scholarly journals The contribution of neighbours to an individual's risk of typhoid outcome

2015 ◽  
Vol 143 (16) ◽  
pp. 3520-3527 ◽  
Author(s):  
D. L. CHAO ◽  
J. K. PARK ◽  
F. MARKS ◽  
R. L. OCHIAI ◽  
I. M. LONGINI ◽  
...  
Keyword(s):  
Vaccine Trial ◽  
Infectious Agent ◽  
Endemic Region ◽  
Potential Exposure ◽  
Individual Level ◽  
Relative Risks ◽  
Using Data ◽  
Cluster Randomized ◽  
Indirect Protection ◽  
Pharmaceutical Interventions

SUMMARYAn individual's risk of infection from an infectious agent can depend on both the individual's own risk and protective factors and those of individuals in the same community. We hypothesize that an individual's exposure to an infectious agent is associated with the risks of infection of those living nearby, whether their risks are modified by pharmaceutical interventions or by other factors, because of the potential for transmission from them. For example, unvaccinated individuals living in a highly vaccinated community can benefit from indirect protection, or living near more children in a typhoid-endemic region (where children are at highest risk) might result in more exposure to typhoid. We tested this hypothesis using data from a cluster-randomized typhoid vaccine trial. We first estimated each individual's relative risk of confirmed typhoid outcome using their vaccination status and age. We defined a new covariate, potential exposure, to be the sum of the relative risks of all who live within 100 m of each person. We found that potential exposure was significantly associated with an individual's typhoid outcome, and adjusting for potential exposure affected estimates of vaccine efficacy. We suggest that it is useful and feasible to adjust for spatially heterogeneous distributions of individual-level risk factors, but further work is required to develop and test such approaches.

It Is Your Decision to Date Interracially: The Influence of Family Approval on the Likelihood of Interracial/Interethnic Dating

2021 ◽  
pp. 0192513X2199413
Author(s):  
Byron Miller ◽  
Savanah Catalina ◽  
Sara Rocks ◽  
Kathryn Tillman
Keyword(s):  
College Students ◽  
Young Adults ◽  
Romantic Relationships ◽  
Family Members ◽  
Individual Level ◽  
Interracial Romance ◽  
Using Data ◽  
Do So

Although attitudes toward interracial romantic relationships (IRRs) have generally improved over the years, many Americans still disapprove of their family members being in IRRs. Prior studies have examined correlates of individual-level attitudes about interracial romance, but less is known about whether family members’ attitudes are directly associated with young people’s decisions to date interracially. Using data collected from 790 romantically involved college students at two large public four-year universities, we find that young adults who believe their siblings, parents, and grandparents approve of IRRs have greater odds of dating interracially. Compared to Whites, Blacks and Hispanics are more likely to be interracially involved but their decision to do so is much less dependent on the approval of their parents and grandparents. We also find young adults are more likely to date interracially if they have five or more relatives with IRR experience themselves. The findings and their implications are discussed.

xtgeebcv: A command for bias-corrected sandwich variance estimation for GEE analyses of cluster randomized trials

2020 ◽  
Vol 20 (2) ◽  
pp. 363-381 ◽  
Author(s):  
John A. Gallis ◽  
Fan Li ◽  
Elizabeth L. Turner
Keyword(s):  
Randomized Trials ◽  
Variance Estimation ◽  
Public Health Education ◽  
Standard Errors ◽  
Future Research ◽  
Type I ◽  
Cluster Randomized Trials ◽  
Finite Sample ◽  
Individual Level ◽  
Cluster Randomized

Cluster randomized trials, where clusters (for example, schools or clinics) are randomized to comparison arms but measurements are taken on individuals, are commonly used to evaluate interventions in public health, education, and the social sciences. Analysis is often conducted on individual-level outcomes, and such analysis methods must consider that outcomes for members of the same cluster tend to be more similar than outcomes for members of other clusters. A popular individual-level analysis technique is generalized estimating equations (GEE). However, it is common to randomize a small number of clusters (for example, 30 or fewer), and in this case, the GEE standard errors obtained from the sandwich variance estimator will be biased, leading to inflated type I errors. Some bias-corrected standard errors have been proposed and studied to account for this finite-sample bias, but none has yet been implemented in Stata. In this article, we describe several popular bias corrections to the robust sandwich variance. We then introduce our newly created command, xtgeebcv, which will allow Stata users to easily apply finite-sample corrections to standard errors obtained from GEE models. We then provide examples to demonstrate the use of xtgeebcv. Finally, we discuss suggestions about which finite-sample corrections to use in which situations and consider areas of future research that may improve xtgeebcv.

scholarly journals Childlessness, Individual Socioeconomic Resources, and Health: Exploring Variation in 20 Countries

