| scholarly article | Q13442814 |
| P2093 | author name string | D P Wagner | |
| E A Draper | |||
| W A Knaus | |||
| P2860 | cites work | The importance of beta, the type II error and sample size in the design and interpretation of the randomized control trial. Survey of 71 "negative" trials | Q34183760 |
| Assessment of outcome after severe brain damage | Q34216702 | ||
| A multivariate analysis of the risk of coronary heart disease in Framingham | Q34243631 | ||
| APACHE—acute physiology and chronic health evaluation: a physiologically based classification system | Q34283071 | ||
| Aging, natural death, and the compression of morbidity | Q34286032 | ||
| Prognosis, survival, and the expenditure of hospital resources for patients in an intensive-care unit | Q41467620 | ||
| A new coronary prognostic index | Q43898332 | ||
| Clinical trial of an algorithm for outcome prediction in acute circulatory failure. | Q44431059 | ||
| Primer on certain elements of medical decision making | Q45530901 | ||
| Improved observational method for studying therapeutic efficacy. Suggestive evidence that lidocaine prophylaxis prevents death in acute myocardial infarction | Q51864774 | ||
| Evaluating outcome from intensive care: a preliminary multihospital comparison. | Q52434241 | ||
| Discrimination between alternative binary response models. | Q53024630 | ||
| Survival, hospitalization charges and follow-up results in critically ill patients | Q67518836 | ||
| Severity of illness and the relationship between intensive care and survival | Q70302644 | ||
| Measuring severity of illness: comparisons across institutions | Q70424008 | ||
| Improvements in burn care, 1965 to 1979 | Q71369392 | ||
| A comparison of intensive care in the U.S.A. and France | Q72533174 | ||
| P433 | issue | 8 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | statistics | Q12483 |
| P304 | page(s) | 878-884 | |
| P577 | publication date | 1983-08-01 | |
| P1433 | published in | American Journal of Public Health | Q4744266 |
| P1476 | title | Statistical validation of a severity of illness measure. | |
| P478 | volume | 73 |
| Q69515360 | A new scoring system for disease intensity in a surgical intensive care unit |
| Q34448631 | A rapid screening tool for psychological distress in children 3-6years old: results of a validation study |
| Q51641140 | APACHE II scoring system on a general intensive care unit: audit of daily APACHE II scores and 6-month survival of 691 patients admitted to a general intensive care unit between May 1990 and December 1991. |
| Q46265486 | APACHE II: Prediction of outcome of 451 ICU oncology admissions in a community hospital |
| Q34329331 | Acute physiology and chronic health evaluation (APACHE II) and Medicare reimbursement |
| Q91904608 | An attempt at measuring health in nucleus and multiplier pig farms |
| Q52899456 | An electroencephalographic classification for coma. |
| Q35931435 | Audit of critical care: aims, uses, costs and limitations of a Canadian system |
| Q35028914 | Candidemia in the critically ill: initial therapy and outcome in mechanically ventilated patients |
| Q67987407 | Comparison of multiple-parameter prognostic systems in acute pancreatitis |
| Q34329336 | Disease staging: implications for hospital reimbursement and management |
| Q46819009 | Dynamic Risk Assessment in Intensive Care: Development and Use. |
| Q33701109 | Evaluating prognostic factors: implications for measurement of health care outcome |
| Q50862054 | Factors influencing intensive care unit survival for critically ill elderly patients. |
| Q40787851 | Fever in hospitalized medical patients: characteristics and significance |
| Q47596079 | Health assessment in the Framingham Offspring Study: a research proposal |
| Q46785505 | Hospital Length of Stay, Severity of Illness, and Admission Clinical Lab Test Data |
| Q33369556 | Impact of empiric antimicrobial therapy on outcomes in patients with Escherichia coli and Klebsiella pneumoniae bacteremia: a cohort study |
| Q42942107 | Incorporating severity of illness and comorbidity in case-mix measurement. |
| Q40989906 | Intentional drug overdose: predictors of clinical course in the intensive care unit |
| Q35564897 | Mapping physicians' admission diagnoses to structured concepts towards fully automatic calculation of acute physiology and chronic health evaluation score |
| Q39527818 | Measurement of severity of illness and the Medicare prospective payment system: state of the art and future directions |
| Q61628676 | Needs of family members of intensive care unit patients |
| Q67981288 | Nursing care classification: a conceptual model |
| Q44025798 | Prognostic index: prediction of operative mortality in geriatric patients by use of stepwise logistic regression analysis |
| Q53435473 | Quality of life of elderly patients after treatment in the ICU. |
| Q33724791 | Relationship between patient race and survival following admission to intensive care among patients of primary care physicians |
| Q44136341 | Results of a multicenter trial comparing imipenem/cilastatin to tobramycin/clindamycin for intra-abdominal infections |
| Q36838692 | Risk factors for hospitalization among community-dwelling primary care older patients: development and validation of a predictive model |
| Q39219938 | Screening for psychological difficulties in young children in crisis: complementary cross-cultural validation |
| Q34496641 | Sepsis progression and outcome: a dynamical model |
| Q51777620 | Severity of illness and outcome of treatment in alcoholic patients in the intensive care unit. |
| Q41360646 | Standards for the use of ordinal scales in clinical trials |
| Q67999025 | Stroke assessment scales: guidelines for development, validation, and reliability assessment |
| Q70355319 | The value of measuring severity of disease in clinical research on acutely ill patients |
| Q36634231 | To develop a regional ICU mortality prediction model during the first 24 h of ICU admission utilizing MODS and NEMS with six other independent variables from the Critical Care Information System (CCIS) Ontario, Canada |
| Q69418076 | Validation of a severity of illness score (APACHE II) in a surgical intensive care unit |
| Q34329324 | Variation in resource use within diagnosis-related groups: the severity issue |
| Q30666114 | What does the medical record reveal about functional status? A comparison of medical record and interview data |
| Q79788832 | [Care grading in Intensive Medicine: Intermediate Care Units] |
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