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research letters

Indian Pediatr 2009;46: 811-812

Statistical Reporting in Indian Pediatrics


Jay Karan, JP Goyal, *P Bhardwaj and Preeti Yadav

Government Medical College, Surat; and *Era’s Medical College, Lucknow, India.
Email: [email protected]
 

Abstract

We analyzed 45 original articles from Indian Pediatrics for appropriateness of the statistical methods. Appropriate statistical tests (93%), no use of obscure test and use of exact P value were the positive findings observed. Sample size was calculated in 24% and confidence interval in 13%. There is a need to generate awareness regarding confidence interval and sample size calculations.

Key words: India, Journal, Statistics.


Statistical errors are common in scientific literature(1-3). We conducted this study to evaluate the appropriateness of statistical techniques used and types of statistical errors present in original papers published in Indian Pediatrics. The journal has separate advisors for biostatistics(4).

All the authors independently surveyed 45 Lead Articles and Research Papers published in Indian Pediatrics in 2007 and 2008 on the basis of a modified checklist(5). The results are summarized in Table I.

Table I



Reporting of Statistical Methods in Indian Pediatrics
Checklist points Frequency(%)n=45
Sample size calculation 11(24.4)
Baseline comparison  43 (95.5)
Ratio + nominal data 22(48)
Nominal data 11(24)
Ratio data 9(20)
Ordinal  2(4)
Ratio + ordinal 1(2)
Appropriate statistical test 42(93)
Parametric test 38(84)
Nonparametric test 7(15)
Normal distribution analyzed 7(15)
Obscure test 0
Post hoc subgroup analysis 0
Two tailed test 45(100)
Outliers 0
Correlation 9(20)
r value 7(15)
P value <0.05 45(100)
Confidence interval 6(13)
Relative risk reduction 0
Absolute risk reduction 0
Number needed to treat 0
Use of software 31(29)

Appropriate statistical tests were used in 42 (93%) articles. In few studies parametric test were used in place of nonparametric tests. Mainly these data were dealing with rank and scores. The incidence of inappropriate tests is less as compared to other studies published in this area(2,3,6). Sample size was calculated in only 11 studies; among the clinical trials it was calculated in 46% of studies. Data were checked for normal distribution in only 21% studies. Multiple hypothesis testing was done in most of the articles. Separate test was used for each variable. Another neglected aspect was confidence interval, calculated in only 13% articles. Confidence interval gives us range of the value around the effect size of sample where population mean actually lies. Other encouraging point is mentioning of exact P value in most of the articles.

We observed that as compared to previous studies in other journals, the statistical reporting of Indian Pediatrics is better(6,7). Editors should generate more awareness regarding confidence interval, distribution of data, nonparametric statistics and calculation of sample size.  

References

1. Curran-Everett D, Taylor S, Kafadar K. Fundamental concepts in statistics: elucidation and illustration. J Appl Physiol 1998; 85: 775-786.

2. Altman DG. Statistics in medical journals: some recent trends. Stat Med 2000; 19: 3275-3289.

3. Altman DG, Bland JM. Improving doctors’ understanding of statistics. J R Stat Soc Ser 1991; 154: 223-267.

4. Gupta P, Kaur G, Sharma B, Shah D, Choudhury P. What is submitted and what gets accepted in Indian Pediatrics: Analysis of submissions, review process, decision making, and criteria for rejection. Indian Pediatr 2006; 43: 479-489.

5. Greenhalgh T. How to read a paper? The basics of evidence based medicine. 3rd ed. London: BMJ Publishing House; 1997.

6. Mantha S. Statistical reporting of study results: is there a scope for improvement. J Anaesth Clin Pharmacol 1994; 10: 81-84.

7. Pocock SJ, Hughes MD, Lee RJ. Statistical problems in the reporting of clinical trials. A survey of three medical journals. N Eng J Med 1987; 317: 426-432.
 

 

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