Classification tree analysis: a statistical tool to investigate risk factor interactions with an example for colon cancer (United States)
about
sameAs
Transcription factor 7-like 2 polymorphism and colon cancerObesity and cancer: at the crossroads of cellular metabolism and proliferationEffect of diet, life style, and other environmental/chemopreventive factors on colorectal cancer development, and assessment of the risksIL6 genotypes and colon and rectal cancerChanging population characteristics, effect-measure modification, and cancer risk factor identificationClassification tree analysis of second neoplasms in survivors of childhood cancer.Diet and lifestyle factors and risk of subtypes of esophageal and gastric cancers: classification tree analysis.Comparing 3 dietary pattern methods--cluster analysis, factor analysis, and index analysis--With colorectal cancer risk: The NIH-AARP Diet and Health StudyHealth in elite sports from a salutogenetic perspective: athletes' sense of coherenceConvergence of hormones, inflammation, and energy-related factors: a novel pathway of cancer etiology.Calcium, vitamin D, VDR genotypes, and epigenetic and genetic changes in rectal tumors.Colon tumor mutations and epigenetic changes associated with genetic polymorphism: insight into disease pathways.A novel evolution-based method for detecting gene-gene interactions.Genetic variation in a metabolic signaling pathway and colon and rectal cancer risk: mTOR, PTEN, STK11, RPKAA1, PRKAG2, TSC1, TSC2, PI3K and Akt1.Variation in the CYP19A1 gene and risk of colon and rectal cancer.Diagnostic cellular abnormalities in neoplastic and non-neoplastic lesions of the epidermis: a morphological and statistical study.Tumor markers and rectal cancer: support for an inflammation-related pathway.Analysis of risk factors and their interactions in type 2 diabetes mellitus: A cross-sectional survey in Guilin, China.Classification and regression trees for epidemiologic research: an air pollution example.Classification tree analysis to examine influences on colorectal cancer screening.Identification of immune correlates of protection in Shigella infection by application of machine learning.The development of a population-level clinical screening tool for self-harm repetition and suicide: the ReACT Self-Harm Rule.Applying multilevel model to the relationship of dietary patterns and colorectal cancer: an ongoing case-control study in Córdoba, Argentina.Collaborative evaluation and management of students' health-related physical fitness: applications of cluster analysis and the classification tree.External validation of risk prediction models for incident colorectal cancer using UK Biobank.Risk factors for race-day fatality in flat racing Thoroughbreds in Great Britain (2000 to 2013).Why are some groups physically active and others not? A contrast group analysis in leisure settings.Florida Populations Most at Risk of Not Being Up to Date With Colorectal Cancer Screening.Heterogeneities in utilization of antenatal care in Uttar Pradesh, India: the need to contextualize interventions to individual contexts
P2860
Q24654061-516EF68C-DE74-46EB-8985-F65612A80AF8Q27003989-7FC5517C-D347-4E85-83FA-9BCBCC963D6AQ28193397-3D4B733E-3166-4675-996F-7DA33D9978AFQ28219376-A1857B12-6007-450B-97FA-B75B95D5AB30Q28222390-3EF8831D-A4F4-4968-8399-64BF6DEDDD9CQ33271477-B6B0B33B-CF4F-45A6-B1A7-4CD46B96490CQ33554117-9C2DC657-AA5D-44FF-B307-03FF2387BE06Q33741465-1F8E8DE5-2C1C-434F-8942-913E07854C3DQ33889909-37E52FDF-A116-410F-92F1-2C89C25525B1Q33954537-A8BFA6E0-BEF6-45FC-B09F-F9CD74FC1D85Q33954687-A5B66DF0-1F7E-4B8D-A4C3-A742BB67F33DQ34010171-A2A0FE59-016C-4BA7-8BBE-3E238A414DF7Q34064457-FBF936FF-B18F-49BE-92DD-6EDADC7D315BQ34094993-0D78F1A1-829C-4B84-8897-32B755092DFEQ35576313-8E3533E3-3B7A-40E5-8519-9E58B3BD58D9Q37257585-2753509D-2D75-495D-AD5B-D120999343F0Q37401248-3BCFDC08-4B28-46E6-8E6F-0CCB862D82B3Q37677869-3251C25A-BC28-44DF-82FF-3D994DCE2C4AQ37688882-FED823F8-DF63-4C14-A4F5-009F9133ED5FQ39053817-1DC9ED4A-DCCA-4A11-B091-099A43F84377Q40095911-0396BA73-525F-4F83-B9B4-A980C22EBDD9Q43782954-110AC179-4AFF-4F5E-B513-07D8943D9404Q45234141-8C1B2D5E-BDA2-4DB4-B1EC-49BFA18DCB64Q47239021-A0D5819A-AF8D-4EFF-97E8-3DCD4B0FFF71Q49578225-3A8A55E7-6D24-45CF-B5AF-C2F54031CF2DQ52644934-0F0646AF-A83C-45D3-9667-BE3A623EDD5AQ53430062-D9F19C78-C065-4ED7-A2A6-08228C951C32Q55037129-5BE2FD42-F79A-416C-B859-14D2FA4AD976Q59129204-BD69B0AA-3683-4F48-A68B-DA810DD86C38
P2860
Classification tree analysis: a statistical tool to investigate risk factor interactions with an example for colon cancer (United States)
description
2002 nî lūn-bûn
@nan
2002 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2002 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2002年の論文
@ja
2002年論文
@yue
2002年論文
@zh-hant
2002年論文
@zh-hk
2002年論文
@zh-mo
2002年論文
@zh-tw
2002年论文
@wuu
name
Classification tree analysis: ...... r colon cancer (United States)
@ast
Classification tree analysis: ...... r colon cancer (United States)
@en
Classification tree analysis: ...... r colon cancer (United States)
@nl
type
label
Classification tree analysis: ...... r colon cancer (United States)
@ast
Classification tree analysis: ...... r colon cancer (United States)
@en
Classification tree analysis: ...... r colon cancer (United States)
@nl
prefLabel
Classification tree analysis: ...... r colon cancer (United States)
@ast
Classification tree analysis: ...... r colon cancer (United States)
@en
Classification tree analysis: ...... r colon cancer (United States)
@nl
P921
P3181
P356
P1476
Classification tree analysis: ...... r colon cancer (United States)
@en
P2093
Nicola J Camp
P2888
P304
P3181
P356
10.1023/A:1020611416907
P407
P577
2002-11-01T00:00:00Z
P6179
1012680195