Use of generalised additive models to categorise continuous variables in clinical prediction
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Risk factors for adverse prognosis and death in American visceral leishmaniasis: a meta-analysisDoes transport time help explain the high trauma mortality rates in rural areas? New and traditional predictors assessed by new and traditional statistical methodsA new approach to categorising continuous variables in prediction models: Proposal and validation.Validating a continental-scale groundwater diffuse pollution model using regional datasets.Low blood lymphocyte count at 30 days post transplant predicts worse acute GVHD and survival but not relapse in a large retrospective cohort.
P2860
Use of generalised additive models to categorise continuous variables in clinical prediction
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Use of generalised additive mo ...... riables in clinical prediction
@ast
Use of generalised additive mo ...... riables in clinical prediction
@en
Use of generalised additive mo ...... riables in clinical prediction
@nl
type
label
Use of generalised additive mo ...... riables in clinical prediction
@ast
Use of generalised additive mo ...... riables in clinical prediction
@en
Use of generalised additive mo ...... riables in clinical prediction
@nl
prefLabel
Use of generalised additive mo ...... riables in clinical prediction
@ast
Use of generalised additive mo ...... riables in clinical prediction
@en
Use of generalised additive mo ...... riables in clinical prediction
@nl
P2093
P2860
P356
P1476
Use of generalised additive mo ...... riables in clinical prediction
@en
P2093
Inmaculada Arostegui
Irantzu Barrio
Iryss-Copd Group
José M Quintana
P2860
P2888
P356
10.1186/1471-2288-13-83
P577
2013-06-26T00:00:00Z
P5875
P6179
1034077948