Tardivon, Coralie Desmée, Solène Kerioui, Marion Bruno, René Wu, Benjamin Mentré, France Mercier, François Guedj, Jérémie
Published in
Clinical pharmacology and therapeutics
We characterized the association between tumor size kinetics and survival in patients with advanced urothelial carcinoma treated with atezolizumab (anti-programmed death-ligand 1, Tecentriq) using a joint model. The model, developed on data from 309 patients of a phase II clinical trial, identified the time-to-tumor growth and the instantaneous cha...
Shen, Weining Liu, Suyu Chen, Yong Ning, Jing
Published in
Scandinavian journal of statistics, theory and applications
We consider regression analysis of longitudinal data in the presence of outcome-dependent observation times and informative censoring. Existing approaches commonly require correct specification of the joint distribution of the longitudinal measurements, observation time process and informative censoring time under the joint modeling framework, and ...
Zhou, Jie Zhang, Jiajia Mclain, Alexander C Lu, Wenbin Sui, Xuemei Hardin, James W
Published in
Biometrics
Varying-coefficient models have become a common tool to determine whether and how the association between an exposure and an outcome changes over a continuous measure. These models are complicated when the exposure itself is time-varying and subjected to measurement error. For example, it is well known that longitudinal physical fitness has an impa...
Sengupta, Rudradev; Perualila, Nolen Joy; Shkedy, Ziv; Biecek, Przemyslaw; Molenberghs, Geert; 56633; Bijnens, Luc;
Identification of genomic biomarkers is an important area of research in the context of drug discovery experiments. These experiments typically consist of several high dimensional datasets that contain information about a set of drugs (compounds) under development. This type of data structure introduces the challenge of multi-source data integratio...
Murphy, Terrence E. McAvay, Gail J. Agogo, George O. Allore, Heather G.
Published in
Annals of epidemiology
Purpose: We define personalized concurrent risk (PCR) as the subject-specific probability of an index outcome within a defined interval of time, while currently at risk for a separate outcome, where the outcomes are not mutually exclusive and can be jointly modeled with a shared random-intercept. We further define typical concurrent risk (TCR) as t...
Xi, Dexen D.Z. Taylor, Stephen W. Woolford, Douglas G. Dean, C.B.
Published in
Annual review of statistics and its application
Fire danger systems have evolved from qualitative indices, to process-driven deterministic models of fire behavior and growth, to data-driven stochastic models of fire occurrence and simulation systems. However, there has often been little overlap or connectivity in these frameworks, and validation has not been common in deterministic models. Yet, ...
Papageorgiou, Grigorios Mauff, Katya Tomer, Anirudh Rizopoulos, Dimitris
Published in
Annual review of statistics and its application
In this review, we present an overview of joint models for longitudinal and time-to-event data. We introduce a generalized formulation for the joint model that incorporates multiple longitudinal outcomes of varying types. We focus on extensions for the parametrization of the association structure that links the longitudinal and time-to-event outcom...
Vahabi, Nasim Kazemnejad, Anoshirvan Datta, Somnath
Published in
Statistical methods in medical research
Disease severity is a latent concept which should be observed using a measurement tool; it can be useful in assessing disease status both cross-sectionally and longitudinally. Medsger scale is a valid instrument for assessing the systemic sclerosis severity in which the items are categorized from 0 (normal) to 4 (endstage) for each organ system. We...
Du, Yu Yin, Jun Sargent, Daniel J Mandrekar, Sumithra J
Published in
Journal of biopharmaceutical statistics
Phase I designs traditionally use the dose-limiting toxicity (DLT), a binary endpoint from the first treatment cycle, to identify the maximum-tolerated dose (MTD) assuming a monotonically increasing relationship between dose and efficacy. In this article, we establish a general framework for a multi-stage adaptive design where we jointly model a co...
Song, Xiao Wang, Li Ma, Shuangge Huang, Hanwen
Published in
Journal of nonparametric statistics
In survival analysis, we may encounter the following three problems: nonlinear covariate effect, variable selection and measurement error. Existing studies only address one or two of these problems. The goal of this study is to fill the knowledge gap and develop a novel approach to simultaneously address all three problems. Specifically, a partiall...
