Attrition in longitudinal studies. How to deal with missing data.
about
Data cleaning: detecting, diagnosing, and editing data abnormalitiesMissing paternal demographics: A novel indicator for identifying high risk population of adverse pregnancy outcomesIncomplete quality of life data in lung transplant research: comparing cross sectional, repeated measures ANOVA, and multi-level analysisEvidence and practice in spine registriesEffectiveness of a web-based intervention for injured claimants: a randomized controlled trialkmlShape: An Efficient Method to Cluster Longitudinal Data (Time-Series) According to Their ShapesResults differ by applying distinctive multiple imputation approaches on the longitudinal cardiovascular health study dataEstimating the effect of multiple imputation on incomplete longitudinal data with application to a randomized clinical study.Multi-level modelling of longitudinal child growth data from the Birth-to-Twenty Cohort: a comparison of growth models.Worsening of pain and function over 5 years in individuals with 'early' OA is related to structural damage: data from the Osteoarthritis Initiative and CHECK (Cohort Hip & Cohort Knee) study.Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomesUse of observational data in evaluating treatments: antiretroviral therapy and HIV.Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals.Missing data imputation: focusing on single imputation.Advanced statistics: missing data in clinical research--part 1: an introduction and conceptual framework.Multiple imputation of discrete and continuous data by fully conditional specification.Effects of medication-treated diabetes on incidence and progression of knee osteoarthritis: a longitudinal analysis of the Osteoarthritis Initiative data.Simple imputation methods were inadequate for missing not at random (MNAR) quality of life dataSelective attrition and bias in a longitudinal health survey among survivors of a disasterEffects of mental practice embedded in daily therapy compared to therapy as usual in adult stroke patients in Dutch nursing homes: design of a randomised controlled trialA randomised controlled trial evaluating family mediated exercise (FAME) therapy following stroke.Cardiac rehabilitation adapted to transient ischaemic attack and stroke (CRAFTS): a randomised controlled trialThe National Data Bank for rheumatic diseases: a multi-registry rheumatic disease data bank.A three-group study, internet-based, face-to-face based and standard- management after acute whiplash associated disorders (WAD) - choosing the most efficient and cost-effective treatment: study protocol of a randomized controlled trial.Analyzing Longitudinal Data with Multilevel Models: An Example with Individuals Living with Lower Extremity Intra-articular FracturesThe healthy steps study: a randomized controlled trial of a pedometer-based green prescription for older adults. Trial protocolThe working mechanisms of an environmentally tailored physical activity intervention for older adults: a randomized controlled trial.Manual therapy compared with physical therapy in patients with non-specific neck pain: a randomized controlled trial.The impact of attrition on the representativeness of cohort studies of older people.Effects of strengthening, stretching and functional training on foot function in patients with diabetic neuropathy: results of a randomized controlled trial.IMPOSE (IMProving Outcomes after Sepsis)-the effect of a multidisciplinary follow-up service on health-related quality of life in patients postsepsis syndromes-a double-blinded randomised controlled trial: protocolEffectiveness of integrated care on delaying chronic kidney disease progression in rural communities of Thailand (ESCORT study): rationale and design of the study [NCT01978951].Effect of in-hospital comprehensive geriatric assessment (CGA) in older people with hip fracture. The protocol of the Trondheim Hip Fracture trialImportance of social capital at the workplace for return to work among women with a history of long-term sick leave: a cohort studyGender differences and determinants of health related quality of life in coronary patients: a follow-up study.Kids in the city study: research design and methodology.Life values as predictors of pain, disability and sick leave among Swedish registered nurses: a longitudinal study.Candidate molecular pathway genes related to appetite regulatory neural network, adipocyte homeostasis and obesity: results from the CARDIA Study.Predicting missing biomarker data in a longitudinal study of Alzheimer diseaseIn vivo longitudinal MRI and behavioral studies in experimental spinal cord injury.
