A statistical measure of tissue heterogeneity with by O'sullivan F., Roy S.
By O'sullivan F., Roy S.
Read Online or Download A statistical measure of tissue heterogeneity with application to 3D PET sarcoma data (2003)(en)(16s PDF
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Extra resources for A statistical measure of tissue heterogeneity with application to 3D PET sarcoma data (2003)(en)(16s
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The full study is reported in DeMaris et al. (2003). Datasets from the NVAWS NVAWS is short for the national survey on Violence and Threats of Violence Against Women and Men in the United States, 1994–1996, collected by Tjaden and Thoennes (1999). The target population for the NVAWS included men and women from all 50 states and the District of Columbia, and includes 8000 men and 8000 women who were 18 years of age and older in 1994. Datasets employed in this book utilize only the women’s data. Variables contain information about four types of victimization experienced over the life course: physical assault, sexual assault, stalking, and threats, as well as the mental health sequelae of such experiences.
Probability and Distribution Theory In sampling cases from a population, we speak of the probability of observing a particular value for a given variable, for the ith individual, where i equals 1, 2, . . , n. , 1971). Intuitively, however, the probability of some outcome refers to the relative frequency of its occurrence over an infinite repetition of the conditions that made its observation possible. 5. This means that if we were to toss that coin an infinite number of times, 50% of the outcomes would be heads.
Cases in the social and behavioral sciences are typically people, but do not have to be. They are the individual units of observation in one’s study. These can be individuals or organizations, just as they can be incidents or events. What we typically obtain in sampling cases from the population are attributes or characteristics of the cases, usually expressed as numerical values. These are our measurements on the cases. The attributes are called variables, and each variable typically exhibits some variability in realized values across the n cases in our sample.