Browsing by Author "Li, Kan"
Now showing items 1-13 of 13
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A Bayesian approach for individual-level drug benefit-risk assessment.
(Statistics in medicine, 2019-07)In existing benefit-risk assessment (BRA) methods, benefit and risk criteria are usually identified and defined separately based on aggregated clinical data and therefore ignore the individual-level differences as well as ... -
A prognostic model of Alzheimer's disease relying on multiple longitudinal measures and time-to-event data.
(Alzheimer's & dementia : the journal of the Alzheimer's Association, 2018-05)INTRODUCTION:Characterizing progression in Alzheimer's disease is critically important for early detection and targeted treatment. The objective was to develop a prognostic model, based on multivariate longitudinal markers, ... -
Adjuvant Chemotherapy Versus Observation Following Resection for Patients With Nonmetastatic Poorly Differentiated Colorectal Neuroendocrine Carcinomas.
(Annals of surgery, 2019-08-30)OBJECTIVE:The aim of this study was to determine whether adjuvant chemotherapy (AC) provides a survival benefit in patients with nonmetastatic poorly differentiated colorectal neuroendocrine carcinomas (CRNECs) following ... -
Bayesian Functional Joint Models for Multivariate Longitudinal and Time-to-Event Data.
(Computational statistics & data analysis, 2019-01)A multivariate functional joint model framework is proposed which enables the repeatedly measured functional outcomes, scalar outcomes, and survival process to be modeled simultaneously while accounting for association among ... -
Bayesian inference and dynamic prediction of multivariate joint model with functional data: An application to Alzheimer's disease.
(Statistics in medicine, 2021-10-14)Alzheimer's disease (AD) is a severe neurodegenerative disorder impairing multiple domains, for example, cognition and behavior. Assessing the risk of AD progression and initiating timely interventions at early stages are ... -
Dynamic prediction of Alzheimer's disease progression using features of multiple longitudinal outcomes and time-to-event data.
(Statistics in medicine, 2019-10)This paper is motivated by combining serial neurocognitive assessments and other clinical variables for monitoring the progression of Alzheimer's disease (AD). We propose a novel framework for the use of multiple longitudinal ... -
Functional survival forests for multivariate longitudinal outcomes: Dynamic prediction of Alzheimer's disease progression.
(Statistical methods in medical research, 2020-07-29)The random survival forest (RSF) is a non-parametric alternative to the Cox proportional hazards model in modeling time-to-event data. In this article, we developed a modeling framework to incorporate multivariate longitudinal ... -
Impact of surgical approach on short- and long-term outcomes in gastroenteropancreatic neuroendocrine carcinomas.
(HPB : the official journal of the International Hepato Pancreato Biliary Association, 2023-06)<h4>Background</h4>Literature is lacking on the impact of advancements in minimally invasive surgery (MIS) on outcomes for patients with gastroenteropancreatic neuroendocrine carcinomas (GEP-NECs). Herein, we compared ... -
Outcomes of Lymph Node Dissection for Non-metastatic Pancreatic Neuroendocrine Tumors: A Propensity Score-Weighted Analysis of the National Cancer Database.
(Annals of surgical oncology, 2019-06-17)BACKGROUND:Although the National Comprehensive Cancer Network (NCCN) guidelines recommend use of lymph node dissection (LND) in patients with pancreatic neuroendocrine tumors (pNETs) > 2 cm, there is limited evidence to ... -
Periodic benefit-risk assessment using Bayesian stochastic multi-criteria acceptability analysis.
(Contemporary clinical trials, 2018-04)Benefit-risk (BR) assessment is essential to ensure the best decisions are made for a medical product in the clinical development process, regulatory marketing authorization, post-market surveillance, and coverage ... -
Predicting the Risk of Huntington's Disease with Multiple Longitudinal Biomarkers.
(Journal of Huntington's disease, 2019-06-22)BACKGROUND:Huntington's disease (HD) has gradually become a public health threat, and there is a growing interest in developing prognostic models to predict the time for HD diagnosis. OBJECTIVE:This study aims to develop ... -
Primary tumor resection improves survival of gastrointestinal neuroendocrine carcinoma patients with nonresected liver metastases.
(Journal of surgical oncology, 2023-02)<h4>Background</h4>The role of primary tumor resection (PTR) in the survival of gastrointestinal neuroendocrine carcinoma (GI-NEC) patients with liver metastases only remains poorly defined. Therefore, we investigated the ... -
Quantitative description of residual helical structure for λ-repressor N-terminal domain in the unfolded state
(2017)Proteins can form residual compactness in the unfolded state. Among different types of residual compactness, residual helical structure is an important type of local compactness that can propagate through the formation of ...
