Is using multiple imputation better than complete case analysis for estimating a prevalence (risk) difference in randomized controlled trials when binary outcome observations are missing?
about
Is using multiple imputation better than complete case analysis for estimating a prevalence (risk) difference in randomized controlled trials when binary outcome observations are missing?
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 22 July 2016
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Is using multiple imputation b ...... come observations are missing?
@en
Is using multiple imputation b ...... is for estimating a prevalence
@nl
type
label
Is using multiple imputation b ...... come observations are missing?
@en
Is using multiple imputation b ...... is for estimating a prevalence
@nl
prefLabel
Is using multiple imputation b ...... come observations are missing?
@en
Is using multiple imputation b ...... is for estimating a prevalence
@nl
P2093
P2860
P1433
P1476
Is using multiple imputation b ...... come observations are missing?
@en
P2093
E Brian Faragher
Linda Kalilani-Phiri
Mavuto Mukaka
Sarah A White
P2860
P2888
P356
10.1186/S13063-016-1473-3
P577
2016-07-22T00:00:00Z
P6179
1024994786