Dissociating selectivity adjustments from temporal learning-introducing the context-dependent proportion congruency effect.

The list-level proportion congruency effect (PCE) and the context-specific PC (CSPC) effect are typical findings in experimental conflict protocols, which competing explanations attribute to different mechanisms. Of these mechanisms, stimulus-unspecific conflict-induced selectivity adjustments have attracted the most interest, from various disciplines. Recent methodological advances have yielded an experimental procedure for entirely ruling out all stimulus-specific alternatives.

Quicker detection risk-adjusted cumulative sum charting procedures.

When a patient is operated on, the surgical outcome depends on two major factors: (i) the patient's health condition and (ii) the surgical process comprising the surgeon, the supporting staff, operating environment, and equipment. An outcome is usually represented by one if a patient dies within 30 days of an operation and zero otherwise. Another method of measuring the outcome is to use survival time with truncation on the 30th day for monitoring purposes.

Risk-adjusted CUSUM charts under model error.

In recent years, quality control charts have been increasingly applied in the healthcare environment, for example, to monitor surgical performance. Risk-adjusted cumulative (CUSUM) charts that utilize risk scores like the Parsonnet score to estimate the probability of death of a patient from an operation turn out to be susceptible to misfitted risk models causing deterioration of the charts' properties, in particular, the false alarm behavior. Our approach considers the application of power transformations in the logistic regression model to improve the fit to the binary outcome data.

A simple signaling rule for variable life-adjusted display derived from an equivalent risk-adjusted CUSUM chart.

The variable life-adjusted display (VLAD) is the first risk-adjusted graphical procedure proposed in the literature for monitoring the performance of a surgeon. It displays the cumulative sum of expected minus observed deaths. It has since become highly popular because the statistic plotted is easy to understand.

Industry-sponsored economic studies in critical and intensive care versus studies sponsored by nonprofit organizations.

The purpose of this analysis of health economic studies in the field of intensive and critical care was to investigate whether any relationship could be established between type of sponsorship and (1) type of economic analysis, (2) health technology assessed, (3) sensitivity analysis performed, (4) publication status, and (5) qualitative cost assessment. Using the terms critical care or intensive care, all health economics publications in the field of critical and intensive care were identified in the Health Economic Evaluations Database (HEED, Version 1995-2001) on the basis of sponsorship and comparative studies. This search yielded a total of 42 eligible articles.