James Zhang
Biographic Data
| ID | 3931673 |
|---|---|
| NAME | James Zhang |
| GIVEN NAMES | James |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG J |
| AFFILIATIONS | University of Chicago |
| ORCID | 0009-0008-9296-0856 |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 21 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 3 |
A Multi-Objective Agent-Based Model for Optimising Polling Place Resource Allocation
Background Long queues at polling stations reduce voter satisfaction and raise the cost of running elections. In Australian federal elections, unpredictable arrival patterns and early-voting behaviour make traditional staffing estimates unreliable, often resulting in either under-utilised staff or wait times that exceed an hour. Objectives (1) Build a framework that couples an agent-based simulation of a polling station with a multi objective opt…
Cybercrime Education in U.S. Criminology and Criminal Justice Doctoral Programs
Stance classification
Hansard, or the official verbatim transcripts of parliamentary debates, contains rich information for analysing discourse and political activities on a wide range of policy issues. A fundamental task in political text analysis is to predict whether a speaker takes on a positive or negative view about a debate topic. Unlike social media data, which has received extensive attention for political text mining, stance analysis on Hansard data remains …
Synergies between "Hard" and "Soft" Interventions Against Online Extremism
This study explores the synergies between two complementary interventions for countering online extremism: deplatforming, a “hard” intervention that involves removing extremist users from online platforms, and inoculation, a “soft” intervention that exposes users to weakened forms of extremist arguments to build resistance. We developed an agent-based model to simulate the diffusion and control of online extremism, using data from systematic revi…
“We have to lie low … that sort of poisons me more and more”
How Homeownership, Race, and Social Connections Influence Flood Preparedness Measures
Climate change and changing built environments are changing flooding regimes. Since flood management policies often rely on household preparedness, understanding what factors shape household flood preparedness measures is imperative. We focus on three dimensions: race, participation in local organizations, and homeownership as moderated by flood experience. With survey data from two small riverside cities in the northeastern United States, we exa…
Developing an Integrated Longitudinal Dataset for Patient-Centered Outcome Measures in Cost-Related Medication Nonadherence
BACKGROUND: Cost-related medication nonadherence (CRN) is an important patient-centered outcome measure. Longitudinal follow-up of CRN is rare. OBJECTIVE: We propose to develop a novel integrated dataset to study CRN longitudinally. RESEARCH DESIGN: A dataset of 2000 Medicare beneficiaries at high risk of hospitalization surveyed quarterly on CRN and followed up individually for 8 quarters between 2013 and 2018 was linked to Medicare files. A met…
Different Hazards, Different Responses
The coronavirus disease 2019 (COVID-19) pandemic and extreme flooding events have recently taken enormous tolls. Drawing on research into differential risk responses across hazards, the authors examine how different social processes surrounding risk from flooding and COVID-19 shape how people respond to each hazard. Data from a household survey of 498 residents in two cities in the northeastern United States reveal that levels of concern and prot…
Exploring the structure of digital literacy competence assessed using authentic software applications
Digital literacy competence (DL) is an important capacity for students’ learning in a rapidly changing world. However, little is known about the empirical structure of DL. In this paper, we review major DL assessment frameworks and explore the dimensionality of DL from an empirical perspective using assessment data collected using authentic software applications, rather than simulated assessment environments. Secondary analysis on representative …
The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non–Small Cell Lung Cancer
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting overall survival among patients with non-small cell lung cancer using a Variable Importance (VIMP) approach in a machine-learning Random Survival Forest (RSF) model for posttreatment planning and follow…
Socioeconomic Disparities in Ectopic Pregnancy
Insurance Status and Quality of Diabetes Care in Community Health Centers
Objectives. We sought to compare quality of diabetes care by insurance type in federally funded community health centers. Method. We categorized 2018 diabetes patients, randomly selected from 27 community health centers in 17 states in 2002, into 6 mutually exclusive insurance groups. We used multivariate logistic regression analyses to compare quality of diabetes care according to 6 National Committee for Quality Assurance Health Plan Employer D…
Characteristics of Patients Receiving Pharmaceutical Samples and Association Between Sample Receipt and Out-of-Pocket Prescription Costs
BACKGROUND: Pharmaceutical samples are widely used for promotion and marketing, yet little is known about who receives samples or how their use is associated with patient's prescription costs. OBJECTIVE: To examine the characteristics of those receiving samples and the relationship between sample receipt and out-of-pocket prescription costs. DESIGN, SUBJECTS, AND MEASURES: We divided the 2002-2003 Medical Expenditure Panel Survey, a nationally re…
Refinements of a methodology for detecting married couples in the medicare data
