about
Global mortality estimates for the 2009 Influenza Pandemic from the GLaMOR project: a modeling studyThe rise of multiple imputation: a review of the reporting and implementation of the method in medical researchDual imputation model for incomplete longitudinal data.Longitudinal missing data strategies for substance use clinical trials using generalized estimating equations: an example with a buprenorphine trial.When do people with dementia die peacefully? An analysis of data collected prospectively in long-term care settings.Introduction to multiple imputation for dealing with missing data.Binary variable multiple-model multiple imputation to address missing data mechanism uncertainty: application to a smoking cessation trial.Analysis of Variance of Multiply Imputed Data.Multiple imputation: a mature approach to dealing with missing data.A Comparison of Imputation Strategies for Ordinal Missing Data on Likert Scale Variables.Comparing multiple imputation methods for systematically missing subject-level data.Discriminating Multiple Emotional States from EEG Using a Data-Adaptive, Multiscale Information-Theoretic Approach.Principled Missing Data Treatments.Filling gaps in notification data: a model-based approach applied to travel related campylobacteriosis cases in New Zealand.Multiple imputation by chained equations for systematically and sporadically missing multilevel data.Multiple imputation in the presence of non-normal data.The association between child maltreatment and emotional, cognitive, and physical health functioning in Vietnam.Efficacy of shared decision making on treatment satisfaction for patients with first-admission schizophrenia: study protocol for a randomised controlled trial.Comparison of methods for imputing limited-range variables: a simulation study.The effectiveness of a Supported Self-management task-shifting intervention for adult depression in Vietnam communities: study protocol for a randomized controlled trialPsychotropic drug use and mortality in old people with dementia: investigating sex differences.A new look at risk patterns related to coronary heart disease incidence using survival tree analysis: 12 Years Longitudinal Study.Full Information Maximum Likelihood Estimation for Latent Variable Interactions With Incomplete Indicators.Do intravenous N-acetylcysteine and sodium bicarbonate prevent high osmolal contrast-induced acute kidney injury? A randomized controlled trial.Assessing eating disorder symptoms in adolescence: is there a role for multiple informants?Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample researchSensitivity analysis for a partially missing binary outcome in a two-arm randomized clinical trial.Statistical inference for Hardy-Weinberg proportions in the presence of missing genotype information.Who will benefit from antidepressants in the acute treatment of bipolar depression? A reanalysis of the STEP-BD study by Sachs et al. 2007, using Q-learningAssessing assay agreement estimation for multiple left-censored data: a multiple imputation approach.Shared versus specific features of psychological symptoms and cigarettes per day: structural relations and mediation by negative- and positive-reinforcement smoking.International study of perceived neighbourhood environmental attributes and Body Mass Index: IPEN Adult study in 12 countries.Prostate cancer: net survival and cause-specific survival rates after multiple imputation.Associations between parental chronic pain and self-esteem, social competence, and family cohesion in adolescent girls and boys--family linkage data from the HUNT study.Evaluation of a weighting approach for performing sensitivity analysis after multiple imputation.Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.Sensitivity analysis in multiple imputation in effectiveness studies of psychotherapy.Predictors of health-related quality of life in patients with irritable bowel syndrome. A cross-sectional study in Norway.LOng-term follow-up after liVE kidney donation (LOVE) study: a longitudinal comparison study protocol.Missing value imputation for physical activity data measured by accelerometer.
P2860
Q21144595-7B096D45-88A8-46B7-A139-EDC8AA42678BQ26828889-78534C58-C3E4-48CC-8314-7FF38CC0F7BEQ30658889-C16A86A8-A10A-4170-8379-E5C9829A8035Q30665558-9B6D6C54-C325-4D79-9FCD-2C5CCA2289E6Q30704876-C676AC6E-7362-47E4-92E7-F8B8735BF952Q30724460-28DE19FF-890D-465B-8B83-74ECE24180ABQ30779037-6A1CDAD2-E2CC-4597-8884-8C672FC09B47Q30826694-54C20291-2E75-48D0-B1E6-DA10A528BEC8Q30884026-DEC1C97E-40BF-42A7-9BFD-63556CBC65CFQ31028438-039060E1-E3B0-4952-A126-074B13EE6F72Q31032663-309E54E8-5872-4A82-91F6-95D21F3F60DAQ31041733-10CF2968-9BFF-4831-87EF-039134CEE4C6Q31067270-AEA42F4B-6F6F-400F-A68B-89CA7F853113Q31127036-066B378A-590A-4808-9326-CF8FB3119B77Q31131831-15EC22AC-8E13-4C4A-82F1-6D21CD99EECCQ31143231-53208AD7-DFF5-4B8F-8742-DC39E80B7252Q33576764-3AEBF310-FC17-4FE0-8CB2-9AC073794943Q33612308-D27E1A94-0BD6-4AEA-A6A4-66A15533D16BQ33612407-44F09229-D7B4-44F1-A2F0-B6BAE046BB87Q33640726-F54D0F69-9BE5-48E0-96FB-F21996AF6843Q33729950-D3B2C507-D09A-4B39-A2A9-030FE9BF4695Q33789885-B518F6CB-4677-4F6C-9D06-8AFF8A910171Q33850385-1972529B-57E3-4FBC-8C48-26B95061A92EQ34257105-8C26D9FA-36F0-4849-B23F-54AB516FF490Q34281370-02518EFB-786D-4260-ACCD-76C6464E751BQ34502220-86C1D546-AAD9-4314-B44D-BB57DFBF4AE5Q34978288-AD8FD9F4-7802-4D54-B43C-39DA9E8922D1Q35082429-CB630C54-D578-4F44-AEA0-590EA1DAA822Q35252303-B4151060-4935-44F8-B65A-06DC9A3CB158Q35310570-9E9E8D1F-D837-4041-AC3A-E41FEEDA0E02Q35531227-2FD1E829-31B4-4F39-94CD-19A4081F4F18Q35632700-C4FF2AB4-7266-4DEE-8BA3-0E40A6D16E71Q35717806-6AA8D5F2-8FE4-4650-BE90-97DD4A06ED50Q35752583-53CAD16C-3DA0-4D5A-A232-CDC7C233EA4EQ35805711-DBDA5EA0-3815-4C84-82B0-46FFB4F2657FQ35883590-7A6E487B-E2A5-42BB-8DB5-75C058FBDCB0Q35891542-85DE8556-4A72-4235-B85B-21A5C1814C59Q35899179-7F9C0F91-0D8E-4425-A4B6-AD2D676A12C1Q35910096-E143ABD5-E10A-41E8-BE93-A543717C71DDQ35963601-055E1B48-87E5-4AF6-AD66-810A6FF48B00
P2860
description
wetenschappelijk artikel
@nl
наукова стаття, опублікована в березні 2012
@uk
name
Flexible Imputation of Missing Data
@en
Flexible Imputation of Missing Data
@nl
type
label
Flexible Imputation of Missing Data
@en
Flexible Imputation of Missing Data
@nl
prefLabel
Flexible Imputation of Missing Data
@en
Flexible Imputation of Missing Data
@nl
P356
P1476
Flexible Imputation of Missing Data
@en
P2093
Stef Buuren
P356
10.1201/B11826
P577
2012-03-29T00:00:00Z