A protocol for evaluating the accuracy of 3D body scanners

Scan-derived landmarks locations and surface shapes are more and more used, but there is no commonly accepted protocol for evaluating the accuracy of these measurements. Therefore we propose a protocol for evaluating the accuracy of surface shape and the repeatability of scan-derived landmark locations. According to existing Japanese and German domestic standards, we propose to use an artefact (e.g. sphere with diameter of about 120 mm) calibrated very accurately for evaluating the accuracy of scanner-systems. For evaluating the repeatability of landmark locations, we propose to use an anthropomorphic dummy with landmark locations premarked. These test objects are measured by a 3D body scanner to be evaluated. Evaluation parameters such as trueness, precision, and repeatability are calculated from the measured data. A round-robin test was conducted in six different institutes using 17 body/head/foot scanners produced by eight companies. The purposes of the roundrobin test were to evaluate the availability of test objects to different body scanners, and to examine the measurement locations of test objects and quality parameters to be reported. As a result, the proposed test objects could be measured and the data exported by all scanner systems except one, which could not export the ball measurement. For a comparative purpose, a figure of measured surface might be useful.     

Disparities in Human Papillomavirus Vaccine Literacy and Vaccine Completion Among Asian American Pacific Islander Undergraduates: Implications for Cancer Health Equity

Abstract

Purpose: Low rates of human papillomavirus (HPV) vaccination among young Asian American and Pacific Islander (AAPI) women need to be addressed, particularly given the high incidence of cervical cancer in this population. The current study aims to investigate predictors of HPV vaccination in young AAPI and non-Latina white (NLW) women. Methods: A secondary data analysis was conducted of a health survey administered to college-aged women (N = 2,270) at a large public university in the Midwest. Andersen's behavioral model of health services utilization guided the study theoretically, and hierarchical logistic regression analysis was conducted to investigate research aim. Results: NLW women had a significantly higher rate of vaccine completion than AAPI women (NLW = 60.7%; AAPI = 38.6%). NLW women also scored higher on all 5 measures of HPV vaccine literacy than AAPI women. Both groups of undergraduate women reported that increasing age, knowledge about HPV, greater use of gynecological services, and knowing someone who had cancer were significant factors related to HPV vaccination completion. In the NLW group, father's income was also found to be a predictor of HPV vaccination completion. Conclusions: Rate and predictors of HPV vaccination completion vary between NLW and AAPI women. Greater promotion of HPV literacy and gynecological service use should be made to young AAPI women to increase their HPV uptake. Further research should examine sociocultural factors that could hinder or promote HPV vaccination in young AAPI women.     

A Bayesian Change-Point Analysis for Software Reliability Models

In most software reliability models which utilize the nonhomogeneous Poisson process (NHPP), the intensity function for the counting process is usually assumed to be continuous and monotone. However, on account of various practical reasons, there may exist some change points in the intensity function and thus the assumption of continuous and monotone intensity function may be unrealistic in many real situations. In this article, the Bayesian change-point approach using beta-mixtures for modeling the intensity function with possible change points is proposed. The hidden Markov model with non constant transition probabilities is applied to the beta-mixture for detecting the change points of the parameters. The estimation and interpretation of the model is illustrated using the Naval Tactical Data System (NTDS) data. The proposed change point model will be also compared with the competing models via marginal likelihood. It can be seen that the proposed model has the highest marginal likelihood and outperforms the competing models.     

Welfare Reform and Elderly Immigrants' Naturalization: Access to Public Benefits as an Incentive for Naturalization in the United States

Welfare reform in the United States restricted non‐citizens' eligibility for public assistance programs and strengthened economic benefits from naturalization. We examine the impact of these policy changes on elderly immigrants' naturalization, considering their level of need for public benefits. Using individual data from the Current Population Survey as well as state‐level data, we employ a differences‐in‐differences approach to consider variations in time, state policy, and probability of Medicaid participation. Results show that naturalization significantly increased among elderly immigrants who were likely to participate in Medicaid, suggesting that elderly immigrants in need of Medicaid became naturalized to maintain their eligibility for public benefits after welfare reform.     

Underlying versus multiple causes of death: Effects on interpreting cancer mortality differentials by age,sex, and race

The conventional approach to measuring the medical cause of death in mortality analysis bases death on a single, underlying cause. An alternative approach, which makes use of all of the medical conditions cited by a physician on the death certificate and treats them in a multiplecause framework, is compared with the conventional approach in studying differential mortality among those 45 years of age and older in Florida. The two approaches are seen to provide different patterns of information that have analytical as well as policy ramifications.     

