ArticleStatistics in medicine2019
Estimating the association between blood pressure variability and cardiovascular disease: An application using the ARIC Study.
Article in Statistics in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- A Bayesian Location-Scale Joint Model for Time-To-Event and Multivariate Longitudinal Data With Association Based on Within-Individual Variability.Statistics in medicine · 2026Article
- Assessing the impact of variance heterogeneity and misspecification in mixed-effects location-scale models.BMC medical research methodology · 2026Article
- A Location-Scale Joint Model for Studying the Link Between the Time-Dependent Subject-Specific Variability of Blood Pressure and Competing Events.Statistics in medicine · 2025Article
- Bayesian inference for nonlinear mixed-effects location scale and interval-censoring cure-survival models: An application to pregnancy miscarriage.Statistical methods in medical research · 2025Article
- Bayesian shared parameter joint models for heterogeneous populations.Statistics and computing · 2025Article
- Mixed-Effects Location Scale Models for Joint Modeling School Value-Added Effects on the Mean and Variance of Student Achievement.Journal of educational and behavioral statistics : a quarterly publication sponsored by the American Educational Research Association and the American Statistical Association · 2024Article
- Demographic factors associated with within-individual variability of lung function for adults with cystic fibrosis: A UK registry study.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2024Article
- Modeling biomarker variability in joint analysis of longitudinal and time-to-event data.Biostatistics (Oxford, England) · 2024Article
- Modeling Risk Factors for Intraindividual Variability: A Mixed-Effects Beta-Binomial Model Applied to Cognitive Function in Older People in the English Longitudinal Study of Ageing.American journal of epidemiology · 2024Article
- GFR Variability, Survival, and Cardiovascular Events in Older Adults.Kidney medicine · 2023Article
- Incremental value of risk factor variability for cardiovascular risk prediction in individuals with type 2 diabetes: results from UK primary care electronic health records.International journal of epidemiology · 2022Article
- WiSER: Robust and scalable estimation and inference of within-subject variances from intensive longitudinal data.Biometrics · 2022Article
- GWAS of longitudinal trajectories at biobank scale.American journal of human genetics · 2022Article
- Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review.BMC medical research methodology · 2021Article
- Impact of Model Choice When Studying the Relationship Between Blood Pressure Variability and Risk of Stroke Recurrence.Hypertension (Dallas, Tex. : 1979) · 2021Article
- Age-Specific Associations of Usual Blood Pressure Variability With Cardiovascular Disease and Mortality: 10-Year Diabetes Mellitus Cohort Study.Journal of the American Heart Association · 2021Article
- Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study.Scientific reports · 2021Article
- Joint Modeling of Individual Trajectories, Within-Individual Variability, and a Later Outcome: Systolic Blood Pressure Through Childhood and Left Ventricular Mass in Early Adulthood.American journal of epidemiology · 2021Article
- Association between real-world home blood pressure measurement patterns and blood pressure variability among older individuals with hypertension: A community-based blood pressure variability study.Journal of clinical hypertension (Greenwich, Conn.) · 2021Article
- Systolic blood pressure and six-year mortality in South Africa: Evidence from a country-wide population-based cohort study.The lancet. Healthy longevity · 2021Article
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Authors and funding
5 authors.
Funding
Abstract
The association between visit-to-visit systolic blood pressure variability and cardiovascular events has recently received a lot of attention in the cardiovascular literature. But, blood pressure variability is usually estimated on a person-by-person basis and is therefore subject to considerable measurement error. We demonstrate that hazard ratios estimated using this approach are subject to bias due to regression dilution, and we propose alternative methods to reduce this bias: a two-stage method and a joint model. For the two-stage method, in stage one, repeated measurements are modelled using a mixed effects model with a random component on the residual standard deviation (SD). The mixed effects model is used to estimate the blood pressure SD for each individual, which, in stage two, is used as a covariate in a time-to-event model. For the joint model, the mixed effects submodel and time-to-event submodel are fitted simultaneously using shared random effects. We illustrate the methods using data from the Atherosclerosis Risk in Communities study.
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