Regression Analysis
Predictable Policing: Measuring the Crime Control Benefits of Hot Spots Policing at Bus Stops
Appendix C: Negative Binomial Regression Models and Estimation Methods (CrimeStat IV: A Spatial Statistics Program for the Analysis of Crime Incident Locations, Version 4.0)
Appendix B: Ordinary Least Squares and Poisson Regression Models (CrimeStat IV: A Spatial Statistics Program for the Analysis of Crime Incident Locations, Version 4.0)
CrimeStat Regression Module (CrimeStat IV: A Spatial Statistics Program for the Analysis of Crime Incident Locations, Version 4.0)
Spatial Regression Modeling (CrimeStat IV: A Spatial Statistics Program for the Analysis of Crime Incident Locations, Version 4.0)
Binomial Regression Modeling (CrimeStat IV: A Spatial Statistics Program for the Analysis of Crime Incident Locations, Version 4.0)
Push and pushback: Control behavior as a precipitant of verbal and violent disputes
Pilot Evaluation of K-12 School Security Professionals Online Training: Understanding Trauma and Social-Emotional Learning
The Effect of Marijuana Legalization on Jail Populations in Washington State
Did Marijuana Legalization in Washington State Reduce Racial Disparities in Adult Marijuana Arrests?
Differential prediction and disparate impact of pretrial risk assessments in practice: a multi-site evaluation
Detection and diversity of fluorinated oil- and water-repellent coatings on apparel fibers
Effects of outdoor weathering and laundering on the detection and classification of fluorinated oil-and-water-repellent fabric coatings
Attitudes Towards Police and Weapon Carriage Among Adolescents
The Role of Cultural Factors on Dating Aggression and Delinquency Among Latino Youth
Workflow for the Supervised Learning of Chemical Data: Efficient Data Reduction-Multivariate Curve Resolution (EDR-MCR)
NIJ-Funded Research on Mass Shootings to Advance Evidence-Based Policy and Practice
Mass public shootings continue to threaten communities in the United States, yet research on this criminal phenomenon is limited. In this full thematic panel, renowned experts will present a series of research projects summarizing NIJ-funded research projects’ newest findings on public mass shootings. The discussion will focus on NIJ’s investment to address the phenomenon of mass shootings through innovative study approaches to advance our understanding of mass shootings and inform prevention efforts. The implications of this research to criminal justice will also be discussed.
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Deep Learning Methods for Post Mortem Interval Estimation
Expert Algorithm for Substance Identification (EASI)
NIJ-Funded Research on Firearms Violence in Urban Cities Advancing Scientific Evidence to Inform Practice
In this full thematic panel, renowned experts will present a series of papers summarizing the newest findings of NIJ-funded research projects on criminal offenses with firearms in urban areas. Researchers used various criminological and other theories, including routine activity theory, socio-ecological and socio-environmental perspectives, and advanced mixed-study methods, including surveys and spatio-temporal designs, to produce scientific evidence to inform practice.
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