PubMed · 11634654
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H H Egglmaier. 1982. [Not Available].. https://pubmed.ncbi.nlm.nih.gov/11634654/
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Measures of the predictive accuracy of regression models quantify the extent to which covariates determine an individual outcome. Explained variation measures the relative gains in predictive accuracy when prediction based on covariates replaces unconditional prediction. A unified concept of predictive accuracy and explained variation based on the absolute prediction error is presented for models with continuous, binary, polytomous and survival outcomes. The measures are given both in a model-based formulation and in a formulation directly contrasting observed and expected outcomes. Various aspects of application are demonstrated by examples from three forms of regression models. It is emphasized that the likely degree of absolute or relative predictive accuracy often is low even if there are highly significant and relatively strong covariates.
The authors give an overview on renal autotransplantation on occasion of Emerich (Imre) Ullmann's pioneer operation 100 years ago. Ullmann was born in 1861 in Pécs, Hungary. After finishing the Vienna Medical School, he worked on the I. Surgical Clinic of the University of Vienna. In 1902, already as the chief of surgery of a Vienna hospital he successfully performed canine kidney autotransplantation, later also technically successful allo- and xenotransplantation. Human renal autotransplantations have been performed since the early 1960's mainly because of renovascular hypertension/aneurysm or ureter injuries or tumor. Rare indications are the loin pain-hematuria syndrome, echinococcosis of the kidney, the nutcracker syndrome, ureteroarterial fistula and there are reports about allograft autotransplantations also. Lately, laparoscopy gained place and nephrectomies are done more often minimally invasive. In Hungary twenty-four cases of kidney autotransplantation were performed.