

ER -

Handling missing values in interrupted time series analysis of longitudinal individual-level data

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