Identifying treatment effect heterogeneity in clinical trials using subpopulations of events: STEPP
about
Validation of a network-based strategy for the optimization of combinatorial target selection in breast cancer therapy: siRNA knockdown of network targets in MDA-MB-231 cells as an in vitro model for inhibition of tumor development.Cardiopoietic cell therapy for advanced ischaemic heart failure: results at 39 weeks of the prospective, randomized, double blind, sham-controlled CHART-1 clinical trial.Subpopulation Treatment Effect Pattern Plot (STEPP) analysis for continuous, binary, and count outcomes.IVF or IUI as first-line treatment in unexplained subfertility: the conundrum of treatment selection markers.The SUPER study: protocol for a randomised controlled trial comparing follicle-stimulating hormone and clomiphene citrate for ovarian stimulation in intrauterine insemination.
P2860
Identifying treatment effect heterogeneity in clinical trials using subpopulations of events: STEPP
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Identifying treatment effect h ...... ubpopulations of events: STEPP
@en
type
label
Identifying treatment effect h ...... ubpopulations of events: STEPP
@en
prefLabel
Identifying treatment effect h ...... ubpopulations of events: STEPP
@en
P2093
P2860
P356
P1433
P1476
Identifying treatment effect h ...... ubpopulations of events: STEPP
@en
P2093
Ann A Lazar
Bernard F Cole
Marco Bonetti
Richard D Gelber
Wai-Ki Yip
P2860
P304
P356
10.1177/1740774515609106
P577
2015-10-22T00:00:00Z