Chuan Hong

Journal Article Brain Inj · November 9, 2024 The purpose of this study was to develop and validate an algorithm for identifying Veterans with a history of traumatic brain injury (TBI) in the Veterans Affairs (VA) electronic health record using VA Million Veteran Program (MVP) data. Manual chart revie ... Full text Link to item Cite

Ascle-A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study.

Journal Article J Med Internet Res · October 3, 2024 BACKGROUND: Medical texts present significant domain-specific challenges, and manually curating these texts is a time-consuming and labor-intensive process. To address this, natural language processing (NLP) algorithms have been developed to automate text ... Full text Link to item Cite

Clinical domain knowledge-derived template improves post hoc AI explanations in pneumothorax classification.

Journal Article J Biomed Inform · August 2024 OBJECTIVE: Pneumothorax is an acute thoracic disease caused by abnormal air collection between the lungs and chest wall. Recently, artificial intelligence (AI), especially deep learning (DL), has been increasingly employed for automating the diagnostic pro ... Full text Link to item Cite

Heterogeneous associations between interleukin-6 receptor variants and phenotypes across ancestries and implications for therapy.

Journal Article Sci Rep · April 5, 2024 The Phenome-Wide Association Study (PheWAS) is increasingly used to broadly screen for potential treatment effects, e.g., IL6R variant as a proxy for IL6R antagonists. This approach offers an opportunity to address the limited power in clinical trials to s ... Full text Link to item Cite

Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study.

Journal Article PLOS Digit Health · April 2024 Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) involvement. Usin ... Full text Link to item Cite

Semi-supervised ROC analysis for reliable and streamlined evaluation of phenotyping algorithms.

Journal Article J Am Med Inform Assoc · February 16, 2024 OBJECTIVE: High-throughput phenotyping will accelerate the use of electronic health records (EHRs) for translational research. A critical roadblock is the extensive medical supervision required for phenotyping algorithm (PA) estimation and evaluation. To a ... Full text Link to item Cite

LATTE: Label-efficient incident phenotyping from longitudinal electronic health records.

Journal Article Patterns (N Y) · January 12, 2024 Electronic health record (EHR) data are increasingly used to support real-world evidence studies but are limited by the lack of precise timings of clinical events. Here, we propose a label-efficient incident phenotyping (LATTE) algorithm to accurately anno ... Full text Link to item Cite

Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance.

Journal Article J Biomed Inform · January 2024 INTRODUCTION: Risk prediction, including early disease detection, prevention, and intervention, is essential to precision medicine. However, systematic bias in risk estimation caused by heterogeneity across different demographic groups can lead to inapprop ... Full text Link to item Cite

Federated and distributed learning applications for electronic health records and structured medical data: a scoping review.

Journal Article J Am Med Inform Assoc · November 17, 2023 OBJECTIVES: Federated learning (FL) has gained popularity in clinical research in recent years to facilitate privacy-preserving collaboration. Structured data, one of the most prevalent forms of clinical data, has experienced significant growth in volume c ... Full text Link to item Cite

Facilitating Harmonization of Variables in Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository.

Journal Article Circ Cardiovasc Qual Outcomes · November 2023 BACKGROUND: High-quality research in cardiovascular prevention, as in other fields, requires inclusion of a broad range of data sets from different sources. Integrating and harmonizing different data sources are essential to increase generalizability, samp ... Full text Link to item Cite

FedScore: A privacy-preserving framework for federated scoring system development.

Journal Article J Biomed Inform · October 2023 OBJECTIVE: We propose FedScore, a privacy-preserving federated learning framework for scoring system generation across multiple sites to facilitate cross-institutional collaborations. MATERIALS AND METHODS: The FedScore framework includes five modules: fed ... Full text Link to item Cite

Semi-supervised calibration of noisy event risk (SCANER) with electronic health records.

Journal Article J Biomed Inform · August 2023 OBJECTIVE: Electronic health records (EHR), containing detailed longitudinal clinical information on a large number of patients and covering broad patient populations, open opportunities for comprehensive predictive modeling of disease progression and trea ... Full text Link to item Cite

Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores.

