How to analyze tumor stage data in clinical research

Zhi De Hu; Zhi Rui Zhou; Shi Qian

doi:10.3978/j.issn.2072-1439.2015.04.09

How to analyze tumor stage data in clinical research

Zhi De Hu, Zhi Rui Zhou, Shi Qian

Quantitative Health Sciences

Research output: Contribution to journal › Editorial › peer-review

9 Scopus citations

Abstract

Abstract: Tumor staging serves as an important prognostic factor in cancer patient care. It also plays critical roles in cancer-related clinical research. Aimed to shed lights on how to analyze tumor staging related data and deliver proper interpretation, various statistical methods, from categorical data analysis to modeling techniques, were introduced through the examples. General guidelines were discussed for how to choose proper statistical test with key considerations of research aims, study design, measurement scale of data, proper data summary, type of associations, and underlying assumptions of statistical methods.

Original language	English (US)
Pages (from-to)	566-575
Number of pages	10
Journal	Journal of Thoracic Disease
Volume	7
Issue number	4
DOIs	https://doi.org/10.3978/j.issn.2072-1439.2015.04.09
State	Published - 2015

Keywords

Cancer research
Clinical interpretation
Statistical methods
Tumor stage

ASJC Scopus subject areas

Pulmonary and Respiratory Medicine

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10.3978/j.issn.2072-1439.2015.04.09

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title = "How to analyze tumor stage data in clinical research",

abstract = "Abstract: Tumor staging serves as an important prognostic factor in cancer patient care. It also plays critical roles in cancer-related clinical research. Aimed to shed lights on how to analyze tumor staging related data and deliver proper interpretation, various statistical methods, from categorical data analysis to modeling techniques, were introduced through the examples. General guidelines were discussed for how to choose proper statistical test with key considerations of research aims, study design, measurement scale of data, proper data summary, type of associations, and underlying assumptions of statistical methods.",

keywords = "Cancer research, Clinical interpretation, Statistical methods, Tumor stage",

author = "Hu, {Zhi De} and Zhou, {Zhi Rui} and Shi Qian",

note = "Publisher Copyright: {\textcopyright} Journal of Thoracic Disease.",

year = "2015",

doi = "10.3978/j.issn.2072-1439.2015.04.09",

language = "English (US)",

volume = "7",

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T1 - How to analyze tumor stage data in clinical research

AU - Hu, Zhi De

AU - Zhou, Zhi Rui

AU - Qian, Shi

N1 - Publisher Copyright: © Journal of Thoracic Disease.

PY - 2015

Y1 - 2015

N2 - Abstract: Tumor staging serves as an important prognostic factor in cancer patient care. It also plays critical roles in cancer-related clinical research. Aimed to shed lights on how to analyze tumor staging related data and deliver proper interpretation, various statistical methods, from categorical data analysis to modeling techniques, were introduced through the examples. General guidelines were discussed for how to choose proper statistical test with key considerations of research aims, study design, measurement scale of data, proper data summary, type of associations, and underlying assumptions of statistical methods.

AB - Abstract: Tumor staging serves as an important prognostic factor in cancer patient care. It also plays critical roles in cancer-related clinical research. Aimed to shed lights on how to analyze tumor staging related data and deliver proper interpretation, various statistical methods, from categorical data analysis to modeling techniques, were introduced through the examples. General guidelines were discussed for how to choose proper statistical test with key considerations of research aims, study design, measurement scale of data, proper data summary, type of associations, and underlying assumptions of statistical methods.

KW - Cancer research

KW - Clinical interpretation

KW - Statistical methods

KW - Tumor stage

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U2 - 10.3978/j.issn.2072-1439.2015.04.09

DO - 10.3978/j.issn.2072-1439.2015.04.09

M3 - Editorial

AN - SCOPUS:84928579197

SN - 2072-1439

VL - 7

SP - 566

EP - 575

JO - Journal of Thoracic Disease

JF - Journal of Thoracic Disease

IS - 4

ER -

How to analyze tumor stage data in clinical research

Abstract

Keywords

ASJC Scopus subject areas

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