Multivariate multilevel spline models for parallel growth processes: application to weight and mean arterial pressure in pregnancy

C Macdonald‐Wallis, DA Lawlor, T Palmer… - Statistics in …, 2012 - Wiley Online Library
Growth models are commonly used in life course epidemiology to describe growth
trajectories and their determinants or to relate particular patterns of change to later health …

Statistical inference for competing risks model under progressive interval censored Weibull data

F Azizi, F Haghighi, N Tabibi Gilani - Communications in Statistics …, 2020 - Taylor & Francis
In this paper, we discussed the estimation problem for the competing risks model when the
data are progressive interval censored and follow Weibull distribution with an unknown …

Bayesian second-order sensitivity of longitudinal inferences to non-ignorability: an application to antidepressant clinical trial data

E Momeni Roochi… - The International Journal of …, 2023 - degruyter.com
Incomplete data is a prevalent complication in longitudinal studies due to individuals' drop-
out before intended completion time. Currently available methods via commercial software …

Bayesian second-order sensitivity of longitudinal inferences to non-ignorability: an application to antidepressant clinical trial data

EM Roochi, SE Mahabadi - The International Journal of Biostatistics, 2023 - degruyter.com
Incomplete data is a prevalent complication in longitudinal studies due to individuals' drop-
out before intended completion time. Currently available methods via commercial software …

Modeling of correlated cognitive function and functional disability outcomes with bounded and missing data in a longitudinal aging study

GO Agogo, H Mwambi, X Shi, Z Liu - Behavior Research Methods, 2022 - Springer
Longitudinal studies of correlated cognitive and disability outcomes among older adults are
characterized by missing data due to death or loss to follow-up from deteriorating health …

A Bayesian approach for sensitivity analysis of incomplete multivariate longitudinal data with potential nonrandom dropout

SE Mahabadi, M Ganjali - Metron, 2015 - Springer
Experiments involving repeated observations of multivariate outcomes are common in
biomedical and public health researches which lead to multivariate longitudinal data. These …

Second‐order local sensitivity to non‐ignorability in Bayesian inferences

S Eftekhari Mahabadi - Statistics in Medicine, 2018 - Wiley Online Library
The sensitivity of Bayesian inferences to non‐ignorability is an important issue which should
be carefully handled when analyzing incomplete data sets. Generally, sensitivity analysis …

An index of local sensitivity to non-ignorability for parametric survival models with potential non-random missing covariate: an application to the SEER cancer registry …

SE Mahabadi, M Ganjali - Journal of Applied Statistics, 2012 - Taylor & Francis
Several survival regression models have been developed to assess the effects of covariates
on failure times. In various settings, including surveys, clinical trials and epidemiological …

Advantages of joint modeling of component HIV risk behaviors and non-response: application to randomized trials in cocaine-dependent and methamphetamine …

TH Holmes, AL Anderson, SH Li… - Frontiers in Psychiatry, 2011 - frontiersin.org
The HIV risk-taking behavior scale (HRBS) is an 11-item instrument designed to assess the
risks of HIV infection due to self-reported injection-drug use and sexual behavior. A …

Design and analysis of quality of life data

AB Troxel, CM Moinpour - Handbook of Statistics in Clinical …, 2005 - taylorfrancis.com
References.............................................................................................................. 263The objective
of this chapter is to inform those engaged in clinical trials research about the special …