Multiple Imputation for Multilevel Data with Continuous and Binary Variables

Vincent Audigier; Ian R. White; Shahab Jolani; Thomas P. A. Debray; Matteo Quartagno; James Carpenter; Stef van Buuren; Matthieu Resche-Rigon

doi:10.1214/18-STS646

Multiple Imputation for Multilevel Data with Continuous and Binary Variables

Vincent Audigier^*, Ian R. White, Shahab Jolani, Thomas P. A. Debray, Matteo Quartagno, James Carpenter, Stef van Buuren, Matthieu Resche-Rigon

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	160-183
Number of pages	24
Journal	Statistical Science
Volume	33
Issue number	2
DOIs	https://doi.org/10.1214/18-STS646
Publication status	Published - 1 May 2018

Keywords

Missing data
systematically missing values
multilevel data
mixed data
multiple imputation
joint modelling
fully conditional specification
FULLY CONDITIONAL SPECIFICATION
INDIVIDUAL PATIENT DATA
INTEGRATIVE DATA-ANALYSIS
MIXED-EFFECTS MODELS
MISSING-DATA
CHAINED EQUATIONS
MULTIVARIATE IMPUTATION
OBSERVATIONAL COHORT
RANDOMIZED-TRIALS
BAYESIAN-APPROACH

Access to Document

10.1214/18-STS646

https://doi.org/10.1214/18-sts646

Cite this

@article{e32fa41fe1ad401b866a24705d12c76c,

title = "Multiple Imputation for Multilevel Data with Continuous and Binary Variables",

keywords = "Missing data, systematically missing values, multilevel data, mixed data, multiple imputation, joint modelling, fully conditional specification, FULLY CONDITIONAL SPECIFICATION, INDIVIDUAL PATIENT DATA, INTEGRATIVE DATA-ANALYSIS, MIXED-EFFECTS MODELS, MISSING-DATA, CHAINED EQUATIONS, MULTIVARIATE IMPUTATION, OBSERVATIONAL COHORT, RANDOMIZED-TRIALS, BAYESIAN-APPROACH",

author = "Vincent Audigier and White, {Ian R.} and Shahab Jolani and Debray, {Thomas P. A.} and Matteo Quartagno and James Carpenter and {van Buuren}, Stef and Matthieu Resche-Rigon",

year = "2018",

month = may,

day = "1",

doi = "10.1214/18-STS646",

language = "English",

volume = "33",

pages = "160--183",

journal = "Statistical Science",

issn = "0883-4237",

publisher = "Institute of Mathematical Statistics",

number = "2",

}

Multiple Imputation for Multilevel Data with Continuous and Binary Variables. / Audigier, Vincent; White, Ian R.; Jolani, Shahab; Debray, Thomas P. A.; Quartagno, Matteo; Carpenter, James; van Buuren, Stef; Resche-Rigon, Matthieu.

In: Statistical Science, Vol. 33, No. 2, 01.05.2018, p. 160-183.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Multiple Imputation for Multilevel Data with Continuous and Binary Variables

AU - Audigier, Vincent

AU - White, Ian R.

AU - Jolani, Shahab

AU - Debray, Thomas P. A.

AU - Quartagno, Matteo

AU - Carpenter, James

AU - van Buuren, Stef

AU - Resche-Rigon, Matthieu

PY - 2018/5/1

Y1 - 2018/5/1

KW - Missing data

KW - systematically missing values

KW - multilevel data

KW - mixed data

KW - multiple imputation

KW - joint modelling

KW - fully conditional specification

KW - FULLY CONDITIONAL SPECIFICATION

KW - INDIVIDUAL PATIENT DATA

KW - INTEGRATIVE DATA-ANALYSIS

KW - MIXED-EFFECTS MODELS

KW - MISSING-DATA

KW - CHAINED EQUATIONS

KW - MULTIVARIATE IMPUTATION

KW - OBSERVATIONAL COHORT

KW - RANDOMIZED-TRIALS

KW - BAYESIAN-APPROACH

U2 - 10.1214/18-STS646

DO - 10.1214/18-STS646

M3 - Article

VL - 33

SP - 160

EP - 183

JO - Statistical Science

JF - Statistical Science

SN - 0883-4237

IS - 2

ER -