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 515-516
Author(s):  
Nekehia Quashie ◽  
Christine Mair ◽  
Radoslaw Antczak ◽  
Bruno Arpino
Keyword(s):  
Older Adults ◽  
Health Outcomes ◽  
Health Indicators ◽  
Data Repository ◽  
Middle Income ◽  
Individual Level ◽  
Socioeconomic Resources ◽  
Middle Income Countries ◽  
Using Data ◽  
The Impact

Abstract Childless older adults may be at risk for poorer health cross-nationally, yet most studies on this topic analyze only a small number of countries and only 1 or 2 health outcomes. To our knowledge, two papers exist that explore associations between childlessness and multiple indicators of health using data from a large number of regionally diverse countries (e.g., 20 countries from North America, Asia, and Europe), but neither study includes an examination of socioeconomic resources. The level of health risk faced by childless older adults is likely to be distinctly shaped by older adults’ socioeconomic resources (e.g., education, income, wealth). Associations between childlessness, socioeconomic resources, and health may also differ by country context. Using harmonized, cross-national data for adults aged 50 and older across 20 high- and middle-income countries (United States (HRS), European Union (SHARE), Mexico (MHAS), and China (CHARLS) from the Gateway to Global Aging data repository), we explore if and how individual-level socioeconomic resources (income, education, wealth) moderate associations between childlessness and five health indicators (self-rated health, ADL limitations, IADL limitations, chronic conditions, and depression). Results suggest that associations between childlessness and health outcomes vary by individual socioeconomic resources in some country contexts, but not in others. We discuss these findings in light of the impact of individual-level socioeconomic resources on older adults’ support options and health outcomes cross-nationally.

scholarly journals Protocol for a hybrid type 2 cluster randomized trial of trauma-focused cognitive behavioral therapy and a pragmatic individual-level implementation strategy

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Aaron R. Lyon ◽  
Michael D. Pullmann ◽  
Shannon Dorsey ◽  
Carol Levin ◽  
Larissa M. Gaias ◽  
...  
Keyword(s):  
Mental Health ◽  
Cost Effectiveness ◽  
Behavior Change ◽  
Implementation Strategy ◽  
Youth Mental Health ◽  
Successful Implementation ◽  
Individual Level ◽  
Implementation Outcomes ◽  
Cluster Randomized

Abstract Background More than two-thirds of youth experience trauma during childhood, and up to 1 in 5 of these youth develops posttraumatic stress symptoms that significantly impair their functioning. Although trauma-focused cognitive behavior therapy (TF-CBT) has a strong evidence base, it is rarely adopted, delivered with adequate fidelity, or evaluated in the most common setting where youth access mental health services—schools. Given that individual behavior change is ultimately required for successful implementation, even when organizational factors are firmly in place, focusing on individual-level processes represents a potentially parsimonious approach. Beliefs and Attitudes for Successful Implementation in Schools (BASIS) is a pragmatic, motivationally focused multifaceted strategy that augments training and consultation and is designed to target precise mechanisms of behavior change to produce enhanced implementation and youth clinical outcomes. This study protocol describes a hybrid type 2 effectiveness-implementation trial designed to concurrently evaluate the main effects, mediators, and moderators of both the BASIS implementation strategy on implementation outcomes and TF-CBT on youth mental health outcomes. Methods Using a cluster randomized controlled design, this trial will assign school-based mental health (SMH) clinicians and schools to one of three study arms: (a) enhanced treatment-as-usual (TAU), (b) attention control plus TF-CBT, or (c) BASIS+TF-CBT. With a proposed sample of 120 SMH clinicians who will each recruit 4–6 youth with a history of trauma (480 children), this project will gather data across 12 different time points to address two project aims. Aim 1 will evaluate, relative to an enhanced TAU condition, the effects of TF-CBT on identified mechanisms of change, youth mental health outcomes, and intervention costs and cost-effectiveness. Aim 2 will compare the effects of BASIS against an attention control plus TF-CBT condition on theoretical mechanisms of clinician behavior change and implementation outcomes, as well as examine costs and cost-effectiveness. Discussion This study will generate critical knowledge about the effectiveness and cost-effectiveness of BASIS—a pragmatic, theory-driven, and generalizable implementation strategy designed to enhance motivation—to increase the yield of evidence-based practice training and consultation, as well as the effectiveness of TF-CBT in a novel service setting. Trial registration ClinicalTrials.gov registration number NCT04451161. Registered on June 30, 2020.

scholarly journals The Network Structure of Police Misconduct

2019 ◽  
Vol 5 ◽  
pp. 237802311987979 ◽  
Author(s):  
George Wood ◽  
Daria Roithmayr ◽  
Andrew V. Papachristos
Keyword(s):  
Social Networks ◽  
Network Structure ◽  
Police Officers ◽  
Police Misconduct ◽  
Police Departments ◽  
Top Down ◽  
Network Ties ◽  
Individual Level ◽  
Factors Associated ◽  
Using Data

