Jason C. Hsu

National Cheng Kung University | NCKU · School of Pharmacy and Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine

Pancreatic cancer is among the deadliest cancers, with a grim prognosis despite advances in treatment. We conducted a population‐based case–control study from Taiwan, linking Health and Welfare Data Science Center data to the Taiwan Cancer Registry, which offers a promising strategy for its treatment through drug repurposing. The study aims to iden...

Introduction Diabetes, kidney disease, and cardiovascular disease have complex interactions and coexistences that significantly worsen a patient's overall health. Previous research results have shown that SGLT2i hypoglycemic drugs can not only effectively control blood sugar in diabetic patients, but also protect the kidneys and heart. This study f...

Objective The objective of this paper is to provide a comprehensive overview of the development and features of the Taipei Medical University Clinical Research Database (TMUCRD), a repository of real-world data (RWD) derived from electronic health records (EHRs) and other sources. Methods TMUCRD was developed by integrating EHRs from three affilia...

The study aims to develop machine-learning models to predict cardiac adverse events in female breast cancer patients who receive adjuvant therapy. We selected breast cancer patients from a retrospective dataset of the Taipei Medical University Clinical Research Database and Taiwan Cancer Registry between January 2004 and December 2020. Patients wer...

Background Previous studies have identified COVID-19 risk factors, such as age and chronic health conditions, linked to severe outcomes and mortality. However, accurately predicting severe illness in COVID-19 patients remains challenging, lacking precise methods. Objective This study aimed to leverage clinical real-world data and multiple machine-...

Introduction Pancreatic cancer is associated with poor prognosis. Considering the increased global incidence of diabetes cases and that individuals with diabetes are considered a high-risk subpopulation for pancreatic cancer, it is critical to detect the risk of pancreatic cancer within populations of person living = with diabetes. This study aimed...

Importance Ranitidine, the most widely used histamine-2 receptor antagonist (H 2 RA), was withdrawn because of N-nitrosodimethylamine impurity in 2020. Given the worldwide exposure to this drug, the potential risk of cancer development associated with the intake of known carcinogens is an important epidemiological concern. Objective To examine the...

Objectives The objective of this study was to apply machine learning algorithms to predict the risk of ischemic stroke in type 2 diabetes mellitus patients who were prescribed antidiabetic medications. This is an important complication of type 2 diabetes, and developing prediction models can help identify patients at a higher risk of developing it....

BACKGROUND The possible association between diabetes mellitus and dementia has raised concerns, given the observed coincidental occurrences. OBJECTIVE This study aims to develop a personalized predictive model, utilizing artificial intelligence, to assess the 5-year and 10-year dementia risk among patients with Type 2 Diabetes Mellitus (T2DM) who...

Background The possible association between diabetes mellitus and dementia has raised concerns, given the observed coincidental occurrences. Objective This study aimed to develop a personalized predictive model, using artificial intelligence, to assess the 5-year and 10-year dementia risk among patients with type 2 diabetes mellitus (T2DM) who are...

The study used clinical data to develop a prediction model for breast cancer survival. Breast cancer prognostic factors were explored using machine learning techniques. We conducted a retrospective study using data from the Taipei Medical University Clinical Research Database, which contains electronic medical records from three affiliated hospital...

Abstract Objectives Most studies of body size perception have been performed in adolescents, and most focus on gender differences in accurate perception of body size. This study investigated misperceptions of body sizes among males and females at different stages of adulthood in Taiwan. Designs In-person home interviews were used to proportionally...

Background and objective: The promising use of artificial intelligence (AI) to emulate human empathy may help a physician engage with a more empathic doctor-patient relationship. This study demonstrates the application of artificial empathy based on facial emotion recognition to evaluate doctor-patient relationships in clinical practice. Methods:...

Background: Firm conclusions about whether long-term proton pump inhibitor (PPI) drug use impacts female cancer risk remain controversial. Objective: We aimed to investigate the associations between PPI use and female cancer risks. Methods: A nationwide population-based, nested case-control study was conducted within Taiwan’s Health and Welfare Dat...

