Incorporating covariate information in the covariance structure of misaligned spatial data
Sign Up to like & getrecommendations! Published in 2020 at "Environmetrics"
DOI: 10.1002/env.2623
Abstract: Incorporating covariates in the second‐ structure of spatial processes is an effective way of building flexible nonstationary covariance models. Fitting these covariances requires covariates to already exist at locations where there is response data. However,… read more here.
Keywords: covariance structure; response data; structure; covariate ... See more keywords
Addressing subject heterogeneity in time‐dependent discrimination for biomarker evaluation
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.10024
Abstract: Accurate discrimination has been the central goal in identifying biomarkers for monitoring disease progression and early detection. Acknowledging the fact that discrimination accuracy of biomarkers for a time‐to‐event outcome often changes over time, local measures… read more here.
Keywords: time dependent; discrimination; covariate; time ... See more keywords
Covariate Balancing With Measurement Error
Sign Up to like & getrecommendations! Published in 2024 at "Statistics in Medicine"
DOI: 10.1002/sim.70300
Abstract: In recent years, there is a growing body of causal inference literature focusing on covariate balancing methods. These methods eliminate observed confounding by equalizing covariate moments between the treated and control groups. The validity of… read more here.
Keywords: measurement error; covariate balancing; covariate; error covariate ... See more keywords
Understanding the effects of conditional dependence in research studies involving imperfect diagnostic tests.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7148
Abstract: When two imperfect diagnostic tests are carried out on the same subject, their results may be correlated even after conditioning on the true disease status. While past work has focused on the consequences of ignoring… read more here.
Keywords: dependence; diagnostic tests; imperfect diagnostic; conditional dependence ... See more keywords
A covariate-specific time-dependent receiver operating characteristic curve for correlated survival data.
Sign Up to like & getrecommendations! Published in 2020 at "Statistics in medicine"
DOI: 10.1002/sim.8550
Abstract: Several studies for the clinical validity of circulating tumor cells (CTCs) in metastatic breast cancer were conducted showing that it is a prognostic biomarker of overall survival. In this work, we consider an individual patient… read more here.
Keywords: time dependent; specific time; curve; covariate ... See more keywords
Nonparametric regression with right‐censored covariate via conditional density function
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9343
Abstract: Censoring often occurs in data collection. This article, considers nonparametric regression when the covariate is censored under general settings. In contrast to censoring in the response variable in survival analysis, regression with censored covariates is… read more here.
Keywords: right censored; function; regression; nonparametric regression ... See more keywords
Bayesian analysis for partly linear Cox model with measurement error and time‐varying covariate effect
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9531
Abstract: The Cox proportional hazards model is commonly used to estimate the association between time‐to‐event and covariates. Under the proportional hazards assumption, covariate effects are assumed to be constant in the follow‐up period of study. When… read more here.
Keywords: time; effect; measurement error; error ... See more keywords
Calculating the power to examine treatment‐covariate interactions when planning an individual participant data meta‐analysis of randomized trials with a binary outcome
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9538
Abstract: Before embarking on an individual participant data meta‐analysis (IPDMA) project, researchers and funders need assurance it is worth their time and cost. This should include consideration of how many studies are promising their IPD and,… read more here.
Keywords: participant data; individual participant; power; data meta ... See more keywords
A multiple imputation‐based sensitivity analysis approach for regression analysis with a missing not at random covariate
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9723
Abstract: Missing covariate problems are common in biomedical and electrical medical record data studies while evaluating the relationship between a biomarker and certain clinical outcome, when biomarker data are not collected for all subjects. However, missingness… read more here.
Keywords: sensitivity; sensitivity analysis; analysis; analysis approach ... See more keywords
The mean residual life model for the right-censored data in the presence of covariate measurement errors.
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in medicine"
DOI: 10.1002/sim.9736
Abstract: In this article, we consider the mean residual life regression model in the presence of covariate measurement errors. In the whole cohort, the surrogate variable of the error-prone covariate is available for each subject, while… read more here.
Keywords: covariate; mean residual; measurement errors; cohort ... See more keywords
Information-theoretic evaluation of covariate distributions models
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Pharmacokinetics and Pharmacodynamics"
DOI: 10.1007/s10928-025-09968-5
Abstract: Statistical modelling of covariate distributions allows to generate virtual populations or to impute missing values in a covariate dataset. Covariate distributions typically have non-Gaussian margins and show nonlinear correlation structures, which simple descriptions like multivariate… read more here.
Keywords: covariate; divergence; information theoretic; non gaussian ... See more keywords