Journal Article EBioMedicine · June 2023 BACKGROUND: Rheumatoid arthritis (RA) shares genetic variants with other autoimmune conditions, but existing studies test the association between RA variants with a pre-defined set of phenotypes. The objective of this study was to perform a large-scale, sy ... Full text Link to item Cite

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies.

Journal Article J Med Internet Res · May 25, 2023 Although randomized controlled trials (RCTs) are the gold standard for establishing the efficacy and safety of a medical treatment, real-world evidence (RWE) generated from real-world data has been vital in postapproval monitoring and is being promoted for ... Full text Link to item Cite

Association Between Inflammation, Incident Heart Failure, and Heart Failure Subtypes in Patients With Rheumatoid Arthritis.

Journal Article Arthritis Care Res (Hoboken) · May 2023 OBJECTIVE: In rheumatoid arthritis (RA), there are limited data on risk factors for the clinical heart failure (HF) subtypes of HF with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF). This study examined the association b ... Full text Link to item Cite

Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

Journal Article J Biomed Inform · March 2023 BACKGROUND: In electronic health records, patterns of missing laboratory test results could capture patients' course of disease as well as reflect clinician's concerns or worries for possible conditions. These patterns are often understudied and overlook ... Full text Link to item Cite

Multimodal representation learning for predicting molecule-disease relations.

Journal Article Bioinformatics · February 3, 2023 MOTIVATION: Predicting molecule-disease indications and side effects is important for drug development and pharmacovigilance. Comprehensively mining molecule-molecule, molecule-disease and disease-disease semantic dependencies can potentially improve predi ... Full text Link to item Cite

Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study.

Journal Article EClinicalMedicine · January 2023 BACKGROUND: While acute kidney injury (AKI) is a common complication in COVID-19, data on post-AKI kidney function recovery and the clinical factors associated with poor kidney function recovery is lacking. METHODS: A retrospective multi-centre observation ... Full text Link to item Cite

Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups.

Journal Article JAMA · January 2023 ImportanceStroke is the fifth-highest cause of death in the US and a leading cause of serious long-term disability with particularly high risk in Black individuals. Quality risk prediction algorithms, free of bias, are key for comprehensive preven ... Full text Cite

A semi-supervised adaptive Markov Gaussian embedding process (SAMGEP) for prediction of phenotype event times using the electronic health record.

Journal Article Sci Rep · October 22, 2022 While there exist numerous methods to identify binary phenotypes (i.e. COPD) using electronic health record (EHR) data, few exist to ascertain the timings of phenotype events (i.e. COPD onset or exacerbations). Estimating event times could enable more powe ... Full text Link to item Cite

Weakly Semi-supervised phenotyping using Electronic Health records.

Journal Article J Biomed Inform · October 2022 OBJECTIVE: Electronic Health Record (EHR) based phenotyping is a crucial yet challenging problem in the biomedical field. Though clinicians typically determine patient-level diagnoses via manual chart review, the sheer volume and heterogeneity of EHR data ... Full text Link to item Cite

SurvMaximin: Robust federated approach to transporting survival risk prediction models

Journal Article Journal of Biomedical Informatics · October 1, 2022 Objective: For multi-center heterogeneous Real-World Data (RWD) with time-to-event outcomes and high-dimensional features, we propose the SurvMaximin algorithm to estimate Cox model feature coefficients for a target population by borrowing summary informat ... Full text Cite

Aldehyde dehydrogenase 2 rs671 polymorphism and multiple diseases: protocol for a quantitative umbrella review of meta-analyses.

Journal Article Syst Rev · September 2, 2022 BACKGROUND: The mutant allele (*2) of aldehyde dehydrogenase type 2 (ALDH2) caused by a single nucleotide variant (rs671) inhibits enzymatic activity and is associated with multiple diseases. In recent years, an explosive number of original studies and met ... Full text Link to item Cite

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonization.

Journal Article J Biomed Inform · September 2022 OBJECTIVE: The growing availability of electronic health records (EHR) data opens opportunities for integrative analysis of multi-institutional EHR to produce generalizable knowledge. A key barrier to such integrative analyses is the lack of semantic inter ... Full text Link to item Cite

Accounting for publication bias using a bivariate trim and fill meta-analysis procedure.