P2860
Q21144716-4C674371-EA4E-4789-82C8-26B9A1B739DAQ24800836-72B67E70-AC9B-43CE-A1C6-1149E5E7AA0BQ24817037-2C9E0C27-C4B2-4006-A6C0-4C828DB9679BQ26865134-5C00CF43-33CB-4E29-AEBD-11288E24DF27Q28673729-A7394347-FFED-4C5F-9763-8C68E65E4E7BQ30000096-2F8834D8-9A17-4F40-9570-BC5E8B1CED1CQ30585960-83FC2E16-A2D2-48AF-8805-2A97DB171A9FQ30662284-4247F696-147C-4231-8B4B-4E7B4FC2868AQ30674466-4D373929-C45A-4570-B5C1-9EED52FE7B9AQ30696873-E699529D-F989-4569-8D81-D37EF39FAE22Q30887879-81E60969-E74B-4DB7-AED7-6AF1E0CEF22BQ30969932-A5AD2BFE-E90C-4E47-AE8D-353BFB2D7941Q31016853-1057C495-3CC7-43DC-8033-03DE09E6F041Q31043577-CC152094-CAC8-4047-8357-998A5A8B60F8Q31114179-56E5EEF0-E5C2-489A-A87C-A9F310194DC4Q31118138-A676F733-EF50-4F96-9FD9-61F31FB65DF0Q31168267-5F023BEE-563C-4E51-AB18-939DADA1477AQ31168964-C7072D6A-C0A8-4DE8-A638-E38654160863Q33273967-DF915DDC-EF1B-4286-B270-464A7967BD9BQ33302697-089B64EC-0D0F-4C14-B46A-3A587245E995Q33345558-10F603AD-7542-4AF3-A752-6409338BEBFCQ33411535-3B50CC11-46DF-4688-B8AC-BB6106FFFF06Q33452656-147FC36E-5EBA-4841-B516-F3657E1E5C7EQ33485557-90C946E5-A69A-4B55-AB09-B6BC0A67AC59Q33489498-AFB055EF-C2E8-43D9-A661-DC2F8D0674D9Q33514148-7006BDE9-AF44-4E65-867D-5A5E522D326CQ33567757-E15B7A69-0F61-4543-8F24-F6DCCBA39BB6Q33612654-52BCC90C-59AB-4493-8617-7360893FF96FQ33650303-ABD50CEB-0D49-43CB-ADBE-596C5D34DE1EQ33652412-63D6ACE0-8983-4BF0-A0BE-D6B92AC4524AQ33691494-A4CA19A7-D3FA-46C6-AA71-69BB3E1A7BC7Q33839171-11483B8B-CAEE-438C-BFAC-4ED1C98FBDCBQ33879056-9D5C25F0-B4B0-4103-B62E-27220A708D48Q33909780-7BD5EACE-D384-4D23-B715-9DC431513C11Q33914188-F416CD4C-4C30-4A1C-9C00-72BC75E54ECCQ33969011-9921683E-8B2A-4A3C-A2CC-B43CC9CD90E2Q34035100-9C54414F-2E49-4F19-BDEE-EFB4F3C3C08FQ34156495-5F363B3D-70EB-4640-B6DE-F63F7288D601Q34227629-2028C73F-D179-45B8-B8B4-E6C2ACF0CB59Q34352981-8FB9E8EC-291A-4E0F-87A3-E703478BFDA5
P2860
Attrition in longitudinal studies. How to deal with missing data.
description
2002 nî lūn-bûn
@nan
2002 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Attrition in longitudinal studies. How to deal with missing data.
@ast
Attrition in longitudinal studies. How to deal with missing data.
@en
type
label
Attrition in longitudinal studies. How to deal with missing data.
@ast
Attrition in longitudinal studies. How to deal with missing data.
@en
prefLabel
Attrition in longitudinal studies. How to deal with missing data.
@ast
Attrition in longitudinal studies. How to deal with missing data.
@en
P1476
Attrition in longitudinal studies. How to deal with missing data.
@en
P2093
Wieke de Vente
P304
P356
10.1016/S0895-4356(01)00476-0
P577
2002-04-01T00:00:00Z