Conventional explanations of police misconduct generally adopt a microlevel focus on deviant officers or a macrolevel focus on the top-down organization of police departments. Between these levels are social networks of misconduct. This study recreates these networks using data on 16,503 complaints and 15,811 police officers over a six-year period in Chicago. We examine individual-level factors associated with receiving a complaint, the basic properties of these misconduct networks, and factors related to officer co-naming in complaints. We find that the incidence of police misconduct is associated with attributes including race, age, and tenure and that almost half of police officers are connected in misconduct ties in broader networks of misconduct. We also find that certain dyadic factors, especially seniority and race, strongly predict network ties and the incidence of group misconduct. Our results provide actionable information regarding possible ways to leverage the co-complaint network structure to reduce misconduct.

scholarly journals On “Nationology”: The Gravitational Field of National Culture

2021 ◽  
pp. 002202212110447
Author(s):  
Plamen Akaliyski ◽  
Christian Welzel ◽  
Michael Harris Bond ◽  
Michael Minkov
Keyword(s):  
Gravitational Field ◽  
Cultural Values ◽  
National Culture ◽  
Random Noise ◽  
Religious Groups ◽  
Individual Values ◽  
Individual Level ◽  
Collective Phenomenon ◽  
Using Data ◽  
The Individual

Nations have been questioned as meaningful units for analyzing culture due to their allegedly limited variance-capturing power and large internal heterogeneity. Against this skepticism, we argue that culture is by definition a collective phenomenon and focusing on individual differences contradicts the very concept of culture. Through the “miracle of aggregation,” we can eliminate random noise and arbitrary variation at the individual level in order to distill the central cultural tendencies of nations. Accordingly, we depict national culture as a gravitational field that socializes individuals into the orbit of a nation’s central cultural tendency. Even though individuals are also exposed to other gravitational forces, subcultures in turn gravitate within the limited orbit of their national culture. Using data from the World Values Survey, we show that individual values cluster in concentric circles around their nation’s cultural gravity center. We reveal the miracle of aggregation by demonstrating that nations capture the bulk of the variation in the individuals’ cultural values once they are aggregated into lower-level territorial units such as towns and sub-national regions. We visualize the gravitational force of national cultures by plotting various intra-national groups from five large countries that form distinct national clusters. Contrary to many scholars’ intuitions, alternative social aggregates, such as ethnic, linguistic, and religious groups, as well as diverse socio-demographic categories, add negligible explained variance to that already captured by nations.

scholarly journals Power analyses for moderator effects with (non)randomly varying slopes in cluster randomized trials

Methodology ◽  
2021 ◽  
Vol 17 (2) ◽  
pp. 92-110
Author(s):  
Nianbo Dong ◽  
Jessaca Spybrook ◽  
Benjamin Kelcey ◽  
Metin Bulus
Keyword(s):  
Statistical Power ◽  
Randomized Trials ◽  
Future Research ◽  
Size Difference ◽  
Detectable Effect ◽  
Cluster Randomized Trials ◽  
Individual Level ◽  
Moderator Effects ◽  
Cluster Randomized ◽  
Power Analyses

Researchers often apply moderation analyses to examine whether the effects of an intervention differ conditional on individual or cluster moderator variables such as gender, pretest, or school size. This study develops formulas for power analyses to detect moderator effects in two-level cluster randomized trials (CRTs) using hierarchical linear models. We derive the formulas for estimating statistical power, minimum detectable effect size difference and 95% confidence intervals for cluster- and individual-level moderators. Our framework accommodates binary or continuous moderators, designs with or without covariates, and effects of individual-level moderators that vary randomly or nonrandomly across clusters. A small Monte Carlo simulation confirms the accuracy of our formulas. We also compare power between main effect analysis and moderation analysis, discuss the effects of mis-specification of the moderator slope (randomly vs. non-randomly varying), and conclude with directions for future research. We provide software for conducting a power analysis of moderator effects in CRTs.

scholarly journals Simple compared to covariate-constrained randomization methods in balancing baseline characteristics: a case study of randomly allocating 72 hemodialysis centers in a cluster trial

2021 ◽  
Author(s):  
Ahmed A Al-Jaishi ◽  
Stephanie N Dixon ◽  
Eric McArthur ◽  
PJ Devereaux ◽  
Lehana Thabane ◽  
...  
Keyword(s):  
Principal Components ◽  
Cluster Randomized Trial ◽  
Median Number ◽  
P Value ◽  
Individual Level ◽  
Level Data ◽  
Parallel Group ◽  
Baseline Characteristics ◽  
Cluster Randomized

