Between- and within-cluster covariate effects in the analysis of clustered data.
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Association between carbohydrate intake and serum lipidsEffects of ambient air pollution on symptoms of asthma in Seattle-area children enrolled in the CAMP studyEssential amino acid supplementation in patients following total knee arthroplastyAdjusting for confounding by neighborhood using generalized linear mixed models and complex survey data.Conditional pseudolikelihood methods for clustered ordinal, multinomial, or count outcomes with complex survey data.An empirical comparison of several clustered data approaches under confounding due to cluster effects in the analysis of complications of coronary angioplasty.Matched survival data in a co-twin control design.Analysis of clustered and longitudinal binary data subject to response misclassification.Fast and accurate modelling of longitudinal and repeated measures neuroimaging data.Review of methods for handling confounding by cluster and informative cluster size in clustered dataRandom-effects, fixed-effects and the within-between specification for clustered data in observational health studies: a simulation studyThe diagnostic accuracy of the Patient Health Questionnaire-2 (PHQ-2), Patient Health Questionnaire-8 (PHQ-8), and Patient Health Questionnaire-9 (PHQ-9) for detecting major depression: protocol for a systematic review and individual patient data meBayesian mixed-effects location and scale models for multivariate longitudinal outcomes: an application to ecological momentary assessment dataDeviations from the population-averaged versus cluster-specific relationship for clustered binary data.Model-based standardization to adjust for unmeasured cluster-level confounders with complex survey data.COVARIATE DECOMPOSITION METHODS FOR LONGITUDINAL MISSING-AT-RANDOM DATA AND PREDICTORS ASSOCIATED WITH SUBJECT-SPECIFIC EFFECTS.Meta-analysis of a continuous outcome combining individual patient data and aggregate data: a method based on simulated individual patient data.Network meta-analysis of individual and aggregate level data.Diagnostic accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for detecting major depression in pregnant and postnatal women: protocol for a systematic review and individual patient data meta-analyses.Multilevel SEM Strategies for Evaluating Mediation in Three-Level Data.A guide for multilevel modeling of dyadic data with binary outcomes using SAS PROC NLMIXEDUsing bivariate models to understand between- and within-cluster regression coefficients, with application to twin data.Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses.An application of a mixed-effects location scale model for analysis of Ecological Momentary Assessment (EMA) data.One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial informationOn outcome-dependent sampling designs for longitudinal binary response data with time-varying covariates.Conditional generalized estimating equations for the analysis of clustered and longitudinal data.Ecological momentary assessment of environmental and personal factors and snack food intake in African American women.Physician support for diabetes patients and clinical outcomesLongitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research AimsA mixed ordinal location scale model for analysis of Ecological Momentary Assessment (EMA) data.The Associations Between Retirement and Cardiovascular Disease Risk Factors in China: A 20-Year Prospective Study.Are comparisons of consumer satisfaction with providers biased by nonresponse or case-mix differences?Adolescent drinking and motivated decision-making: a cotwin-control investigation with monozygotic twins.The impact of training and working conditions on junior doctors' intention to leave clinical practice.Adjusting for confounding by neighborhood using complex survey data.Evaluation of computer-aided detection and diagnosis systems.Association between dietary carbohydrates and body weightOutcome-dependent sampling for longitudinal binary response data based on a time-varying auxiliary variable.Sleep measures predict next-day symptoms in women with irritable bowel syndrome
P2860
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P2860
Between- and within-cluster covariate effects in the analysis of clustered data.
description
1998 nî lūn-bûn
@nan
1998 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
1998 թվականի հունիսին հրատարակված գիտական հոդված
@hy
1998年の論文
@ja
1998年論文
@yue
1998年論文
@zh-hant
1998年論文
@zh-hk
1998年論文
@zh-mo
1998年論文
@zh-tw
1998年论文
@wuu
name
Between- and within-cluster covariate effects in the analysis of clustered data.
@ast
Between- and within-cluster covariate effects in the analysis of clustered data.
@en
type
label
Between- and within-cluster covariate effects in the analysis of clustered data.
@ast
Between- and within-cluster covariate effects in the analysis of clustered data.
@en
prefLabel
Between- and within-cluster covariate effects in the analysis of clustered data.
@ast
Between- and within-cluster covariate effects in the analysis of clustered data.
@en
P356
P1433
P1476
Between- and within-cluster covariate effects in the analysis of clustered data.
@en
P2093
Kalbfleisch JD
Neuhaus JM
P304
P356
10.2307/3109770
P407
P577
1998-06-01T00:00:00Z