A well-established lung-cancer-survival-prediction model that relies on multiple data types, multiple novel machine-learning algorithms, and external testing is absent in the literature. This study aims to address this gap and determine the critical factors of lung cancer survival. We selected non-small-cell lung cancer patients from a retrospectiv...

Objectives The coronavirus disease 2019 pandemic has affected countries around the world since 2020, and an increasing number of people are being infected. The purpose of this research was to use big data and artificial intelligence technology to find key factors associated with the coronavirus disease 2019 infection. The results can be used as a r...

Importance: More than 1 billion adults have hypertension globally, of whom 70% cannot achieve their hypertension control goal with monotherapy alone. Data are lacking on clinical use patterns of dual combination therapies prescribed to patients who escalate from monotherapy. Objective: To investigate the most common dual combinations prescribed...

Immune checkpoint inhibitors (ICIs) have been approved to treat patients with various cancer types, including lung cancer, in many countries. This study aims to investigate the effectiveness and safety of ICIs under different treatment conditions of non-small cell lung cancer patients. A population-based retrospective cohort study was conducted usi...

Background: This study is aimed toward an analysis of the variations in lung cancer incidence and mortality, adjusted by population factors (age, gender, and year), between administrative areas. Methods: This is a retrospective study, using 2005-2014 data in each administrative area from the Taiwan Cancer Registry database organized by the Healt...

Objectives Two oral targeted therapies, gefitinib and erlotinib, were first approved and then launched into the market for treatment of late-stage non-small cell lung cancer (NSCLC) in Taiwan in 2003 and 2006, respectively. The aim of this study were to determine the trends in lung cancer burden and examine changes in lung cancer-related survival r...

Objective This study is aimed toward establishing a decision-making model with multiple criteria for appraisal and reimbursement to compare the attitudes of different stakeholders toward various dimensions and criteria and to evaluate the five targeted therapies (bevacizumab, cetuximab, panitumumab, aflibercept, and regorafenib) for metastatic colo...

Background Low birth rates and infertility are growing concerns for many countries. The Artificial Reproduction Act (ARA) was implemented in 2007 to better support the use of assisted reproductive technology (ART) in Taiwan. This study aims to examine trends in the use of ART and to determine impacts of the ARA on ART use. Method This study used d...

Background High-cost orphan drugs are becoming increasingly available to treat rare diseases that affect a relatively small population. Little attention has been given to the prevalence of rare diseases and their health-related economic burden in Taiwan. Objectives This study examined the national trends in the prevalence of rare diseases and thei...

Background Targeted therapies have become important treatment options for cancer care in many countries. This study aimed to examine recent trends in utilization of antineoplastic drugs, particularly the use of targeted therapies for treatment of cancer, by geographic region in Taiwan (northern, midwestern, southern, and eastern regions and the out...

Background: Dengue is the most rapidly spreading disease through mosquito-borne virus in the world. The incidence of dengue has increased 30-folds in the last 50 years globally. Understanding the prevalence of Dengue and its longitudinal trend can improve prevention and control strategies. This study assessed the trend in prevalence of dengue in T...

Objectives Some targeted therapies have improved survival and overall quality of cancer care generally, but these increasingly expensive medicines have led to increases in pharmaceutical expenditure. This study examined trends in use and expenditures of antineoplastic agents in Taiwan, and estimated market shares by prescription volume and costs of...

Objectives This study examined the recent trend in use and costs of antineoplastic agents for treatment of eye malignancies in Taiwan from 2009 to 2012. We also forecasted use and costs of targeted therapies up to and including year 2016 based on the current patterns. Design Retrospective observational study focusing on the usage of targeted therap...

The rapid growth of health care expenditures, especially pharmaceutical spending, is a challenge for many countries. To control increasing pharmaceutical expenditures and to enhance rational use of drugs, Taiwan’s National Health Insurance drug reimbursement system has evolved over time since its introduction in 1995. This study reviewed Taiwan’s d...

