User menu

Classification and regression tree analysis vs. multivariable linear and logistic regression methods as statistical tools for studying haemophilia

Bibliographic reference Henrard, Séverine ; Speybroeck, Niko ; Hermans, Cédric. Classification and regression tree analysis vs. multivariable linear and logistic regression methods as statistical tools for studying haemophilia. In: Haemophilia, Vol. 21, no. 6, p. 715-722 (2015)
Permanent URL
  1. Berntorp Erik, Shapiro Amy D, Modern haemophilia care, 10.1016/s0140-6736(11)61139-2
  2. Carvalhosa A. M., Henrard S., Lambert C., Hermans C., Physical and mental quality of life in adult patients with haemophilia in Belgium: the impact of financial issues, 10.1111/hae.12341
  3. COPPOLA A., CERBONE A. M., MANCUSO G., MANSUETO M. F., MAZZINI C., ZANON E., Confronting the psychological burden of haemophilia : PSYCHOLOGICAL NEEDS AND SUPPORT IN HAEMOPHILIA, 10.1111/j.1365-2516.2010.02280.x
  4. Gater A., Thomson T. A., Strandberg-Larsen M., Haemophilia B: impact on patients and economic burden of disease : , 10.1160/th11-03-0193
  5. Gringeri A., Ewenstein B., Reininger A., The burden of bleeding in haemophilia: is one bleed too many?, 10.1111/hae.12375
  6. Henrard Séverine, Devleesschauwer Brecht, Beutels Philippe, Callens Michael, De Smet Frank, Hermans Cedric, Speybroeck Niko, The health and economic burden of haemophilia in Belgium: a rare, expensive and challenging disease, 10.1186/1750-1172-9-39
  7. Siddiqi Azfar-e-Alam, Ebrahim Shahul H., Soucie J. Michael, Parker Christopher S., Atrash Hani K., Burden of Disease Resulting from Hemophilia in the U.S., 10.1016/j.amepre.2009.12.016
  8. Tripepi Giovanni, Jager Kitty J., Steel Vianda, Dekker Friedo W., Zoccali Carmine, How to Deal with Continuous and Dichotomic Outcomes in Epidemiological Research: Linear and Logistic Regression Analyses, 10.1159/000324049
  9. Cox, Analysis of Binary Data (1989)
  10. Hosmer Jr. David W., Lemeshow Stanley, Sturdivant Rodney X., Applied Logistic Regression : Hosmer/Applied Logistic Regression, ISBN:9781118548387, 10.1002/9781118548387
  11. Marill Keith A., Advanced Statistics:Linear Regression, Part II: Multiple Linear Regression, 10.1197/j.aem.2003.09.006
  13. DEN UIJL I. E. M., FISCHER K., VAN DER BOM J. G., GROBBEE D. E., ROSENDAAL F. R., PLUG I., Analysis of low frequency bleeding data: the association of joint bleeds according to baseline FVIII activity levels : ANALYSIS OF BLEEDING DATA IN HAEMOPHILIA, 10.1111/j.1365-2516.2010.02383.x
  14. Breiman, Classification and Regression Trees (1984)
  15. Marshall Roger J., The use of classification and regression trees in clinical epidemiology, 10.1016/s0895-4356(00)00344-9
  16. HENRARD S., SPEYBROECK N., HERMANS C., Body weight and fat mass index as strong predictors of factor VIII in vivo recovery in adults with hemophilia A : BW and FMI as predictors of FVIII recovery, 10.1111/j.1538-7836.2011.04431.x
  17. Henrard S., Speybroeck N., Hermans C., Impact of being underweight or overweight on factor VIII dosing in hemophilia A patients, 10.3324/haematol.2013.084038
  18. Henrard, Blood Transfus, 13, 302 (2015)
  19. Marcucci M., Mancuso M. E., Santagostino E., Kenet G., Elalfy M., Holzhauer S., Bidlingmaier C., Escuriola Ettingshausen C., Iorio A., Nowak-Göttl U., Type and intensity of FVIII exposure on inhibitor development in PUPs with haemophilia A : A patient-level meta-analysis, 10.1160/th14-07-0621
  20. Burgette L. F., Reiter J. P., Multiple Imputation for Missing Data via Sequential Regression Trees, 10.1093/aje/kwq260
  21. Speybroeck N., Classification and regression trees, 10.1007/s00038-011-0315-z
  22. Strobl Carolin, Malley James, Tutz Gerhard, An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests., 10.1037/a0016973
  23. Adams S. T., Leveson S. H., Clinical prediction rules, 10.1136/bmj.d8312
  24. Henrard, Impact of a Rare Disease on Public Health Today and Tomorrow: The Case of Haemophilia (2013)
  25. Breiman Leo, Technical note: Some properties of splitting criteria, 10.1007/bf00117831