Journal Article Stat Med · August 15, 2022 In research synthesis, publication bias (PB) refers to the phenomenon that the publication of a study is associated with the direction and statistical significance of its results. Consequently, it may lead to biased (commonly optimistic) estimates of treat ... Full text Link to item Cite

Scalable relevance ranking algorithm via semantic similarity assessment improves efficiency of medical chart review.

Journal Article J Biomed Inform · August 2022 OBJECTIVE: Accurately assigning phenotype information to individual patients via computational phenotyping using Electronic Health Records (EHRs) has been seen as the first step towards enabling EHRs for precision medicine research. Chart review labels ann ... Full text Link to item Cite

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.

Journal Article NPJ Digit Med · June 29, 2022 The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well characterized in multi-national settings with appropriate controls. We leveraged electronic health record (EHR) data from 277 international hospitals representing 414,602 patien ... Full text Link to item Cite

Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2.

Journal Article BMJ Open · June 23, 2022 OBJECTIVE: To assess changes in international mortality rates and laboratory recovery rates during hospitalisation for patients hospitalised with SARS-CoV-2 between the first wave (1 March to 30 June 2020) and the second wave (1 July 2020 to 31 January 202 ... Full text Link to item Cite

International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality.

Journal Article NPJ Digit Med · June 13, 2022 Given the growing number of prediction algorithms developed to predict COVID-19 mortality, we evaluated the transportability of a mortality prediction algorithm using a multi-national network of healthcare systems. We predicted COVID-19 mortality using bas ... Full text Link to item Cite

A divide-and-conquer method for sparse risk prediction and evaluation.

Journal Article Biostatistics · April 13, 2022 Divide-and-conquer (DAC) is a commonly used strategy to overcome the challenges of extraordinarily large data, by first breaking the dataset into series of data blocks, then combining results from individual data blocks to obtain a final estimation. Variou ... Full text Link to item Cite

Binary acronym disambiguation in clinical notes from electronic health records with an application in computational phenotyping.

Journal Article Int J Med Inform · April 1, 2022 OBJECTIVE: The use of electronic health records (EHR) systems has grown over the past decade, and with it, the need to extract information from unstructured clinical narratives. Clinical notes, however, frequently contain acronyms with several potential se ... Full text Link to item Cite

Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record data

Journal Article npj Digital Medicine · December 1, 2021 The increasing availability of electronic health record (EHR) systems has created enormous potential for translational research. However, it is difficult to know all the relevant codes related to a phenotype due to the large number of codes available. Trad ... Full text Cite

Erratum: International changes in COVID-19 clinical trajectories across 315 hospitals and 6 countries: Retrospective cohort study (Journal of Medical Internet Research (2021) 23:10 (e31400) DOI: 10.2196/31400)

Journal Article Journal of Medical Internet Research · November 1, 2021 In “International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study” (J Med Internet Res 2021 Oct 11;23(10):e31400), two errors were noted. In the originally published paper, equal contribution of th ... Full text Cite

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19.

Journal Article Sci Rep · October 12, 2021 Neurological complications worsen outcomes in COVID-19. To define the prevalence of neurological conditions among hospitalized patients with a positive SARS-CoV-2 reverse transcription polymerase chain reaction test in geographically diverse multinational ... Full text Link to item Cite

International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study.

Journal Article J Med Internet Res · October 11, 2021 BACKGROUND: Many countries have experienced 2 predominant waves of COVID-19-related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, ... Full text Link to item Cite

Evolving phenotypes of non-hospitalized patients that indicate long COVID.

Journal Article BMC Med · September 27, 2021 BACKGROUND: For some SARS-CoV-2 survivors, recovery from the acute phase of the infection has been grueling with lingering effects. Many of the symptoms characterized as the post-acute sequelae of COVID-19 (PASC) could have multiple causes or are similarly ... Full text Link to item Cite

Improving the Efficiency of Clinical Trial Recruitment Using an Ensemble Machine Learning to Assist With Eligibility Screening

Journal Article ACR Open Rheumatology · September 1, 2021 Objective: Efficiently identifying eligible patients is a crucial first step for a successful clinical trial. The objective of this study was to test whether an approach using electronic health record (EHR) data and an ensemble machine learning algorithm i ... Full text Cite

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data.