PurposeTo evaluate changes in thiazolidinedione use and quality of prescription following safety warnings for thiazolidinediones and cardiac risk in 2007, Risk Management Plan (RMP) policy for rosiglitazone in 2010, and warning for pioglitazone and bladder cancer risk in 2010 in Taiwan.Methods We obtained 2003–2011 claims data from Taiwan's Nationa...

Purpose: The US Food and Drug Administration (FDA) communicated the potential cardiovascular risk of thiazolidinediones (rosiglitazone and pioglitazone) in 2007 and required a Risk Evaluation and Mitigation Strategy (REMS) for rosiglitazone in 2010. It also communicated in 2010 the potential risk of bladder cancer with pioglitazone use. This study...

Objectives Taiwan’s National Health Insurance (NHI) has encouraged physicians to use “chronic medication prescriptions” for patients with stable chronic diseases since 1995. Patients are allowed to refill such prescriptions at community pharmacies for a maximum of three months’ supply of medications without revisiting the doctor. In 2006, NHI initi...

Background: This study quantitatively evaluated the comparative efficacy and safety of new oral anticoagulants (dabigatran, rivaroxaban, and apizaban) and warfarin for treatment of nonvalvular atrial fibrillation. We also compared these agents under different scenarios, including population with high risk of stroke and for primary vs. secondary st...

Background Erectile dysfunction (ED) is a common male sexual disorder worldwide. Three oral phosphodiesterase type 5 inhibitors (PDE5Is) – sildenafil, tadalafil and vardenafil – are available for treatment of ED. This study quantitatively evaluated the therapeutic efficacy and safety of these medications to assist treatment decision making.Methods...

The purpose of this study is to evaluate the utilization of four approved antihyperuricemic agents in Taiwan before and after two safety announcements rescinded an indication for allopurinol and added a warning on benzbromarone-induced hepatotoxicity in the year 2005. An interrupted time series design and segmented regression models were used to ex...

To control increasing pharmaceutical expenditures, Taiwan's National Health Insurance has implemented a series of drug reimbursement price reductions since 2000. This study examined changes in use and expenditures of oral antidiabetic medications following the price regulation in November 2006. We obtained claims data between January 2006 and Augus...

Drawing from recent research on the international new ventures' (INVs) internal and external characteristics and conditions, this article explores the trajectory of growth for high-tech INVs from firms' life cycle perspective, and examines the divergent features of INVs, including internationalization, organizational learning, and alliance network,...

This research explores international alliance in a Chinese context to understand the relationships and decision-making processes between Chinese and foreign pharmaceutical firms. We adopt static and dynamic game theory approaches to create models and use mathematic methods to deduct and explain the events under the various situations. Our results s...

Background: The causes of imprecision in microarray expression analysis are poorly understood, limiting the use of this technology in molecular diagnostics. Two-dimensional strandness-dependent electrophoresis (2D-SDE) separates nucleic acid molecules on the basis of length and strandness, i.e., double-stranded DNA (dsDNA), single-stranded DNA (ss...

Holm's method and Hochberg's method for multiple testing can be viewed as step-down and step-up versions of the Bonferroni test. We show that both are special cases of partition testing. The difference is that, while Holm's method tests each partition hypothesis using the largest order statistic, setting a critical value based on the Bonferroni ine...

Permutation test is a popular technique for testing a hypothesis of no effect, when the distribution of the test statistic is unknown. To test the equality of two means, a permutation test might use a test statistic which is the difference of the two sample means in the univariate case. In the multivariate case, it might use a test statistic which...

Not all simultaneous inferences need multiplicity adjustment. If the sequence of individual inferences is predefined, and failure to achieve the desired inference at any step renders subsequent inferences unnecessary, then multiplicity adjustment is not needed. This can be justified using the closed testing principle to test appropriate hypotheses...

