A LOG‐MULTIPLICATIVE ASSOCIATION MODEL FOR ALLOCATING HOMICIDES WITH UNKNOWN VICTIM‐OFFENDER RELATIONSHIPS*

This research note critically evaluates conventional methods for allocating homicides with an unknown victim/offender relationship to meaningful categories, and it proposes an alternative approach. We argue that conventional methods are based on a problematic assumption, namely, that the missing data mechanism is “ignorable.” As an alternative to these methods, we propose an imputation algorithm derived from a log‐multiplicative model that does not require this assumption. We apply this technique to estimate levels of homicides disaggregated by victim/offender relationship using the Federal Bureau of Investigation's Supplementary Homicide Report (SHR) data for 1996 and 1997, and we compare the resulting estimates with those obtained from the application of conventional procedures. Our results yield a larger proportion of stranger homicides than are obtained from the conventional methods.     

大鼠液压冲击脑损伤TGF-β1及其受体TβR I的表达

目的观察脑损伤后TGF-β1及其受体TβRI蛋白表达及其时序性变化,探讨脑损伤的分子机制及法医学脑损伤时间推断。方法用免疫组织化学方法观察大鼠液压冲击脑损伤后TGF-β1及其受体TβRI蛋白在伤后不同时间(30 min、1 h、3 h、6 h、12 h、1 d、3 d、7 d)的表达情况,以正常大鼠及手术大鼠作为对照。结果 (1)正常及手术对照组大鼠脑组织内有低水平的TGF-β1及TβRI表达;(2)脑损伤后1～3d,大脑皮质和脑干TGF-β1/TβRI蛋白表达逐渐增加,7 d时仍维持在高表达水平;(3)海马冲击后12 h～1 d逐渐增加,3 d时仍处于高表达水平,7 d时已开始下降。结论脑损伤可诱导TGF-β1/TβRI基因在脑内表达,其时序性改变可望用于法医学脑损伤时间推断。     

Doctors in Extremity

Book Reviews in This Article:
Robert Jay Lifton, The Nazi Doctors: Medical Killing and the Psychology of Genocide.
Eric Stovcr and Elena O. Nightingak, eds., The Breaking of Bodies and Minds: Torture, Psychiatric Abuse and the Health Professions.
Elliot S. Valenstein, Great and Desperate Cures: The Rise and Decline of Psychosurgery and Other Related Treatments for Mental Illness.     

Changes in Legislative Support for the Governor's Program Over Time

Abstract This study examines changes in legislative support for the governor's legislative agenda in Georgia during the governor's first term in office (1991–94). I analyze the factors that led legislators to support the governor's agenda, as well as how the level of support changed between election years and off‐years. I use multivariate OLS models of gubernatorial support to determine how support varied (1) between the parties, (2) between factions within parties, and (3) over time. I find that there was wide variation in support among factions in the majority party and that support varied widely between election years and off‐years.