  26. Breiman Leo, 10.1023/a:1010933404324
  27. Grömping Ulrike, Variable Importance Assessment in Regression: Linear Regression versus Random Forest, 10.1198/tast.2009.08199
  28. Friedman Jerome H., Meulman Jacqueline J., Multiple additive regression trees with application in epidemiology, 10.1002/sim.1501
  29. Bewick Viv, Cheek Liz, Ball Jonathan, 10.1186/cc2401
  30. Bewick Viv, Cheek Liz, Ball Jonathan, 10.1186/cc3045
  31. Chandran Thoovakkunon Moorkoth, Berkvens Dirk, Chikobvu Perpetual, Nöstlinger Christiana, Colebunders Robert, Williams Brian Gerard, Speybroeck Niko, Predictors of condom use and refusal among the population of Free State province in South Africa, 10.1186/1471-2458-12-381
  32. Harper Paul R., A review and comparison of classification algorithms for medical decision making, 10.1016/j.healthpol.2004.05.002
  33. Lemon Stephenie C., Roy Jason, Clark Melissa A., Friedmann Peter D., Rakowski William, Classification and regression tree analysis in public health: Methodological review and comparison with logistic regression, 10.1207/s15324796abm2603_02
  34. Protopopoff Natacha, Van Bortel Wim, Speybroeck Niko, Van Geertruyden Jean-Pierre, Baza Dismas, D'Alessandro Umberto, Coosemans Marc, Ranking Malaria Risk Factors to Guide Malaria Control Efforts in African Highlands, 10.1371/journal.pone.0008022
  35. Lewis RJ An introduction to classification and regression tree (CART) analysis 2000
  36. Slinker B. K., Glantz S. A., Multiple Linear Regression: Accounting for Multiple Simultaneous Determinants of a Continuous Dependent Variable, 10.1161/circulationaha.106.654376
  37. Suman Paul, Thys Eric, Mfoukou-Ntsakala André, Ali Laouali, Ouedraogo Mamadou, Van den Bossche Peter, Van Huylenbroeck Guido, Berkvens Dirk, Speybroeck Niko, Methodology for assessing determinants of manure use in urban areas of Africa, 10.1177/0734242x09356016
  38. Mann J. John, Ellis Steven P., Waternaux Christine M., Liu Xinhua, Oquendo Maria A., Malone Kevin M., Brodsky Beth S., Haas Gretchen L., Currier Dianne, Classification Trees Distinguish Suicide Attempters in Major Psychiatric Disorders : A Model of Clinical Decision Making, 10.4088/jcp.v69n0104
  39. Gordon L Using Classification and Regression Trees (CART) in SAS Entreprise Miner For applications in Public Health 2013
  40. The R Core Team, R: A Language and Environment For Statistical Computing (2012)
  41. van Putten W CART: Stata Module ro Perform Classification and Regression Tree Analysis 2006
  42. Thang Ngo, Erhart Annette, Speybroeck Niko, Hung Le, Thuan Le, Hung Cong, Ky Pham, Coosemans Marc, D'Alessandro Umberto, Malaria in central Vietnam: analysis of risk factors by multivariate analysis and classification tree models, 10.1186/1475-2875-7-28
  43. Dalleur Olivia, Spinewine Anne, Henrard Séverine, Losseau Claire, Speybroeck Niko, Boland Benoit, Inappropriate Prescribing and Related Hospital Admissions in Frail Older Persons According to the STOPP and START Criteria, 10.1007/s40266-012-0016-1
  44. Vaes Bert, Boland Benoit, Scavée Christophe, Henrard Séverine, Wallemacq Pierre, Van Pottelbergh Gijs, Matheï Catharina, Pasquet Agnes, Vanoverschelde Jean-Louis, Rezzoug Nawel, Speybroeck Niko, Degryse Jan, Value of Adding Natriuretic Peptides and Electrocardiographic Findings to Assess the Presence of Cardiac Dysfunction in Patients ≥80 Years of Age, 10.1016/j.amjcard.2012.12.055
  45. Fonarow Gregg C., Risk Stratification for In-Hospital Mortality in Acutely Decompensated Heart FailureClassification and Regression Tree Analysis, 10.1001/jama.293.5.572
  46. Allore Heather, Tinetti Mary E., Araujo Katy L.B., Hardy Susan, Peduzzi Peter, A case study found that a regression tree outperformed multiple linear regression in predicting the relationship between impairments and Social and Productive Activities scores, 10.1016/j.jclinepi.2004.09.001
  47. El-Solh Ali A., Sikka Pawan, Ramadan Fadi, Outcome of Older Patients with Severe Pneumonia Predicted by Recursive Partitioning, 10.1111/j.1532-5415.2001.49269.x