1,720,994 research outputs found
Asssessing sensitivity analysis in patient satisfaction: a case study from "Luigi Sacco" Hospital
No full textDespite of the recognized relevance of conceptual models as a theoretical reference in patient satisfaction studies, in some practical circumstances they are too complex to be applied. This is particularly true when patients are aged, so that higher risks of misunderstanding and consequent biased answers would suggest employing simpler data collecting procedures. These considerations suggest the importance of employing statistical methods capable to deal with data collected according to quality evaluation systems that are necessarily simplified. By starting from a survey carried out experimentally on a set of patients admitted in 2003 at Sacco Hospital in Milan, in this work we have relied on a combination of statistical methods for: 1) constructing patient typologies, by using some indicators of clinical picture complexity, effectiveness of given treatments and perceived quality, this latter in the binary form Satisfied/Not satisfied; 2) performing a sensitivity analysis, to assess if results derived from analysis are sufficiently stable, and then reliable; 3) carrying out a more thorough inspection on the underlying data structure by referring to the results derived from sensitivity analysis
Statistical calibration for the evaluation of public services : a non-standard approach for quality measurement
No full textRelazioni fra comportamento elettorale e variabili socio-demografiche: una proposta di analisi
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On the variability of maximum likelihood estimators in multilevel models with MEP distributed random effects
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ASTEP 2001 - Analisi Statistica Territoriale Delle Elezioni Politiche 2001 in Lombardia e Confronto con le Elezioni Regionali 2000
No full textMay autonomic indices from cardiovascular variability help identify hypertension?
No full textIntroduction: Altered profile of RR variability and reduced baroreflex gain, as autonomic proxies, are observed in hypertensive individuals. Aim: To assess whether using logistic models and cross-validation techniques autonomic proxies can be used to identify clinical hypertensive and normotensive groups. Methods: An observational study on 405 individuals (155 mild hypertensive and 250 controls). We used four steps for statistical analysis: preliminary descriptive statistics; logistic regression modelling; detection of best parsimonious set of variables; and concordance analysis between clinical and autonomic hypertension profile. Results: Accuracy index (rate of correct identifications of normotensive and hypertensive states), computed on each of the four gradually more complex logistic models (from A to D), reached its highest value (82.7%), in the most complete model D, including autonomic nervous system indices (RR variability and baroreflex gain), age and sex. Measures of predictive performance increased from the simplest model to the most complex one [model D, positive predictive value (PPV)=0.767, negative predictive value (NPV)=0.866], with higher specificity than sensitivity. A parsimonious set of autonomic proxies (Mean RR, ΔRRLFnu-i.e. change from rest to standing up-baroreflex gain combined with age and sex) led to an accuracy index of 80.5%, thus proving to have discriminant and predictive powers in detecting hypertension very similar to the whole set of the explicative variables comprised in the complete model D. Conclusion: The clinical value of the observation that the information collectively carried by a small subset of indirect autonomic proxies may identify either hypertensive or normotensive groups needs to be further investigated
Robustness of Parameter Estimation Procedures in Multilevel Models When Random Effects are MEP Distributed
No full textHierarchical data, ML and REML estimation, Multivariate exponential power distribution,
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