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Biostatistics: A Toolkit for Exploration, Validation, and Interpretation of Clinical Data

Biostatistics: A Toolkit for Exploration, Validation, and Interpretation of Clinical Data COMMENTARY Biostatistics: A Toolkit for Exploration, Validation, and Interpretation of Clinical Data Jayawant N. Mandrekar, PhD, and Sumithra J. Mandrekar, PhD SCLC, respectively. Figure 1 illustrates a general outline of the Abstract: Biostatistics plays a key role in all phases of clinical research descriptive and analytical steps involved in the data analysis starting from the design to the monitoring, data collection, data analysis, process. We discuss the salient features of each step in this and interpretation of the results. A clear understanding of the statistical report. framework as it relates to the study hypothesis, reported results, and interpretation is vital for the scientific integrity of the study and its DATA GATHERING AND DESCRIPTIVE acceptance in the general medical community. In this brief report, we SUMMARIES will put in perspective the general analytical framework for exploring and validating prognostic factors using data from large databases. The first step in a database analysis is the selection criteria used to determine the cases (i.e., data elements) to be Key Words: Biostatistics, Multivariable analysis, Univariable included in the analysis to ensure that (1) there is minimal to analysis. no selection bias and (2) results arising from the analysis of this data is reproducible, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Thoracic Oncology Wolters Kluwer Health

Biostatistics: A Toolkit for Exploration, Validation, and Interpretation of Clinical Data

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References (16)

ISSN
1556-0864
DOI
10.1097/JTO.0b013e3181c0a329
pmid
20009908
Publisher site
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Abstract

COMMENTARY Biostatistics: A Toolkit for Exploration, Validation, and Interpretation of Clinical Data Jayawant N. Mandrekar, PhD, and Sumithra J. Mandrekar, PhD SCLC, respectively. Figure 1 illustrates a general outline of the Abstract: Biostatistics plays a key role in all phases of clinical research descriptive and analytical steps involved in the data analysis starting from the design to the monitoring, data collection, data analysis, process. We discuss the salient features of each step in this and interpretation of the results. A clear understanding of the statistical report. framework as it relates to the study hypothesis, reported results, and interpretation is vital for the scientific integrity of the study and its DATA GATHERING AND DESCRIPTIVE acceptance in the general medical community. In this brief report, we SUMMARIES will put in perspective the general analytical framework for exploring and validating prognostic factors using data from large databases. The first step in a database analysis is the selection criteria used to determine the cases (i.e., data elements) to be Key Words: Biostatistics, Multivariable analysis, Univariable included in the analysis to ensure that (1) there is minimal to analysis. no selection bias and (2) results arising from the analysis of this data is reproducible,

Journal

Journal of Thoracic Oncology – Wolters Kluwer Health

Published: Dec 1, 2009

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