This article is a commentary on the methodology used by Kestenbaum in detecting married couples in the US. First the authors considered Kestenbaums efforts in conducting parallel analyses on this subject using the data sets of the Social Security Administration and his ability to confirm the main points of the argument. Likewise the authors acknowledge Kestenbaums insight that the cross-reference file can be used to link classes of husbands and w…
Specialty Differences in the Care of Older Patients With Diabetes
OBJECTIVES: To determine differences in health status, quality of care, and resource utilization among older diabetic Medicare patients cared for by endocrinologists, internists, family practitioners, and general practitioners. METHODS: The authors analyzed 1,637 patients with diabetes age 65 years or older in the 1994 Medicare Current Beneficiary Survey, a database that links patient surveys to 12 months of Medicare claims data. MEASURES: Measur…
The Performance of Different Lookback Periods and Sources of Information for Charlson Comorbidity Adjustment in Medicare Claims
BACKGROUND: The Charlson Score is a particularly popular form of comorbidity adjustment in claims data analysis. However, the effects of certain implementation decisions have not been empirically examined. OBJECTIVE: To determine the effects of alternative data sources and lookback periods on the performance of Charlson scores in the prediction of mortality following hospitalization. SUBJECTS: A representative sample of 1,387 elderly patients hos…
A methodology for identifying married couples in medicare data
Wedescribe a method for the development of cohorts of up to three quarters of the 14 million married couples aged 65 and over in the United States. The health care experiences, illness histories, and mortality of these identified couples can be assessed longitudinally using Medicare data. We summarize strengths and limitations of using data from Medicare administrative records for the study of marriage, health, and aging. We illustrate the method…
A methodology for identifying married couples in medicare data
Wedescribe a method for the development of cohorts of up to three quarters of the 14 million married couples aged 65 and over in the United States. The health care experiences, illness histories, and mortality of these identified couples can be assessed longitudinally using Medicare data. We summarize strengths and limitations of using data from Medicare administrative records for the study of marriage, health, and aging. We illustrate the method…
Insurance Status and Quality of Diabetes Care in Community Health Centers
Objectives. We sought to compare quality of diabetes care by insurance type in federally funded community health centers. Method. We categorized 2018 diabetes patients, randomly selected from 27 community health centers in 17 states in 2002, into 6 mutually exclusive insurance groups. We used multivariate logistic regression analyses to compare quality of diabetes care according to 6 National Committee for Quality Assurance Health Plan Employer D…
Refinements of a methodology for detecting married couples in the medicare data
This article is a commentary on the methodology used by Kestenbaum in detecting married couples in the US. First the authors considered Kestenbaums efforts in conducting parallel analyses on this subject using the data sets of the Social Security Administration and his ability to confirm the main points of the argument. Likewise the authors acknowledge Kestenbaums insight that the cross-reference file can be used to link classes of husbands and w…
How Homeownership, Race, and Social Connections Influence Flood Preparedness Measures
Climate change and changing built environments are changing flooding regimes. Since flood management policies often rely on household preparedness, understanding what factors shape household flood preparedness measures is imperative. We focus on three dimensions: race, participation in local organizations, and homeownership as moderated by flood experience. With survey data from two small riverside cities in the northeastern United States, we exa…
A methodology for identifying married couples in medicare data
Wedescribe a method for the development of cohorts of up to three quarters of the 14 million married couples aged 65 and over in the United States. The health care experiences, illness histories, and mortality of these identified couples can be assessed longitudinally using Medicare data. We summarize strengths and limitations of using data from Medicare administrative records for the study of marriage, health, and aging. We illustrate the method…
The Performance of Different Lookback Periods and Sources of Information for Charlson Comorbidity Adjustment in Medicare Claims
BACKGROUND: The Charlson Score is a particularly popular form of comorbidity adjustment in claims data analysis. However, the effects of certain implementation decisions have not been empirically examined. OBJECTIVE: To determine the effects of alternative data sources and lookback periods on the performance of Charlson scores in the prediction of mortality following hospitalization. SUBJECTS: A representative sample of 1,387 elderly patients hos…
Refinements of a methodology for detecting married couples in the medicare data
This article is a commentary on the methodology used by Kestenbaum in detecting married couples in the US. First the authors considered Kestenbaums efforts in conducting parallel analyses on this subject using the data sets of the Social Security Administration and his ability to confirm the main points of the argument. Likewise the authors acknowledge Kestenbaums insight that the cross-reference file can be used to link classes of husbands and w…
Specialty Differences in the Care of Older Patients With Diabetes
OBJECTIVES: To determine differences in health status, quality of care, and resource utilization among older diabetic Medicare patients cared for by endocrinologists, internists, family practitioners, and general practitioners. METHODS: The authors analyzed 1,637 patients with diabetes age 65 years or older in the 1994 Medicare Current Beneficiary Survey, a database that links patient surveys to 12 months of Medicare claims data. MEASURES: Measur…
