Recursive partitioning
Recursive partitioning is a statistical method for multivariable analysis.[1] Recursive partitioning creates a decision tree that strives to correctly classify members of the population based on several dichotomous dependent variables.
This article focuses on recursive partitioning for medical diagnostic tests, but the technique has far wider applications. See decision tree.
As compared to regression analyses that creates a formula that health care providers can use to calculate the probability that a patient has a disease, recursive partition creates a rule such as 'If a patient has finding x, y, or z they probably have disease q.
A variation is 'Cox linear recursive partitioning'.[2]
Advantages and disadvantages
Compared to other multivariable methods, recursive partitioning has advantages and disadvantages.
- Advantages are:
- Generates clinically more intuitive models that do not require the user to perform calculations.[3]
- Allows varying prioritizing of missclassifications in order to create a decision rule that has more sensitivity or specificity.[2]
- May be more accurate.[4]
- Disadvantages are:
- Does not work well for continuous variables[5]
- May overfit data.
Examples
Examples are available of using recursive partitioning in research of diagnostic tests.[6][7][8][9][10][11] Goldman used recursive partitioning to prioritize sensitivity in the diagnosis of myocardial infarction among patients with chest pain in the emergency room.[11]
References
- ^ Breiman, Leo (1984). Classification and Regression Trees. Boca Raton: Chapman & Hall/CRC. ISBN 0-412-04841-8.
- ^ a b Cook EF, Goldman L (1984). "Empiric comparison of multivariate analytic techniques: advantages and disadvantages of recursive partitioning analysis". Journal of chronic diseases. 37 (9–10): 721–31. doi:10.1016/0021-9681(84)90041-9. PMID 6501544.
- ^ James KE, White RF, Kraemer HC (2005). "Repeated split sample validation to assess logistic regression and recursive partitioning: an application to the prediction of cognitive impairment". Statistics in medicine. 24 (19): 3019–35. doi:10.1002/sim.2154. PMID 16149128.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Kattan MW, Hess KR, Beck JR (1998). "Experiments to determine whether recursive partitioning (CART) or an artificial neural network overcomes theoretical limitations of Cox proportional hazards regression". Comput. Biomed. Res. 31 (5): 363–73. doi:10.1006/cbmr.1998.1488. PMID 9790741.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Lee JW, Um SH, Lee JB, Mun J, Cho H (2006). "Scoring and staging systems using cox linear regression modeling and recursive partitioning". Methods of information in medicine. 45 (1): 37–43. PMID 16482368.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Fonarow GC, Adams KF, Abraham WT, Yancy CW, Boscardin WJ (2005). "Risk stratification for in-hospital mortality in acutely decompensated heart failure: classification and regression tree analysis". JAMA. 293 (5): 572–80. doi:10.1001/jama.293.5.572. PMID 15687312.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Stiell IG, Wells GA, Vandemheen KL; et al. (2001). "The Canadian C-spine rule for radiography in alert and stable trauma patients". JAMA. 286 (15): 1841–8. doi:10.1001/jama.286.15.1841. PMID 11597285.
{{cite journal}}: Explicit use of et al. in:|author=(help)CS1 maint: multiple names: authors list (link) - ^ Haydel MJ, Preston CA, Mills TJ, Luber S, Blaudeau E, DeBlieux PM (2000). "Indications for computed tomography in patients with minor head injury". N. Engl. J. Med. 343 (2): 100–5. doi:10.1056/NEJM200007133430204. PMID 10891517.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Edworthy SM, Zatarain E, McShane DJ, Bloch DA (1988). "Analysis of the 1982 ARA lupus criteria data set by recursive partitioning methodology: new insights into the relative merit of individual criteria". J. Rheumatol. 15 (10): 1493–8. PMID 3060613.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Stiell IG, Greenberg GH, Wells GA; et al. (1996). "Prospective validation of a decision rule for the use of radiography in acute knee injuries". JAMA. 275 (8): 611–5. doi:10.1001/jama.275.8.611. PMID 8594242.
{{cite journal}}: Explicit use of et al. in:|author=(help)CS1 maint: multiple names: authors list (link) - ^ a b Goldman L, Weinberg M, Weisberg M; et al. (1982). "A computer-derived protocol to aid in the diagnosis of emergency room patients with acute chest pain". N. Engl. J. Med. 307 (10): 588–96. doi:10.1056/NEJM198209023071004. PMID 7110205.
{{cite journal}}: Explicit use of et al. in:|author=(help)CS1 maint: multiple names: authors list (link)
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