Results 111 to 120 of about 204,036 (213)

missForestPredict-Missing data imputation for prediction settings. [PDF]

PLoS One
Albu E, Gao S, Wynants L, Van Calster B.
europepmc   +1 more source

SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification. [PDF]

PLoS One
Jena M, Dehuri S, Cho SB.
europepmc   +1 more source

Compensating for Missing Data from Longitudinal Studies Using WinBUGS

Missing data is a common problem in survey based research. There are many packages that compensate for missing data but few can easily compensate for missing longitudinal data.
Gita Mishra, Gretchen Carrigan, Adrian G. Barnett, Annette J. Dobson   +3 more
core  

Multiple imputation of time series: an application to the construction of historical price indexes [PDF]

Time series in many areas of application, and notably in the social sciences, are frequently incomplete. This is particularly annoying when we need to have complete data, for instance to compute indexes as a weighted average of values from a number of ...
Tusell Palmer, Fernando Jorge
core  

Missing data imputation in hourly CO measurements for air quality monitoring: a case study in the city of Salvador, Brazil. [PDF]

Environ Monit Assess
de Assis TCB, Fontes CH, Albuquerque ÉL.   +2 more
europepmc   +1 more source

A comparison of two methods of estimating propensity scores after multiple imputation

, 2011
In many observational studies, analysts estimate treatment effects using propensity scores, e.g., by matching or sub classifying on the scores. When some values of the covariates are missing, analysts can use multiple imputation to fill in the missing ...
Reiter, Jerome P., Mitra, Robin
core  

A Missing Data Imputation Method for Gas Time Series Based on Spatio-Temporal Graph Attention Network-Echo State Network. [PDF]

Sensors (Basel)
Yang J, Qin K, Ye J, Zhao Y, Shu L.
europepmc   +1 more source

Deep Learning Methods for Omics Data Imputation. [PDF]

Biology (Basel), 2023
Huang L, Song M, Shen H, Hong H, Gong P, Deng HW, Zhang C.   +6 more
europepmc   +1 more source

MANOVA modelling of a chiropractic longitudinal study using multiple imputation

, 2012
The purpose of this report is to present the detailed statistical analysis of a randomised, placebo-controlled trial comparing two different treatment modalities to an intervention of no known benefit for people with acute or subacute thoracic spine pain.
Clarke, B.R., Bowden, R.S., Walker, B.F.
core  

Machine learning for missing data imputation in Alzheimer's research: predicting medial temporal lobe dynamic flexibility. [PDF]

Cogn Neurodyn
Moallemian S, Saghafi A, Deshpande R, Perez JM, Budak M, Fausto BA, Elahi FM, Gluck MA.   +7 more
europepmc   +1 more source