The bioequivalence problem is of practical importance because the approval of most generic drugs in the United States and the European Community (EC) requires the establishment of bioequivalence between the brand-name drug and the proposed generic version. The problem is theoretically interesting because it has been recognized as one for which the...

This article considers sample size computation for designing multiple comparisons experiments. We propose sample size should be computed so that multiple comparisons confidence intervals will cover the true parameters and be sufficiently narrow with a guaranteed high probability. Appropriate formulas and computer implementation are provided for Tuk...

New point and interval estimators for quantiles that employ a control variate are introduced. The properties of these estimators do not depend on the usual assumption of joint normality between the random variable of interest and the control. Illustrative examples for queueing and stochastic activity network models are given. In those examples, the...

There are three types of multiple comparisons: all-pairwise multiple comparisons (MCA), multiple comparisons with the best (MCB), and multiple comparisons with a control (MCC). There are also three levels of multiple comparisons inference: confidence sets, subset comparisons, test of homogeneity. In current practice, MCA procedures dominate. In cor...

The solubilization of uranium from a finely ground ore material was investigated in leaching tests each lasting for about 24 h. Ferric iron, added as Fe2(SO4)3 or produced by prior microbiological oxidation of FeSO4, accelerated the rates of uranium leaching, as compared with those obtained with sulfuric acid or acidic ferrous sulfate. Pulp density...

RS-HCB is the simultaneous computer implementation of Ranking and Selection (RS) and Multiple Comparisons with the Best (MCB) procedures. This is made possible by recent developments in statistics which showed that Ranking and Selection (both Subset Selection Indifference Zone) can be executed simultaneously with Multiple Comparisons with the Best...

The lack of computer software for Ranking and Selection has often been cited as a reason for it not having caught on in practice (Hayes 1982). Actually, this lack of software was a manifestation of some deeper perceived difficulties with practical usage, we believe. It was perceived that Bechhofer's (1954) Indifference Zone selection type inference...

Various species of soluble iron in pyrite‐grown cultures of Thiobacillus ferrooxidans were determined by colorimetry, atomic absorption spectrometry, and ultraviolet spectroscopy. All the cultures were incubated for six weeks before iron analysis. The effects of the following factors were investigated: particle size, initial pH, shaking (aeration),...

In this paper we propose and study two sequential elimination procedures for selecting all new treatments better than a standard or control treatment. These procedures differ from those previously proposed in that we assume variances are unequal and unknown. Expressions for asymptotic expected sample sizes are given. Confidence intervals associated...

Seven different kinds of membrane filters were evaluated for the enumeration of fecal conforms in water samples from three rivers. Analysis of variance of filter performance indicated significant interaction between the filter and the river water. The ranking and selection of filters was performed by using two different statistical procedures. In t...

In this paper, the origin of selection and ranking problems is discussed. The two basic approaches to the selection problem—the indifference zone approach and the subset selection approach—are reviewed briefly. Gupta's subset selection procedure is applied to motor vehicle fatality data which fit into a two-way layout.

In this paper, the origin of selection and ranking problems is discussed. The two basic approaches to the selection problem-the indifference zone approach and the subset selection approach-are reviewed briefly. Gupta's subset selection procedure is applied to motor vehicle fatality data which fit into a two-way layout.

In this paper, we restrict attention to the problem of subset selection of normal populations. The approaches and results of some previous comparison studies of subset selection procedures are discussed briefly. And then the result of a new Monte Carlo study comparing the performance of two classical procedures and the Bayes procedure is presented.

In this paper, the origin of selection and ranking problems is discussed. Then the two basic approaches to the selection problem - the indifference zone approach and the subset selection approach - are reviewed briefly. As an application, Gupta's subset selection procedure is applied to motor-vehicle fatality data which fits into a two-way lay-out.

When testing multiple hypotheses for genomics studies, we are usually confronted to the problem of unknown data and test statistics distributions. The most popular solution of such problems seems to be based on re-sampling, with or without replacement, of raw data or residuals, in a modeling approach. In this paper we find conditions which guarante...