Abstract Background and aim: Some parallel-group cluster randomized trials use covariate-constrained rather than simple randomization. This is done to increase the chance of balancing the groups on cluster- and patient-level baseline characteristics. This study assessed how well two covariate-constrained randomization methods balanced baseline characteristics compared with simple randomization. Methods: We conducted a mock three-year cluster randomized trial, with no active intervention, that started April 1st, 2014, and ended March 31st, 2017. We included a total of 11,832 patients from 72 hemodialysis centers (clusters) in Ontario, Canada. We randomly allocated the 72 clusters into two groups in a 1:1 ratio on a single date using individual- and cluster-level data available up to April 1st, 2013. Initially, we generated 1,000 allocation schemes using simple randomization. Then, as an alternative, we performed covariate-constrained randomization based on historical data from these centers. In one analysis, we restricted on a set of 11 individual-level prognostic variables; in the other, we restricted on principal components generated using 29 baseline historical variables. We created 300,000 different allocations for the covariate-constrained randomizations, and we restricted our analysis to the 30,000 best allocations. We then randomly sampled 1,000 schemes from the 30,000 best allocations. We summarized our results with each randomization approach as the median (25th, 75th percentile) number of balanced baseline characteristics. There were 156 baseline characteristics, and a variable was balanced when the between-group standardized difference was ≤ 10%. Results: The three randomization techniques had at least 125 of 156 balanced baseline characteristics in 90% of sampled allocations. The median number of balanced baseline characteristics using simple randomization was 147 (142, 150). The corresponding value for covariate-constrained randomization using 11 prognostic characteristics was 149 (146, 151), while for principal components, the value was 150 (147, 151). The median number of balanced baseline characteristics using the two covariate-constrained randomizations were statistically different from simple randomization (p-value < 0.0001). Conclusion: In this setting with 72 clusters, constraining the randomization using historical information achieved better balance on baseline characteristics compared with simple randomization; however, the magnitude of benefit was modest.

scholarly journals SARS-CoV-2 transmission and control in a hospital setting: an individual-based modelling study

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Qimin Huang ◽  
Anirban Mondal ◽  
Xiaobing Jiang ◽  
Mary Ann Horn ◽  
Fei Fan ◽  
...  
Keyword(s):  
Healthcare Workers ◽  
Hospital Setting ◽  
Credible Interval ◽  
Hospital Unit ◽  
Early Implementation ◽  
Using Data ◽  
And Control ◽  
The Impact ◽  
Pharmaceutical Interventions ◽  
Outbreak Size

Development of strategies for mitigating the severity of COVID-19 is now a top public health priority. We sought to assess strategies for mitigating the COVID-19 outbreak in a hospital setting via the use of non-pharmaceutical interventions. We developed an individual-based model for COVID-19 transmission in a hospital setting. We calibrated the model using data of a COVID-19 outbreak in a hospital unit in Wuhan. The calibrated model was used to simulate different intervention scenarios and estimate the impact of different interventions on outbreak size and workday loss. The use of high-efficacy facial masks was shown to be able to reduce infection cases and workday loss by 80% (90% credible interval (CrI): 73.1–85.7%) and 87% (CrI: 80.0–92.5%), respectively. The use of social distancing alone, through reduced contacts between healthcare workers, had a marginal impact on the outbreak. Our results also indicated that a quarantine policy should be coupled with other interventions to achieve its effect. The effectiveness of all these interventions was shown to increase with their early implementation. Our analysis shows that a COVID-19 outbreak in a hospital's non-COVID-19 unit can be controlled or mitigated by the use of existing non-pharmaceutical measures.

In Guns We Trust: A Reexamination of the Collective Security Hypothesis

2018 ◽  
Vol 45 (12) ◽  
pp. 1936-1954 ◽  
Author(s):  
James D. Kelsay ◽  
Jordan Papp ◽  
Jennifer Wareham ◽  
Brad W. Smith
Keyword(s):  
Social Control ◽  
Fear Of Crime ◽  
Informal Social Control ◽  
Collective Security ◽  
Gun Ownership ◽  
Individual Level ◽  
The Public ◽  
Security Hypothesis ◽  
Perceptions Of Police ◽  
Using Data

This study reexamines the collective security hypothesis of gun ownership using data collected from residents of the city of Detroit, Michigan. In addition, we seek to determine whether the effects of perceptions of police, fear of crime, and victimization on individual-level gun ownership are attenuated by neighborhood levels of informal social control. Our findings indicate that police satisfaction remains a robust predictor of gun ownership, in that those who are less satisfied with police are more likely to own a firearm for defensive purposes. Moreover, the effects of this variable remain unaffected by the inclusion of informal social control. These results confirm a number of previously identified correlates of gun ownership remain influential and suggest that improving perceptions of police among the public may lead to fewer firearms in circulation among the public.

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