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F. Harrell, R. Califf, D. Pryor, K. Lee, R. Rosati (1982)
Evaluating the yield of medical tests.JAMA, 247 18
J. Hanley, B. McNeil (1982)
The meaning and use of the area under a receiver operating characteristic (ROC) curve.Radiology, 143 1
Titterington Titterington, Murray Murray, Spiegelhalter Spiegelhalter, Skene Skene, Habbema Habbema, Gelpke Gelpke (1981)
Comparison of discrimination techniques applied to a complex data set of head injured patients (with DiscussionJournal of the Royal Statistical Society, Series A, 144
J. Aitchison, J. Habbema, J. Kay (1977)
A critical comparison of two methods of statistical discriminationApplied statistics, 26
Shapiro Shapiro (1977)
The evaluation of clinical predictions. A method and initial applicationNew England Journal of Medicine, 296
J. Yates, Glenn Brier (1982)
External correspondence: Decompositions of the mean probability scoreOrganizational Behavior and Human Performance, 30
S. Pauker, V. Dunn (1986)
An Ambiguous Renal Cyst in a Patient with a Prior NephrectomyMedical Decision Making, 6
A. Feinstein (1977)
XXXIX. The haze of Bayes, the aerial palaces of decision analysis, and the computerized Ouija boardClinical Pharmacology & Therapeutics, 21
Feinstein Feinstein (1977)
Clinical biostatistics XXXIX. The haze of Bayes, the aerial palaces of decision analysis, and the computerised Ouija boardClinical Pharmacology and Therapeutics, 21
Copas Copas (1983)
Regression, prediction and shrinkage (with DiscussionJournal of the Royal Statistical Society, Series B, 45
S. Pauker, J. Kassirer (1980)
The threshold approach to clinical decision making.The New England journal of medicine, 302 20
C. Jennison, C. Jennison, Bruce Turnbull, B. Turnbull (1984)
Repeated confidence intervals for group sequential clinical trials.Controlled clinical trials, 5 1
Mendelow Mendelow, Teasdale Teasdale, Jennett Jennett, Bryden Bryden, Hessett Hessett, Murray Murray (1983)
Risks of intracranial haematoma in head injured patientsBritish Medical Journal, 287
D. Titterington, G. Murray, L. Murray, D. Spiegelhalter, A. Skene, J. Habbema, G. Gelpke (1981)
Comparison of Discrimination Techniques Applied to a Complex Data Set of Head Injured Patients, 144
S. Epstein (1980)
Implications of probability analysis on the strategy used for noninvasive detection of coronary artery disease. Role of single or combined use of exercise electrocardiographic testing, radionuclide cineangiography and myocardial perfusion imaging.The American journal of cardiology, 46 3
Jennett Jennett (1984)
Guidelines for initial management after head injury in adultsBritish Medical Journal, 288
J. Copas (1983)
Regression, Prediction and ShrinkageJournal of the royal statistical society series b-methodological, 45
J. Habbema, J. Hermans (1977)
Selection of Variables in Discriminant Analysis by F-statistic and Error RateTechnometrics, 19
R. Zagoria, J. Reggia (1983)
Transferability of Medical Decision Support Systems Based on Bayesian ClassificationMedical Decision Making, 3
S. Bean, C. Tsokos (1980)
Developments in Nonparametric Density-EstimationInternational Statistical Review, 48
Lindley Lindley (1978)
The Bayesian approachScandinavian Journal of Statistics, 5
David Lindley (1982)
Scoring rules and the inevitability of probability
R. Winkler (1969)
Scoring Rules and the Evaluation of Probability AssessorsJournal of the American Statistical Association, 64
D. Spiegelhalter, L. Freedman (1986)
A predictive approach to selecting the size of a clinical trial, based on subjective clinical opinion.Statistics in medicine, 5 1
John Douglas, David Spiegelhalter (1984)
To catheterise or not to catheterise? An approach based on decision theory.British Heart Journal, 51
G. Box (1980)
Sampling and Bayes' inference in scientific modelling and robustness, 143
J. Copas (1983)
Plotting p against xJournal of The Royal Statistical Society Series C-applied Statistics, 32
J. Hilden, J. Habbema, B. Bjerregaard (1978)
The measurement of performance in probabilistic diagnosis. III. Methods based on continuous functions of the diagnostic probabilities.Methods of information in medicine, 17 4
S. Geisser (1982)
Aspects of the Predictive and Estimative Approaches in the Determination of ProbabilitiesBiometrics, 38
L. Freedman, D. Lowe, P. Macaskill (1984)
Stopping rules for clinical trials incorporating clinical opinion.Biometrics, 40 3
M. Hlatky, E. Botvinick, B. Brundage (1982)
Diagnostic accuracy of cardiologists compared with probability calculations using Bayes' rule.The American journal of cardiology, 49 8
D. Spiegelhalter, L. Freedman, P. Blackburn (1986)
Monitoring clinical trials: conditional or predictive power?Controlled clinical trials, 7 1
D. Cox (1958)
Two further applications of a model for binary regressionBiometrika, 45
A. Feinstein (1983)
An additional basic science for clinical medicine: I. The constraining fundamental paradigms.Annals of internal medicine, 99 3
A. Murphy, R. Winkler (1984)
Probability Forecasting in MeteorologyJournal of the American Statistical Association, 79
A. Murphy, R. Winkler (1977)
Reliability of Subjective Probability Forecasts of Precipitation and TemperatureJournal of The Royal Statistical Society Series C-applied Statistics, 26
Dunn Dunn, Pauker Pauker (1986)
An ambiguous renal cyst in a patient with a prior nephrectomy: what to do when there is only one more to loseMedical Decision Making, 6
Epstein Epstein (1980)
Implications of probability analysis on the strategy used for non‐invasive detection of coronary artery diseaseAmerican Journal of Cardiology, 46
L. Breiman, D. Freedman (1983)
How Many Variables Should Be Entered in a Regression EquationJournal of the American Statistical Association, 78
D. Spiegelhalter (1982)
Statistical Aids in Clinical Decision-makingThe Statistician, 31
L. Freedman, D. Spiegelhalter (1983)
The Assessment of the Subjective Opinion and its Use in Relation to Stopping Rules for Clinical TrialsThe Statistician, 32
F. Harrell, Kerry Lee, R. Califf, D. Pryor, R. Rosati (1984)
Regression modelling strategies for improved prognostic prediction.Statistics in medicine, 3 2
A. Mendelow, G. Teasdale, B. Jennett, J. Bryden, C. Hessett, G. Murray (1983)
Risks of intracranial haematoma in head injured adults.British Medical Journal (Clinical research ed.), 287
D. Spiegelhalter, R. Knill-Jones (1984)
Statistical and Knowledge‐Based Approaches to Clinical Decision‐Support Systems, with an Application in Gastroenterology, 147
It is argued that the provision of accurate and useful probabilistic assessments of future events should be a fundamental task for biostatisticians collaborating in clinical or experimental medicine, and we explore two aspects of obtaining and evaluating such predictions. When covariate information on patients is available, logistic regression and other multivariate techniques are often used to select prognostic factors and create predictive models. An example shows how the explicit aim of prediction needs to be taken into account in such modelling, and how predictive performance may be assessed by decomposition of a scoring rule. Secondly, results from a program that provides pretrial and interim predictions in clinical trials are displayed, bringing together the use of subjective opinion, Bayesian methodology and techniques for evaluating and criticizing predictions.
Statistics in Medicine – Wiley
Published: Sep 1, 1986
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