[Tête de jeune fille]. IV : [estampe] ([4eme état en plusieurs plaques, imprimé en jaune, bleu et rouge]) / [gravé sous la direction de Jacob Christoph Le Blon] ; [d'après Carlo Maratti ?]

Référence bibliographique : Singer, 45

Lois de la procédure criminelle et lois pénales du royaume des Deux-Siciles / traduites par Victor Foucher ; précédées d'un aperçu sur l'organisation et la compétence de l'ordre judiciaire de ce royaume, par le même

Collection : Collection des lois civiles et criminelles des états modernes ; 4e livraison

Principaux résultats de l'étude suisse sur les DRG (étude Casemix). [Main results of the Swiss study on DRGs (Casemix Study)].

Sponsored by the Health Administrations of nine cantons, this study was conducted by the University Institute of Social and Preventive Medicine in Lausanne in order to assess how DRGs could be used within the Swiss context. A data base mainly provided by the Swiss VESKA statistics was used. The first step provided the transformation of Swiss diagnostic and intervention codes into US codes, allowing direct use of the Yale Grouper for DRG. The second step showed that the overall performance of DRG in terms of variability reduction of the length of stay was similar to the one observed in US; there are, however, problems when the homogeneity of medicotechnical procedures for DRG is considered. The third steps showed how DRG could be used as an account unit in hospital, and how costs per DRG could be estimated. Other examples of applications of DRG were examined, for example comparison of Casemix or length of stay between hospitals.

Use of Two-Part Regression Calibration Model to Correct for Measurement Error in Episodically Consumed Foods in a Single-Replicate Study Design: EPIC Case Study.

In epidemiologic studies, measurement error in dietary variables often attenuates association between dietary intake and disease occurrence. To adjust for the attenuation caused by error in dietary intake, regression calibration is commonly used. To apply regression calibration, unbiased reference measurements are required. Short-term reference measurements for foods that are not consumed daily contain excess zeroes that pose challenges in the calibration model. We adapted two-part regression calibration model, initially developed for multiple replicates of reference measurements per individual to a single-replicate setting. We showed how to handle excess zero reference measurements by two-step modeling approach, how to explore heteroscedasticity in the consumed amount with variance-mean graph, how to explore nonlinearity with the generalized additive modeling (GAM) and the empirical logit approaches, and how to select covariates in the calibration model. The performance of two-part calibration model was compared with the one-part counterpart. We used vegetable intake and mortality data from European Prospective Investigation on Cancer and Nutrition (EPIC) study. In the EPIC, reference measurements were taken with 24-hour recalls. For each of the three vegetable subgroups assessed separately, correcting for error with an appropriately specified two-part calibration model resulted in about three fold increase in the strength of association with all-cause mortality, as measured by the log hazard ratio. Further found is that the standard way of including covariates in the calibration model can lead to over fitting the two-part calibration model. Moreover, the extent of adjusting for error is influenced by the number and forms of covariates in the calibration model. For episodically consumed foods, we advise researchers to pay special attention to response distribution, nonlinearity, and covariate inclusion in specifying the calibration model.