[HTML][HTML] Istore: a project on innovative statistical methodologies to improve rare diseases clinical trials in limited populations

S Schoenen, J Verbeeck, L Koletzko, I Brambilla… - Orphanet Journal of …, 2024 - Springer
Background The conduct of rare disease clinical trials is still hampered by methodological
problems. The number of patients suffering from a rare condition is variable, but may be very …

[HTML][HTML] Evaluating the impact of risk factors on birth weight and gestational age: a multilevel joint modeling approach

P Amini, A Moghimbeigi, F Zayeri… - … journal of fertility & …, 2018 - ncbi.nlm.nih.gov
Background Abnormalities in birth weight and gestational age cause several adverse
maternal and infant out-comes. Our study aims to determine the potential factors that affect …

[HTML][HTML] Correlations among the maternal healthcare services in Bangladesh: An application of joint modelling technique

KR Bhowmik, S Das, UR Saha, R Amin, MA Islam - Heliyon, 2023 - cell.com
Background Caesarean section (C-section) in Bangladesh have received great attention as
the number has been amplified during the last two decades. The question arises whether …

A latent variable model for analyzing mixed longitudinal (k,l)-inflated count and ordinal responses

F Razie, E Bahrami Samani… - Journal of Applied Statistics, 2016 - Taylor & Francis
ABSTRACT A random effects model for analyzing mixed longitudinal count and ordinal data
is presented where the count response is inflated in two points (k and l) and an (k, l)-Inflated …

Bayesian semiparametric joint modeling of a count outcome and inconveniently timed longitudinal predictors

W Lim, ML Pennell, MJ Naughton… - Statistical methods in …, 2023 - journals.sagepub.com
The Women's Health Initiative (WHI) Life and Longevity After Cancer (LILAC) study is an
excellent resource for studying the quality of life following breast cancer treatment. At study …

Hierarchical models with normal and conjugate random effects: a review

G Molenberghs, G Verbeke… - SORT: statistics and …, 2017 - ddd.uab.cat
Molenberghs, Verbeke, and Demétrio (2007) and Molenberghs et al.(2010) proposed a
general framework to model hierarchical data subject to within-unit correlation and/or …

Joint Analysis of Longitudinal Data and Zero-Inflated Recurrent Events

C Ma, K Crimin - Statistics in Biopharmaceutical Research, 2024 - Taylor & Francis
Longitudinal data together with recurrent events are commonly encountered in clinical trials.
In many applications, these two processes are highly correlated. When there exist a large …

A Bayesian joint model for continuous and zero-inflated count data in developmental toxicity studies

BS Hwang - Communications for Statistical Applications and …, 2022 - koreascience.kr
In many applications, we frequently encounter correlated multiple outcomes measured on
the same subject. Joint modeling of such multiple outcomes can improve efficiency of …

Joint Models for Longitudinal Zero-Inflated Overdispersed Binomial and Normal Responses

SS Azimi, EB Samani - Sankhya B, 2023 - Springer
In this paper, we propose joint random effects models for longitudinal mixed overdispersion
binomial and normal responses where the overdispersion binomial response is inflated in …

Bayesian joint modeling of patient-reported longitudinal data on frequency and duration of migraine

G İnan - Hacettepe Journal of Mathematics and Statistics, 2023 - dergipark.org.tr
In this methodological study, we address the joint modeling of longitudinal data on the
frequency and duration migraine attacks collected from patients in a clinical study in which …