Using latent class growth analysis to identify childhood wheeze phenotypes in an urban birth cohort.
about
Identification of Asthma Subtypes Using Clustering MethodologiesValidation of novel wheeze phenotypes using longitudinal airway function and atopic sensitization data in the first 6 years of life: evidence from the Southampton Women's surveyDistinguishing Asthma Phenotypes Using Machine Learning ApproachesChildren's urinary phthalate metabolites and fractional exhaled nitric oxide in an urban cohort.Allergic sensitization patterns identified through latent class analysis among children with and without asthmaBirth weight and asthma incidence by asthma phenotype pattern in a racially diverse cohort followed through adolescence.Characterizing wheeze phenotypes to identify endotypes of childhood asthma, and the implications for future management.Classifying patients by their characteristics and clinical presentations; the use of latent class analysis.Asthma phenotypes in childhood.Asthma Trajectories in a Population-based Birth Cohort. Impacts of Air Pollution and Greenness.Dry night cough as a marker of allergy in preschool children: the PARIS birth cohort.Sex-specific risk factors for childhood wheeze and longitudinal phenotypes of wheeze.Onset and persistence of respiratory/allergic symptoms in preschoolers: new insights from the PARIS birth cohort.Wheezing phenotypes and risk factors in early life: The ELFE cohort.Classification of Pediatric Asthma: From Phenotype Discovery to Clinical Practice
P2860
Q26741870-7D2D0FC0-AD0A-490A-8A19-682D52A6E129Q30588257-2DB724FC-2D55-4CA1-9518-AA31F263022DQ36100257-10EFA4A0-879E-4D19-94A0-E2E940F39F7DQ36488772-C263B8D9-CCE4-47A3-9B4E-2277D97C950CQ36667420-55334BE6-E8D3-46F3-B3EA-209FD6909365Q36796577-4A11E720-1134-4CED-B8C0-3A09F01F7D79Q38152819-A9F39244-6E0E-458F-B513-E6B6883EF896Q38258823-AC2B6769-5249-43F0-B156-869409A4E518Q39000176-F01CA275-3AA0-41AF-9598-6C42EE6808C3Q39410799-1CB9BAD0-C661-4FBE-9EB1-2C242242E92EQ40255943-3217E644-D60C-4E2C-9022-D486C7E3F963Q40726016-312732A4-2EBD-4957-9C6A-351F4FA99EFAQ44069064-8BF4E998-2D02-438A-9DEE-EA8329C45CBCQ55307497-CBF6BB25-36E7-4CDC-9841-32778F79D0D0Q57265610-461D8C95-F562-4F1A-8DEB-FACF29EAA478
P2860
Using latent class growth analysis to identify childhood wheeze phenotypes in an urban birth cohort.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Using latent class growth anal ...... ypes in an urban birth cohort.
@ast
Using latent class growth anal ...... ypes in an urban birth cohort.
@en
type
label
Using latent class growth anal ...... ypes in an urban birth cohort.
@ast
Using latent class growth anal ...... ypes in an urban birth cohort.
@en
prefLabel
Using latent class growth anal ...... ypes in an urban birth cohort.
@ast
Using latent class growth anal ...... ypes in an urban birth cohort.
@en
P2093
P2860
P1476
Using latent class growth anal ...... types in an urban birth cohort
@en
P2093
Frederica P Perera
Inge F Goldstein
Qixuan Chen
Rachel L Miller
Robin M Whyatt
P2860
P304
311-315.e1
P356
10.1016/J.ANAI.2012.02.016
P577
2012-03-14T00:00:00Z