1. INTRODUCTION
When reporting estimates and associated standard errors (ses) or confidence intervals (CIs), the standard formats, “estimate (se)” and “estimate (95% CI: [lower, upper]),” can be confusing in text; in tables they hinder comparisons. Furthermore, some readers can misinterpret the CI format as indicating equal support for all reported values. To remedy these deficits, we recommend formats that (1) improve clarity in text and tables and (2) emphasize that an estimate and its associated uncertainty should be “connected at the hip” as a single unit.
2. RECOMMENDED DISPLAYS
We recommend displaying an estimate with its se using est(se) and displaying an estimate with its CI using the triple of percentiles, 2.55097.5. The first author encouraged these formats in articles published in the Journal of the American Statistical Association, Applications and Case Studies articles. In their discussion of estimated deaths in Irag, Zeger and Johnson (2007) extended the CI format to the 5-number summary, 2.525507597.5. This display is reminiscent of the 5-number summary introduced by Tukey (1977). In both CI formats, the decreasing point size communicates decreasing likelihood. Indeed, the 5-number summary graphic is reminiscent of a likelihood function or posterior distribution.
3. EXAMPLES
In text: Compare the clarity and message of “the estimate is 1.48(se=0.09)” to “the estimate is 1.48(0.09)” and the clarity and message of “the estimate of excess deaths is 654 (95%CI:393 to 943)” to that of “the estimate of excess deaths is 393654943.” Furthermore, note both the clarity and the information content of the 5-number summary, 393560654748943. The recommended formats are easier to read and reinforce the message that uncertainty measures are an integral part of an estimate.
In tables: Tabulations using the new methods pay big dividends in clarity. Note the ease of making row and column comparisons in Table 1. Similar clarity is conferred by tabulating est(se) rather than using the standard format (see Hoeting and others, 2003).
Table 1.
Grade at application | Applicant's school: Low |
Applicant's school: High |
||
Reading | Math | Reading | Math | |
1 | −2.03.48.7 | 3.07.712.4 | −7.31.910.3 | 0.27.414.6 |
2 | −3.70.75.0 | −2.41.96.2 | −9.4−0.97.3 | −6.21.59.3 |
3 | −4.11.06.1 | −0.85.010.7 | −9.5−0.87.7 | −4.94.012.5 |
4 | −1.54.210.1 | −1.64.310.1 | −6.32.711.3 | −4.73.511.9 |
Overall | −0.92.25.3 | 1.44.77.9 | −7.10.67.7 | −2.64.210.9 |
FUNDING
US National Institutes of Health (RO1 DK061662, RO1 ES0154-02, and 5P30ES03819-17).
Acknowledgments
Conflict of Interest: None declared.
APPENDIX: LATEX CODE
\newcommand{\estse}[2]{{#1}_{(#2)}}
\newcommand{\cithree}[3]{_{{#1}\ \!}{#2}_{\ {#3}}}
\newcommand{\cifive}[5]{_{_{#1\ }{#2}\ \!}{#3}_{\ #4_{\ #5}}}
References
- Barnard J, Frangakis CE, Hill JL, Rubin DB. Principal stratification approach to broken randomized experiments: a case study of school choice vouchers in New York city (with discussion) Journal of the American Statistical Association. 2003;98:299–323. [Google Scholar]
- Hoeting JA, Tweedie RL, Oliver CS. Transform estimation of parameters for stage-frequency data. Journal of the American Statistical Association. 2003;98:503–514. [Google Scholar]
- Tukey JW. Exploratory Data Analysis. Reading, MA: Addison-Wesley; 1977. [Google Scholar]
- Zeger SL, Johnson E. Estimating excess deaths in Iraq since the US–British-led invasion. Significance. 2007;4:54–59. [Google Scholar]