Book contents
- Multivariable Analysis
- Multivariable Analysis
- Copyright page
- Contents
- Preface
- 1 Introduction
- 2 Common Uses of Multivariable Models
- 3 Outcome Variables in Multivariable Analysis
- 4 Independent Variables in Multivariable Analysis
- 5 Relationship of Independent Variables to One Another
- 6 Setting Up a Multivariable Analysis
- 7 Performing the Analysis
- 8 Interpreting the Results
- 9 Delving Deeper: Checking the Underlying Assumptions of the Analysis
- 10 Propensity Scores
- 11 Correlated Observations
- 12 Sensitivity Analysis
- 13 Validation of Models
- 14 Special Topics
- 15 Publishing Your Study
- 16 Summary: Steps for Constructing a Multivariable Model
- Index
15 - Publishing Your Study
Published online by Cambridge University Press: 09 October 2025
Book contents
- Multivariable Analysis
- Multivariable Analysis
- Copyright page
- Contents
- Preface
- 1 Introduction
- 2 Common Uses of Multivariable Models
- 3 Outcome Variables in Multivariable Analysis
- 4 Independent Variables in Multivariable Analysis
- 5 Relationship of Independent Variables to One Another
- 6 Setting Up a Multivariable Analysis
- 7 Performing the Analysis
- 8 Interpreting the Results
- 9 Delving Deeper: Checking the Underlying Assumptions of the Analysis
- 10 Propensity Scores
- 11 Correlated Observations
- 12 Sensitivity Analysis
- 13 Validation of Models
- 14 Special Topics
- 15 Publishing Your Study
- 16 Summary: Steps for Constructing a Multivariable Model
- Index
Summary
A published report should include a sufficient explanation of the statistical methods so that someone with access to the original data could reproduce the reported results. Generally, it is best to divide the methods section of your paper into how subjects were enrolled (Subjects), what interventions were used or how data were acquired (Procedures), how the variables were coded (Measures), and how the data were analyzed (Statistical analysis). Unless there is no missing data, it is important to report the n for each analysis.
What results to report in your paper will vary based on your research question, your analysis, and the style of the journal. In general, for multiple linear regression models, report the regression coefficients, the standard errors of the coefficients, and the statistical significance levels of the coefficients. For logistic regression, report the odds ratio and the 95% confidence interval; for proportional hazards regression, report the relative hazard and the 95% confidence interval.
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- Chapter
- Information
- Multivariable AnalysisA Practical Guide for Clinicians and Public Health Researchers, pp. 253 - 258Publisher: Cambridge University PressPrint publication year: 2025
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