Characteristics of Patients Receiving Pharmaceutical Samples and Association Between Sample Receipt and Out-of-Pocket Prescription Costs
BACKGROUND: Pharmaceutical samples are widely used for promotion and marketing, yet little is known about who receives samples or how their use is associated with patient's prescription costs. OBJECTIVE: To examine the characteristics of those receiving samples and the relationship between sample receipt and out-of-pocket prescription costs. DESIGN, SUBJECTS, AND MEASURES: We divided the 2002-2003 Medical Expenditure Panel Survey, a nationally re…
Insurance Status and Quality of Diabetes Care in Community Health Centers
Objectives. We sought to compare quality of diabetes care by insurance type in federally funded community health centers. Method. We categorized 2018 diabetes patients, randomly selected from 27 community health centers in 17 states in 2002, into 6 mutually exclusive insurance groups. We used multivariate logistic regression analyses to compare quality of diabetes care according to 6 National Committee for Quality Assurance Health Plan Employer D…
Socioeconomic Disparities in Ectopic Pregnancy
Exploring the structure of digital literacy competence assessed using authentic software applications
Digital literacy competence (DL) is an important capacity for students’ learning in a rapidly changing world. However, little is known about the empirical structure of DL. In this paper, we review major DL assessment frameworks and explore the dimensionality of DL from an empirical perspective using assessment data collected using authentic software applications, rather than simulated assessment environments. Secondary analysis on representative …
The Relative Importance of Clinical and Socio-demographic Variables in Prognostic Prediction in Non–Small Cell Lung Cancer
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid growth of literature on machine-learning approaches in biological data analysis. We aim to assess the relative importance of variables in predicting overall survival among patients with non-small cell lung cancer using a Variable Importance (VIMP) approach in a machine-learning Random Survival Forest (RSF) model for posttreatment planning and follow…
Different Hazards, Different Responses
The coronavirus disease 2019 (COVID-19) pandemic and extreme flooding events have recently taken enormous tolls. Drawing on research into differential risk responses across hazards, the authors examine how different social processes surrounding risk from flooding and COVID-19 shape how people respond to each hazard. Data from a household survey of 498 residents in two cities in the northeastern United States reveal that levels of concern and prot…
“We have to lie low … that sort of poisons me more and more”
How Homeownership, Race, and Social Connections Influence Flood Preparedness Measures
Climate change and changing built environments are changing flooding regimes. Since flood management policies often rely on household preparedness, understanding what factors shape household flood preparedness measures is imperative. We focus on three dimensions: race, participation in local organizations, and homeownership as moderated by flood experience. With survey data from two small riverside cities in the northeastern United States, we exa…
Developing an Integrated Longitudinal Dataset for Patient-Centered Outcome Measures in Cost-Related Medication Nonadherence
BACKGROUND: Cost-related medication nonadherence (CRN) is an important patient-centered outcome measure. Longitudinal follow-up of CRN is rare. OBJECTIVE: We propose to develop a novel integrated dataset to study CRN longitudinally. RESEARCH DESIGN: A dataset of 2000 Medicare beneficiaries at high risk of hospitalization surveyed quarterly on CRN and followed up individually for 8 quarters between 2013 and 2018 was linked to Medicare files. A met…
Stance classification
Hansard, or the official verbatim transcripts of parliamentary debates, contains rich information for analysing discourse and political activities on a wide range of policy issues. A fundamental task in political text analysis is to predict whether a speaker takes on a positive or negative view about a debate topic. Unlike social media data, which has received extensive attention for political text mining, stance analysis on Hansard data remains …
Synergies between "Hard" and "Soft" Interventions Against Online Extremism
This study explores the synergies between two complementary interventions for countering online extremism: deplatforming, a “hard” intervention that involves removing extremist users from online platforms, and inoculation, a “soft” intervention that exposes users to weakened forms of extremist arguments to build resistance. We developed an agent-based model to simulate the diffusion and control of online extremism, using data from systematic revi…
A Multi-Objective Agent-Based Model for Optimising Polling Place Resource Allocation
Background Long queues at polling stations reduce voter satisfaction and raise the cost of running elections. In Australian federal elections, unpredictable arrival patterns and early-voting behaviour make traditional staffing estimates unreliable, often resulting in either under-utilised staff or wait times that exceed an hour. Objectives (1) Build a framework that couples an agent-based simulation of a polling station with a multi objective opt…
Cybercrime Education in U.S. Criminology and Criminal Justice Doctoral Programs
Medicine (11 works) · Demography (6 works) · Internal Medicine (5 works) · Internal Medicine (5 works) · Environmental health (4 works) · Gerontology (4 works) · Health care (4 works) · Sociology (4 works) · Business (3 works) · Chronic Disease Management Strategies (3 works)