Subjective Recognition of Emotional Expressions in Face Transplant Patients

One of the most prevalent problems in face transplant patients is an inability to generate facial expression of emotions. The purpose of this study was to measure the subjective recognition of patients’ emotional expressions by other people. We examined facial expression of six emotions in two facial transplant patients (patient A = partial, patient B = full) and one healthy control using video clips to evoke emotions. We recorded target subjects’ facial expressions with a video camera while they were watching the clips. These were then shown to a panel of 130 viewers and rated in terms of degree of emotional expressiveness on a 7-point Likert scale. The scores for emotional expressiveness were higher for the healthy control than they were for patients A and B, and these varied as a function of emotion. The most recognizable emotion was happiness. The least recognizable emotions in Patient A were fear, surprise, and anger. The expressions of Patient B scored lower than those of Patient A and the healthy control. The findings show that partial and full-face transplant patients may have difficulties in generating facial expression of emotions even if they can feel those emotions, and different parts of the face seem to play critical roles in different emotional expressions.     

Modeling binary responses with stochastic covariates

In a traditional binary regression model, covariates are assumed to be fixed by design. In practice, however, they are most likely to be stochastic and non-normally distributed. We develop modified maximum likelihood estimators for such situations. We show that these estimators are more efficient than the traditional binary regression estimators and robust to data anomalies. We illustrate our results using a real life example.     

Preventing and Diagnosing Colorectal Cancer with a Limited Colonoscopy Resource

This paper explores how the capacity of colonoscopy services should be allocated for screening and diagnosis of colorectal cancer to improve health outcomes. Both of these services are important since screening prevents cancer by removing polyps, while diagnosis is required to start treatment for cancer. This paper first presents a basic compartmental model to illustrate the trade‐off between these two analytically. Further, a more realistic population dynamics model with resource constraints is introduced for colorectal cancer screening and analyzed numerically. The best resource allocation decisions are investigated with the objectives of minimizing mortality or incidence rates. We provide a sensitivity analysis with respect to policy and disease‐related parameters. We conclude that to minimize mortality, the capacity should be rationed to ensure that the wait for diagnosis is at reasonable levels. When the relevant performance measure is the incidence rate, screening is allocated more capacity compared to the case with mortality rate measure. We also show that benefits from increasing compliance to screening programs can only be realized if there is sufficient service capacity.     

The Widening Education Gap in Developmental Child Care Activities in the United States, 1965–2013

Past research shows that time spent in developmental care activities has been increasing in the United States over recent decades, yet little is known about how this increase is distributed across parents with different levels of education. Have children born into different socioeconomic groups been receiving increasingly equal developmental care from their parents, or is the distribution of parental time investment becoming more unequal? To answer this question, the author analyzed the American Heritage Time Use Study (1965–2013) and showed that the gap between high‐ and low‐educated parents' time investment in developmental child care activities has widened. An increasing absence of fathers in households with low‐educated mothers has exacerbated the trend. This study documents growing inequality in parental time inputs in developmentally salient child care activities in the United States.