Literature DB >> 30664323

Statistical Analysis Plan for "An international multicenter study of isoelectric electroencephalography events in infants and young children during anesthesia for surgery".

Ian Yuan1, Vanessa A Olbrecht2, Janell L Mensinger3, Bingqing Zhang1, Andrew J Davidson4, Britta S von Ungern-Sternberg5,6, Justin Skowno7, QingQuan Lian8, XingRong Song9, Pin Zhao10, JianMin Zhang11, MaZhong Zhang12, YunXia Zuo13, Jurgen C de Graaff14, Laszlo Vutskits15, Peter Szmuk16, Charles D Kurth1.   

Abstract

This Statistical Analysis Plan details the statistical procedures to be applied for the analysis of data for the multicenter electroencephalography study. It consists of a basic description of the study in broad terms and separate sections that detail the methods of different aspects of the statistical analysis, summarized under the following headings (a) Background; (b) Definitions of protocol violations; (c) Definitions of objectives and other terms; (d) Variables for analyses; (e) Handling of missing data and study bias; (f) Statistical analysis of the primary and secondary study outcomes; (g) Reporting of study results; and (h) References. It serves as a template for researchers interested in writing a Statistical Analysis Plan.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  EEG; SAP; SAP example; SAP template; Statistical Analysis Plan; isoelectric EEG

Mesh:

Year:  2019        PMID: 30664323     DOI: 10.1111/pan.13589

Source DB:  PubMed          Journal:  Paediatr Anaesth        ISSN: 1155-5645            Impact factor:   2.556


  1 in total

1.  Electroencephalographic features of discontinuous activity in anesthetized infants and children.

Authors:  Uday Agrawal; Charles B Berde; Laura Cornelissen
Journal:  PLoS One       Date:  2019-10-03       Impact factor: 3.240

  1 in total

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