Journal Article J Am Med Inform Assoc · July 14, 2021 OBJECTIVE: The Consortium for Clinical Characterization of COVID-19 by EHR (4CE) is an international collaboration addressing coronavirus disease 2019 (COVID-19) with federated analyses of electronic health record (EHR) data. We sought to develop and valid ... Full text Link to item Cite

Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Identify and Estimate Survival in a Longitudinal Cohort of Patients With Lung Cancer.

Journal Article JAMA Netw Open · July 1, 2021 IMPORTANCE: Electronic health records (EHRs) provide a low-cost means of accessing detailed longitudinal clinical data for large populations. A lung cancer cohort assembled from EHR data would be a powerful platform for clinical outcome studies. OBJECTIVE: ... Full text Link to item Cite

International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries.

Journal Article JAMA Netw Open · June 1, 2021 IMPORTANCE: Additional sources of pediatric epidemiological and clinical data are needed to efficiently study COVID-19 in children and youth and inform infection prevention and clinical treatment of pediatric patients. OBJECTIVE: To describe international ... Full text Link to item Cite

A fast divide-and-conquer sparse Cox regression.

Journal Article Biostatistics · April 10, 2021 We propose a computationally and statistically efficient divide-and-conquer (DAC) algorithm to fit sparse Cox regression to massive datasets where the sample size $n_0$ is exceedingly large and the covariate dimension $p$ is not small but $n_0\gg p$. The p ... Full text Link to item Cite

What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask.

Journal Article J Med Internet Res · March 2, 2021 Coincident with the tsunami of COVID-19-related publications, there has been a surge of studies using real-world data, including those obtained from the electronic health record (EHR). Unfortunately, several of these high-profile publications were retracte ... Full text Link to item Cite

Classifying Pseudogout Using Machine Learning Approaches With Electronic Health Record Data.

Journal Article Arthritis Care Res (Hoboken) · March 2021 OBJECTIVE: Identifying pseudogout in large data sets is difficult due to its episodic nature and a lack of billing codes specific to this acute subtype of calcium pyrophosphate (CPP) deposition disease. The objective of this study was to evaluate a novel m ... Full text Link to item Cite

Impact of ICD10 and secular changes on electronic medical record rheumatoid arthritis algorithms.

Journal Article Rheumatology (Oxford) · December 1, 2020 OBJECTIVE: The objective of this study was to compare the performance of an RA algorithm developed and trained in 2010 utilizing natural language processing and machine learning, using updated data containing ICD10, new RA treatments, and a new electronic ... Full text Link to item Cite

Testing small study effects in multivariate meta-analysis.

Journal Article Biometrics · December 2020 Small study effects occur when smaller studies show different, often larger, treatment effects than large ones, which may threaten the validity of systematic reviews and meta-analyses. The most well-known reasons for small study effects include publication ... Full text Link to item Cite

sureLDA: A multidisease automated phenotyping method for the electronic health record.

Journal Article J Am Med Inform Assoc · August 1, 2020 OBJECTIVE: A major bottleneck hindering utilization of electronic health record data for translational research is the lack of precise phenotype labels. Chart review as well as rule-based and supervised phenotyping approaches require laborious expert input ... Full text Link to item Cite

The Galaxy Plot: A New Visualization Tool for Bivariate Meta-Analysis Studies.

Journal Article Am J Epidemiol · August 1, 2020 Funnel plots have been widely used to detect small-study effects in the results of univariate meta-analyses. However, there is no existing visualization tool that is the counterpart of the funnel plot in the multivariate setting. We propose a new visualiza ... Full text Link to item Cite

Automated ICD coding via unsupervised knowledge integration (UNITE).

Journal Article Int J Med Inform · July 2020 OBJECTIVE: Accurate coding is critical for medical billing and electronic medical record (EMR)-based research. Recent research has been focused on developing supervised methods to automatically assign International Classification of Diseases (ICD) codes fr ... Full text Link to item Cite

Incorporating natural language processing to improve classification of axial spondyloarthritis using electronic health records.

Journal Article Rheumatology (Oxford) · May 1, 2020 OBJECTIVES: To develop classification algorithms that accurately identify axial SpA (axSpA) patients in electronic health records, and compare the performance of algorithms incorporating free-text data against approaches using only International Classifica ... Full text Link to item Cite

Exact inference for the random-effect model for meta-analyses with rare events.

