A nomogram was developed to enhance the use of multinomial logistic regression modeling in diagnostic research
Tài liệu tham khảo
Steyerberg, 2009
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
Begg, 1984, Calculation of polychotomous logistic regression parameters using individualized regressions, Biometrika, 71, 11, 10.2307/2336391
Biesheuvel, 2008, Polytomous logistic regression analysis could be applied more often in diagnostic research, J Clin Epidemiol, 61, 125, 10.1016/j.jclinepi.2007.03.002
Roukema, 2008, Polytomous regression did not outperform dichotomous logistic regression in diagnosing serious bacterial infections in febrile children, J Clin Epidemiol, 61, 135, 10.1016/j.jclinepi.2007.07.005
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
Hosmer, 2000
Padeletti, 2008, Coexistent chronic obstructive pulmonary disease and heart failure in the elderly, Int J Cardiol, 125, 209, 10.1016/j.ijcard.2007.12.001
Rutten, 2005, Recognising heart failure in elderly patients with stable chronic obstructive pulmonary disease in primary care: cross sectional diagnostic study, BMJ, 331, 1379, 10.1136/bmj.38664.661181.55
Rutten, 2006, Heart failure and chronic obstructive pulmonary disease: an ignored combination?, Eur J Heart Fail, 8, 706, 10.1016/j.ejheart.2006.01.010
Moons, 2015, Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration, Ann Intern Med, 162, W1, 10.7326/M14-0698
van Mourik, 2012, Triage of frail elderly with reduced exercise tolerance in primary care (TREE). A clustered randomized diagnostic study, BMC Public Health, 12, 385, 10.1186/1471-2458-12-385
van Mourik, 2014, Unrecognized heart failure and chronic obstructive pulmonary disease (COPD) in frail elderly detected through a near-home targeted screening strategy, J Am Board Fam Med, 27, 811, 10.3122/jabfm.2014.06.140045
Broekhuizen, 2009, The diagnostic value of history and physical examination for COPD in suspected or known cases: a systematic review, Fam Pract, 26, 260, 10.1093/fampra/cmp026
Broekhuizen, 2012, Accuracy of symptoms, signs, and C-reactive protein for early chronic obstructive pulmonary disease, Br J Gen Pract, 62, e632, 10.3399/bjgp12X654605
Kelder, 2011, The diagnostic value of physical examination and additional testing in primary care patients with suspected heart failure, Circulation, 124, 2865, 10.1161/CIRCULATIONAHA.111.019216
Mant, 2009, Systematic review and individual patient data meta-analysis of diagnosis of heart failure, with modelling of implications of different diagnostic strategies in primary care, Health Technol Assess, 13, 1, 10.3310/hta13320
Oudejans, 2011, Clinical evaluation of geriatric outpatients with suspected heart failure: value of symptoms, signs, and additional tests, Eur J Heart Fail, 13, 518, 10.1093/eurjhf/hfr021
Roalfe, 2012, Development and initial validation of a simple clinical decision tool to predict the presence of heart failure in primary care: the MICE (Male, Infarction, Crepitations, Edema) rule, Eur J Heart Fail, 14, 1000, 10.1093/eurjhf/hfs089
Donders, 2006, Review: a gentle introduction to imputation of missing values, J Clin Epidemiol, 59, 1087, 10.1016/j.jclinepi.2006.01.014
Marshall, 2009, Combining estimates of interest in prognostic modelling studies after multiple imputation: current practice and guidelines, BMC Med Res Methodol, 9, 57, 10.1186/1471-2288-9-57
Hand, 2001, A simple generalisation of the area under the ROC curve for multiple class classification problems, Machine Learn, 45, 171, 10.1023/A:1010920819831
van Calster, 2012, Assessing the discriminative ability of risk models for more than two outcome categories, Eur J Epidemiol, 27, 761, 10.1007/s10654-012-9733-3
Marshall, 1985, Hypothesis testing in the polychotomous logistic model with an application to detecting gastrointestinal cancer, Stat Med, 4, 337, 10.1002/sim.4780040313