Does More Data Mean Higher Efficiency? An Experience from Pre- and Post-treatment Study with Missing Data

In this paper we compare two moment-based methods which have been widely used to test the hypothesis of no treatment effect in pre- and post-treatment studies with data missing completely at random. Our theoretical derivation and simulation results show that the method based on all available data is...

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Detalles Bibliográficos
Autores principales: WANG, Hongyue, PENG, Jing, ZHENG, Juila Z., WANG, Bokai, TU, J. X., FENG, Changyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shanghai Municipal Bureau of Publishing 2016
Materias:
Biostatistics in Psychiatry (34)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434275/
https://www.ncbi.nlm.nih.gov/pubmed/28638197
http://dx.doi.org/10.11919/j.issn.1002-0829.216058
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author WANG, Hongyue
PENG, Jing
ZHENG, Juila Z.
WANG, Bokai
TU, J. X.
FENG, Changyong
author_facet WANG, Hongyue
PENG, Jing
ZHENG, Juila Z.
WANG, Bokai
TU, J. X.
FENG, Changyong
author_sort WANG, Hongyue
collection PubMed
description In this paper we compare two moment-based methods which have been widely used to test the hypothesis of no treatment effect in pre- and post-treatment studies with data missing completely at random. Our theoretical derivation and simulation results show that the method based on all available data is not necessarily more efficient than the method that uses only complete data pairs. We propose an optimal linear combination of these two methods which turns to be more powerful in all cases.
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spelling pubmed-54342752017-06-21 Does More Data Mean Higher Efficiency? An Experience from Pre- and Post-treatment Study with Missing Data WANG, Hongyue PENG, Jing ZHENG, Juila Z. WANG, Bokai TU, J. X. FENG, Changyong Shanghai Arch Psychiatry Biostatistics in Psychiatry (34) In this paper we compare two moment-based methods which have been widely used to test the hypothesis of no treatment effect in pre- and post-treatment studies with data missing completely at random. Our theoretical derivation and simulation results show that the method based on all available data is not necessarily more efficient than the method that uses only complete data pairs. We propose an optimal linear combination of these two methods which turns to be more powerful in all cases. Shanghai Municipal Bureau of Publishing 2016-08-25 2016-08-25 /pmc/articles/PMC5434275/ /pubmed/28638197 http://dx.doi.org/10.11919/j.issn.1002-0829.216058 Text en © Shanghai Municipal Bureau of Publishing http://creativecommons.org/licenses/by-nc/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Biostatistics in Psychiatry (34)
WANG, Hongyue
PENG, Jing
ZHENG, Juila Z.
WANG, Bokai
TU, J. X.
FENG, Changyong
Does More Data Mean Higher Efficiency? An Experience from Pre- and Post-treatment Study with Missing Data
title Does More Data Mean Higher Efficiency? An Experience from Pre- and Post-treatment Study with Missing Data
title_full Does More Data Mean Higher Efficiency? An Experience from Pre- and Post-treatment Study with Missing Data
title_fullStr Does More Data Mean Higher Efficiency? An Experience from Pre- and Post-treatment Study with Missing Data
title_full_unstemmed Does More Data Mean Higher Efficiency? An Experience from Pre- and Post-treatment Study with Missing Data
title_short Does More Data Mean Higher Efficiency? An Experience from Pre- and Post-treatment Study with Missing Data
title_sort does more data mean higher efficiency? an experience from pre- and post-treatment study with missing data
topic Biostatistics in Psychiatry (34)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434275/
https://www.ncbi.nlm.nih.gov/pubmed/28638197
http://dx.doi.org/10.11919/j.issn.1002-0829.216058
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