Plates in peril

HIV/AIDS: China’s Titanic Peril

Extending Parallel Pseudo-Code Language Peril-L

In this paper, we propose to extend the Peril-L parallel pseudo-code language. The extensions added to the Peril-L are essential to express non-trivial parallel algorithms. We demonstrate the effectiveness of the extended Peril-L by showing the parallel algorithms for the Jacobi method for solving differential equations and the dynamic programming method for finding the optimal binary search tree.

Running Head: PROMISE AND PERIL Promise and Peril in Implementing Pay for Performance: A Report on Thirteen Natural Experiments

Assessing Causal Mechanistic Interactions: A Peril Ratio Index of Synergy Based on Multiplicativity

The assessments of interactions in epidemiology have traditionally been based on risk-ratio, odds-ratio or rate-ratio multiplicativity. However, many epidemiologists fail to recognize that this is mainly for statistical conveniences and often will misinterpret a statistically significant interaction as a genuine mechanistic interaction. The author adopts an alternative metric system for risk, t...

Paramedics assessing Elders at Risk for Independence Loss (PERIL): Derivation, Reliability and Comparative Effectiveness of a Clinical Prediction Rule.

OBJECTIVES We conducted a program of research to derive and test the reliability of a clinical prediction rule to identify high-risk older adults using paramedics' observations. METHODS We developed the Paramedics assessing Elders at Risk of Independence Loss (PERIL) checklist of 43 yes or no questions, including the Identifying Seniors at Risk (ISAR) tool items. We trained 1,185 paramedics f...

Estimation of a Common Effect Parameter from Follow-Up Data When There Is No Mechanistic Interaction

In a stratified analysis, the results from different strata if homogeneity assumption is met are pooled together to obtain a single summary estimate for the common effect parameter. However, the effect can appear homogeneous across strata using one measure but heterogeneous using another. Consequently, two researchers analyzing the same data can arrive at conflicting conclusions if they use dif...