The formation and stability of ideal family size among young people

A sample of 1,123 sixth, ninth, and twelfth graders in two Southern counties was questioned to ascertain how many children they think is ideal. More than three-fourths of the students in each grade had given thought to an ideal number of children for themselves; fewer had thought about the ideal number for the average American couple. Two and three children were the modal responses; mean ideal sizes were 3.02 for self and 3.16 for the average couple. The range of acceptable fertility behavior, “too few” or “too many” children, is defined by medians of 1.56 and 5.96. Ideal and acceptable family sizes increase slightly in the higher grades. A sex difference in ideals appeared only at grade 12; girls wanted more children. Negroes wanted fewer children than did whites at grade 6, more at grade 12. Size of family of orientation was directly related to ideals at grades 6 and 9, but the relation was curvilinear at grade 12. The direct relation between ideals and socioeconomic status became more pronounced at grade 12. Ideal sizes were larger for Catholics than for other religious groups. The study lends at least minimal support to the notion that early socialization affects ideas about family size.     

Infant Mortality by Cause of Death: Main and Interaction Effects

We examine infant mortality among the 1980-1982 live birth cohorts in the state of Florida, specific to five categories of underlying cause of death: infections, perinatal conditions, delivery complications, congenital malformations, and sudden infant death syndrome. The gross and net effects of eight categorical and continuous independent variables, along with 11 first-order interactions, are examined with microlevel data through the use of multinomial logit regression. Findings suggest the complexity of variable effects by cause of death and indicate the simultaneous importance of biological and social factors. It is important that the pattern of interactions suggests an overall dependence of infant life chances on social circumstances. It also suggests that these effects are attenuated for some variables and causes of death at lower birth weights, probably due to advances in health care organization, access, and technology.     

Coping with Group Behaviors in Uncertain Quality Function Deployment

Quality function deployment (QFD) is a planning and problem‐solving tool gaining wide acceptance for translating customer needs (CNs) into technical attributes (TAs) of a product. It is a crucial step to derive the prioritization of TAs from CNs in QFD. However, it is not so straightforward to prioritize TAs due to two types of uncertainties: human subjective perception and user variability. The main focus of this article is to propose a group decision‐making approach to uncertain QFD with an application to a flexible manufacturing system design. The proposed approach performs computations solely based on the order‐based semantics of linguistic labels to eliminate the burden of quantifying qualitative concepts in QFD. Moreover, it incorporates the importance weights of users and the concept of fuzzy majority into aggregations of individual fuzzy preference relations of different TAs in order to model the group behaviors in QFD. Finally, based on a quantifier‐guided net flow score procedure, the proposed approach derives a priority ranking with a classification of TAs into important and unimportant ones so as to provide a better decision‐support to the decision‐maker. Due to the easiness in articulating preferential information, our approach can reduce the cognitive burden of QFD planning team and give a practical convenience in the process of QFD planning.     

Welfare reform and elderly immigrants' health insurance coverage: the roles of federal and state medicaid eligibility rules

Immigrants' access to federally-funded Medicaid became limited after welfare reform imposed restrictive noncitizen eligibility rules. This study used a representative sample from the Current Population Survey (N?=?105,873) and state-level data to examine the effects of these policy changes on elderly immigrants. Triple difference-in-differences analyses show that federal restriction of eligibility had a significantly negative association with elderly immigrants' Medicaid coverage, and generous state eligibility had significantly positive relationships with Medicaid and any health insurance coverage. Findings indicate the important role of eligibility on elderly immigrants' health insurance coverage. Results call for social workers' actions to expand elderly immigrants' Medicaid eligibility.     

The analysis of tumorigenicity data using a frailty effect

In animal tumorigenicity data, the time of occurrence of the tumor is not observed because the existence of the tumor is looked for only at either the time of death or the time of sacrifice of the animal. Such an incomplete data structure makes it difficult to investigate the impact of treatment on the occurrence of tumors. A three-state model (no tumor–tumor–death) is used to model events that occurred sequentially and to connect them. In this paper, we also employed a frailty effect to model the dependency of death on tumor occurrence. For the inference of parameters, an EM algorithm is considered. The method is applied to a real bladder tumor data set and a simulation study is performed to show the behavior of the proposed estimators.