Journal Article Stat Med · February 10, 2020 Meta-analysis allows for the aggregation of results from multiple studies to improve statistical inference for the parameter of interest. In recent years, random-effect meta-analysis has been employed to synthesize estimates of incidence rates of adverse e ... Full text Link to item Cite

Home environmental and lifestyle factors associated with asthma, rhinitis and wheeze in children in Beijing, China.

Journal Article Environ Pollut · January 2020 BACKGROUND: The prevalence of asthma and allergic diseases has increased rapidly in urban China since 2000. There has been limited study of associations between home environmental and lifestyle factors with asthma and symptoms of allergic disease in China. ... Full text Link to item Cite

High-throughput phenotyping with electronic medical record data using a common semi-supervised approach (PheCAP).

Journal Article Nat Protoc · December 2019 Phenotypes are the foundation for clinical and genetic studies of disease risk and outcomes. The growth of biobanks linked to electronic medical record (EMR) data has both facilitated and increased the demand for efficient, accurate, and robust approaches ... Full text Link to item Cite

High-throughput multimodal automated phenotyping (MAP) with application to PheWAS.

Journal Article J Am Med Inform Assoc · November 1, 2019 OBJECTIVE: Electronic health records linked with biorepositories are a powerful platform for translational studies. A major bottleneck exists in the ability to phenotype patients accurately and efficiently. The objective of this study was to develop an aut ... Full text Link to item Cite

Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms.

Journal Article Semin Arthritis Rheum · August 2019 OBJECTIVE: To utilize electronic health records (EHRs) to study SLE, algorithms are needed to accurately identify these patients. We used machine learning to generate data-driven SLE EHR algorithms and assessed performance of existing rule-based algorithms ... Full text Link to item Cite

Semi-supervised validation of multiple surrogate outcomes with application to electronic medical records phenotyping.

Journal Article Biometrics · March 2019 The Electronic Medical Records (EMR) data linked with genomic data have facilitated efficient and large scale translational studies. One major challenge in using EMR for translational research is the difficulty in accurately and efficiently annotating dise ... Full text Link to item Cite

PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies.

Journal Article J Am Med Inform Assoc · October 1, 2018 OBJECTIVE: Standard approaches for large scale phenotypic screens using electronic health record (EHR) data apply thresholds, such as ≥2 diagnosis codes, to define subjects as having a phenotype. However, the variation in the accuracy of diagnosis codes ca ... Full text Link to item Cite

Association of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy: A Phenome-Wide Association Study.

Journal Article JAMA Cardiol · September 1, 2018 IMPORTANCE: Electronic health record (EHR) biobanks containing clinical and genomic data on large numbers of individuals have great potential to inform drug discovery. Individuals with interleukin 6 receptor (IL6R) single-nucleotide polymorphisms (SNPs) wh ... Full text Link to item Cite

Empirical Comparison of Publication Bias Tests in Meta-Analysis.

Journal Article J Gen Intern Med · August 2018 BACKGROUND: Decision makers rely on meta-analytic estimates to trade off benefits and harms. Publication bias impairs the validity and generalizability of such estimates. The performance of various statistical tests for publication bias has been largely co ... Full text Link to item Cite

An improved method for bivariate meta-analysis when within-study correlations are unknown.

Journal Article Res Synth Methods · March 2018 Multivariate meta-analysis, which jointly analyzes multiple and possibly correlated outcomes in a single analysis, is becoming increasingly popular in recent years. An attractive feature of the multivariate meta-analysis is its ability to account for the d ... Full text Link to item Cite

Nonparametric estimation of median survival times with applications to multi-site or multi-center studies.

Journal Article PLoS One · 2018 We propose a nonparametric shrinkage estimator for the median survival times from several independent samples of right-censored data, which combines the samples and hypothesis information to improve the efficiency. We compare efficiency of the proposed shr ... Full text Link to item Cite

PLEMT: A Novel Pseudolikelihood-Based EM Test for Homogeneity in Generalized Exponential Tilt Mixture Models

Journal Article Journal of the American Statistical Association · October 2, 2017 Motivated by analyses of DNA methylation data, we propose a semiparametric mixture model, namely, the generalized exponential tilt mixture model, to account for heterogeneity between differentially methylated and nondifferentially methylated subjects in th ... Full text Cite

Estimating the ratio of multivariate recurrent event rates with application to a blood transfusion study.

