Multiple imputation in health-care databases: an overview and some applications.
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Regional variation in out-of-hospital cardiac arrest incidence and outcomeMeasurement of vaccination coverage at age 24 and 19-35 months: a case study of multiple imputation in public health.Diagnostic prediction models for suspected pulmonary embolism: systematic review and independent external validation in primary careTemporal variability of pesticide concentrations in homes and implications for attenuation bias in epidemiologic studiesChronic obstructive pulmonary disease mortality in railroad workersWork-related asthma in Montreal, Quebec: population attributable risk in a community-based studyHelmet use among Alaskan children involved in off-road motorized vehicle crashesSmoking imputation and lung cancer in railroad workers exposed to diesel exhaustFactors associated with post-seasonal serological titer and risk factors for infection with the pandemic A/H1N1 virus in the French general population.Improved healing response in delayed unions of the tibia with low-intensity pulsed ultrasound: results of a randomized sham-controlled trial.Cardiovascular and subjective effects of repeated smoked cocaine administration in experienced cocaine usersUnintended consequences of a standard admission order set on venous thromboembolism prophylaxis and patient outcomes.Uncovering nativity disparities in cancer patterns: Multiple imputation strategy to handle missing nativity data in the Surveillance, Epidemiology, and End Results data file.Addressing Missing Data Mechanism Uncertainty using Multiple-Model Multiple Imputation: Application to a Longitudinal Clinical Trial.Semiparametric regression analysis of interval-censored data.Imputation strategies for missing data in a school-based multi-centre study: the Pathways study.Sensitivity analysis of incomplete longitudinal data departing from the missing at random assumption: Methodology and application in a clinical trial with drop-outs.Multiple imputation: dealing with missing data.Multiple imputation in the presence of high-dimensional data.Missing data estimation in morphometrics: how much is too much?A multiple imputation method for sensitivity analyses of time-to-event data with possibly informative censoring.Multiple imputation of continuous data via a semiparametric probability integral transformation.Assessing response profiles from incomplete longitudinal clinical trial data under regulatory considerations.A nonparametric multiple imputation approach for data with missing covariate values with application to colorectal adenoma data.Frailty modeling for clustered competing risks data with missing cause of failure.Estimation of biomarker distributions using laboratory data collected during routine delivery of medical care.Fetal echocardiography for congenital heart disease diagnosis: a meta-analysis, power analysis and missing data analysis.Sensitivity analysis for missing outcomes in time-to-event data with covariate adjustment.Longitudinal Course of Physical Function in People With Symptomatic Knee Osteoarthritis: Data From the Multicenter Osteoarthritis Study and the Osteoarthritis Initiative.Options for handling missing data in the Health Utilities Index Mark 3.Adjusting effect estimates for unmeasured confounding with validation data using propensity score calibration.Effects of Different Missing Data Imputation Techniques on the Performance of Undiagnosed Diabetes Risk Prediction Models in a Mixed-Ancestry Population of South AfricaThe effect of correlation structure on treatment contrasts estimated from incomplete clinical trial data with likelihood-based repeated measures compared with last observation carried forward ANOVA.Estimation of survival functions in interval and right censored data using STD behavioural diaries.Predicting survival of pancreatic cancer patients treated with gemcitabine using longitudinal tumour size data.A prospective cohort study of stroke characteristics, care, and mortality in a hospital stroke registry in Vietnam.Advanced statistics: missing data in clinical research--part 1: an introduction and conceptual framework.Advanced statistics: missing data in clinical research--part 2: multiple imputation.Multiple imputation of discrete and continuous data by fully conditional specification.Multiple Imputation of Missing Composite Outcomes in Longitudinal Data.
P2860
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P2860
Multiple imputation in health-care databases: an overview and some applications.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on April 1991
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Multiple imputation in health-care databases: an overview and some applications.
@en
Multiple imputation in health-care databases: an overview and some applications.
@nl
type
label
Multiple imputation in health-care databases: an overview and some applications.
@en
Multiple imputation in health-care databases: an overview and some applications.
@nl
prefLabel
Multiple imputation in health-care databases: an overview and some applications.
@en
Multiple imputation in health-care databases: an overview and some applications.
@nl
P356
P1476
Multiple imputation in health-care databases: an overview and some applications.
@en
P2093
P304
P356
10.1002/SIM.4780100410
P407
P577
1991-04-01T00:00:00Z