Polytomous logistic regression analysis could be applied more often in diagnostic research

Feinstein, 1985 Moons, 2002, Diagnostic studies as multivariable, prediction research, J Epidemiol Community Health, 56, 337, 10.1136/jech.56.5.337 Sackett, 1985 Wells, 1998, A simple clinical model for the diagnosis of deep-vein thrombosis combined with impedance plethysmography: potential for an improvement in the diagnostic process, J Intern Med, 243, 15, 10.1046/j.1365-2796.1998.00249.x Begg, 1984, Calculation of polychotomous logistic regression parameters using individualized regressions, Biometrika, 71, 11, 10.2307/2336391 Wijesinha, 1983, Methodology for the differential diagnosis of a complex data set. A case study using data from routine CT scan examinations, Med Decis Making, 3, 133, 10.1177/0272989X8300300202 Bender, 1998, Using binary logistic regression models for ordinal data with non-proportional odds, J Clin Epidemiol, 51, 809, 10.1016/S0895-4356(98)00066-3 Steyerberg, 1995, Prediction of residual retroperitoneal mass histology after chemotherapy for metastatic nonseminomatous germ cell tumor: multivariate analysis of individual patient data from six study groups, J Clin Oncol, 13, 1177, 10.1200/JCO.1995.13.5.1177 Steyerberg, 1998, Validity of predictions of residual retroperitoneal mass histology in nonseminomatous testicular cancer, J Clin Oncol, 16, 269, 10.1200/JCO.1998.16.1.269 Vergouwe, 2003, External validity of a prediction rule for residual mass histology in testicular cancer: an evaluation for good prognosis patients, Br J Cancer, 88, 843, 10.1038/sj.bjc.6600759 Vergouwe, 2001, Validation of a prediction model and its predictors for the histology of residual masses in nonseminomatous testicular cancer, J Urol, 165, 84, 10.1097/00005392-200101000-00021 Steyerberg, 2001, Residual mass histology in testicular cancer: development and validation of a clinical prediction rule, Stat Med, 20, 3847, 10.1002/sim.915 Steyerberg, 1994, Predictors of residual mass histology following chemotherapy for metastatic non-seminomatous testicular cancer: a quantitative overview of 996 resections, Eur J Cancer, 30A, 1231, 10.1016/0959-8049(94)90164-3 Agresti, 1996 Harrell, 2001 Hanley, 1982, The meaning and use of the area under a receiver operating characteristic (ROC) curve, Radiology, 143, 29, 10.1148/radiology.143.1.7063747 Hilden, 1978, The measurement of performance in probabilistic diagnosis. III. Methods based on continuous functions of the diagnostic probabilities, Methods Inf Med, 17, 238, 10.1055/s-0038-1636443 Ash, 1999, R2: a useful measure of model performance when predicting a dichotomous outcome, Stat Med, 18, 375, 10.1002/(SICI)1097-0258(19990228)18:4<375::AID-SIM20>3.0.CO;2-J Steyerberg, 1996, Resection of residual retroperitoneal masses in testicular cancer: evaluation and improvement of selection criteria. The ReHiT study group. Re-analysis of histology in testicular cancer, Br J Cancer, 74, 1492, 10.1038/bjc.1996.571 Steyerberg, 1999, Resection of small, residual retroperitoneal masses after chemotherapy for nonseminomatous testicular cancer: a decision analysis, Cancer, 85, 1331, 10.1002/(SICI)1097-0142(19990315)85:6<1331::AID-CNCR16>3.0.CO;2-I Shrout, 1979, Intraclass correlations: uses in assessing rater reliability, Psychol Bull, 68, 240 Marshall, 1985, Hypothesis testing in the polychotomous logistic model with an application to detecting gastrointestinal cancer, Stat Med, 4, 337, 10.1002/sim.4780040313 Flack, 1987, Frequency of selecting noise variables in subset regression: a simulation study, Am Statistician, 41, 84, 10.2307/2684336 Harrell, 1985, Regression models for prognostic prediction: advantages, problems, and suggested solutions, Cancer Treat Rep, 69, 1071 Peduzzi, 1996, A simulation study of the number of events per variable in logistic regression analysis, J Clin Epidemiol, 49, 1373, 10.1016/S0895-4356(96)00236-3 Steyerberg, 1999, Stepwise selection in small data sets: a simulation study of bias in logistic regression analysis, J Clin Epidemiol, 52, 935, 10.1016/S0895-4356(99)00103-1 Steyerberg, 2001, Prognostic modeling with logistic regression analysis: in search of a sensible strategy in small data sets, Med Decis Making, 21, 45, 10.1177/0272989X0102100106 Harrell, 1996, Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors, Stat Med, 15, 361, 10.1002/(SICI)1097-0258(19960229)15:4<361::AID-SIM168>3.0.CO;2-4 Justice, 1999, Assessing the generalizability of prognostic information, Ann Intern Med, 130, 515, 10.7326/0003-4819-130-6-199903160-00016 Wasson, 1985, Clinical prediction rules. Applications and methodological standards, N Engl J Med, 313, 793, 10.1056/NEJM198509263131306 Efron, 1986, Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy, Stat Sci, 1, 54, 10.1214/ss/1177013815 Efron, 1993 Houwelingen van, 2001, Shrinkage and penalized likelihood methods to improve diagnostic accuracy, Stat Neerl, 55, 17, 10.1111/1467-9574.00154