Journal Article Stat Methods Med Res · August 2017 In comparative effectiveness studies of multicomponent, sequential interventions like blood product transfusion (plasma, platelets, red blood cells) for trauma and critical care patients, the timing and dynamics of treatment relative to the fragility of a ... Full text Link to item Cite

Estimating treatment effects in observational studies with both prevalent and incident cohorts

Journal Article Canadian Journal of Statistics · June 1, 2017 Registry databases are increasingly being used for comparative effectiveness research in cancer. Such databases reflect the real-world patient population and physician practice, and thus are natural sources for comparing multiple treatment scenarios and th ... Full text Cite

A semiparametric model for vQTL mapping.

Journal Article Biometrics · June 2017 Quantitative trait locus analysis has been used as an important tool to identify markers where the phenotype or quantitative trait is linked with the genotype. Most existing tests for single locus association with quantitative traits aim at the detection o ... Full text Link to item Cite

Recurrent event frailty models reduced time-varying and other biases in evaluating transfusion protocols for traumatic hemorrhage.

Journal Article J Clin Epidemiol · September 2016 OBJECTIVE: Transfusion research seeks to improve survival for severely injured and hemorrhaging patients using optimal plasma and platelet ratios over red blood cells (RBCs). However, most published studies comparing different ratios are plagued with serio ... Full text Link to item Cite

Inference for correlated effect sizes using multiple univariate meta-analyses.

Journal Article Stat Med · April 30, 2016 Multivariate meta-analysis, which involves jointly analyzing multiple and correlated outcomes from separate studies, has received a great deal of attention. One reason to prefer the multivariate approach is its ability to account for the dependence between ... Full text Link to item Cite

Meta-analysis of studies with bivariate binary outcomes: a marginal beta-binomial model approach.

Journal Article Stat Med · January 15, 2016 When conducting a meta-analysis of studies with bivariate binary outcomes, challenges arise when the within-study correlation and between-study heterogeneity should be taken into account. In this paper, we propose a marginal beta-binomial model for the met ... Full text Link to item Cite

A joint latent class analysis for adjusting survival bias with application to a trauma transfusion study.

Journal Article Stat Med · January 15, 2016 There is no clear classification rule to rapidly identify trauma patients who are severely hemorrhaging and may need substantial blood transfusions. Massive transfusion (MT), defined as the transfusion of at least 10 units of red blood cells within 24 h of ... Full text Link to item Cite

A joint latent class model for classifying severely hemorrhaging trauma patients.

Journal Article BMC Res Notes · October 24, 2015 BACKGROUND: In trauma research, "massive transfusion" (MT), historically defined as receiving ≥10 units of red blood cells (RBCs) within 24 h of admission, has been routinely used as a "gold standard" for quantifying bleeding severity. Due to early in-hosp ... Full text Link to item Cite

An alternative pseudolikelihood method for multivariate random-effects meta-analysis.

Journal Article Stat Med · February 10, 2015 Recently, multivariate random-effects meta-analysis models have received a great deal of attention, despite its greater complexity compared to univariate meta-analyses. One of its advantages is its ability to account for the within-study and between-study ... Full text Link to item Cite

ZIP4 is a novel diagnostic and prognostic marker in human pancreatic cancer: a systemic comparison between EUS-FNA and surgical specimens.

Journal Article Curr Mol Med · March 2014 Aberrant expression of a zinc transporter ZIP4 in pancreatic ductal adenocarcinoma (PDAC) has been shown to contribute to tumor progression and is a potential target for individualized therapy. The overall objective of this study was to determine whether Z ... Full text Link to item Cite

Semiparametric tests for identifying differentially methylated loci with case-control designs using Illumina arrays.

Journal Article Genet Epidemiol · January 2014 DNA methylation plays an important role in the development of many types of cancer. Identifying differentially methylated loci between cancer and normal patients is one of the central tasks to understand the contributions of the methylation process on canc ... Full text Link to item Cite