Methods to account for attrition in longitudinal data: do they work? A simulation study.
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Combined oral contraceptives: venous thrombosisCombined oral contraceptives: venous thrombosisFeasibility, acceptability, and initial efficacy of a knowledge-contact program to reduce mental illness stigma and improve mental health literacy in adolescentsAssessing nonresponse bias at follow-up in a large prospective cohort of relatively young and mobile military service members.Maximizing Data Quality using Mode Switching in Mixed-Device Survey Design: Nonresponse Bias and Models of Demographic BehaviorMultiple imputation of discrete and continuous data by fully conditional specification.Exploratory Factor Analysis With Small Samples and Missing Data.Comparison of Different LGM-Based Methods with MAR and MNAR Dropout Data.Multiple imputation for estimation of an occurrence rate in cohorts with attrition and discrete follow-up time points: a simulation study.Generalised joint hypermobility and shoulder joint hypermobility, - risk of upper body musculoskeletal symptoms and reduced quality of life in the general population.Contingency management to reduce methamphetamine use and sexual risk among men who have sex with men: a randomized controlled trialProtocol for an economic evaluation alongside the University Health Network Whiplash Intervention Trial: cost-effectiveness of education and activation, a rehabilitation program, and the legislated standard of care for acute whiplash injury in OntarDoes the missing data imputation method affect the composition and performance of prognostic models?Attrition and generalizability in longitudinal studies: findings from a 15-year population-based study and a Monte Carlo simulation study.Loss to follow-up as a competing risk in an observational study of HIV-1 incidenceDoes attrition during follow-up of a population cohort study inevitably lead to biased estimates of health status?Influence of pattern of missing data on performance of imputation methods: an example using national data on drug injection in prisons.Bias in the study of prediction of change: a Monte Carlo simulation study of the effects of selective attrition and inappropriate modeling of regression toward the mean.In-utero exposure to dichlorodiphenyltrichloroethane and cognitive development among infants and school-aged children.Prenatal Cocaine Exposure and Cardiometabolic Disease Risk Factors in 18- to 20-Year-Old African Americans.Effect of Health Literacy on Research Follow-Up.Religion and Fertility in Western Europe: Trends Across Cohorts in Britain, France and the Netherlands.Minimizing attrition bias: a longitudinal study of depressive symptoms in an elderly cohort.Preventing Maltreatment with a Community-Based Implementation of Parent-Child Interaction Therapy.Maternal fish and shellfish consumption and wheeze, eczema and food allergy at age two: a prospective cohort study in Brittany, France.Assessing the Potential for Bias From Nonresponse to a Study Follow-up Interview: An Example From the Agricultural Health Study.Predictors of Recall Error in Self-Report of Age at Alcohol Use Onset.Non-participation in a field survey with respect to psychiatric disorders.Maximizing follow-up in longitudinal studies of traumatized populations.
P2860
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P2860
Methods to account for attrition in longitudinal data: do they work? A simulation study.
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2005 nî lūn-bûn
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2005 թուականի Յունուարին հրատարակուած գիտական յօդուած
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2005 թվականի հունվարին հրատարակված գիտական հոդված
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2005年の論文
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2005年論文
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2005年論文
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2005年論文
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2005年論文
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2005年論文
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2005年论文
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name
Methods to account for attrition in longitudinal data: do they work? A simulation study.
@ast
Methods to account for attrition in longitudinal data: do they work? A simulation study.
@en
type
label
Methods to account for attrition in longitudinal data: do they work? A simulation study.
@ast
Methods to account for attrition in longitudinal data: do they work? A simulation study.
@en
prefLabel
Methods to account for attrition in longitudinal data: do they work? A simulation study.
@ast
Methods to account for attrition in longitudinal data: do they work? A simulation study.
@en
P1476
Methods to account for attrition in longitudinal data: do they work? A simulation study.
@en
P2093
Michael Manno
P2860
P2888
P304
P356
10.1007/S10654-005-7919-7
P577
2005-01-01T00:00:00Z
P5875
P6179
1038798215