The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Basic statistical tools in research and data analysis
Open accessAbstract
Statistical methods involved in carrying out a study include planning, designing, collecting data, analysing, drawing meaningful interpretation and reporting of the research findings. The statistical analysis gives meaning to the meaningless numbers, thereby breathing life into a lifeless data. The results and inferences are precise only if proper statistical tests are used. This article will try to acquaint the reader with the basic research tools that are utilised while conducting various studies. The article covers a brief outline of the variables, an understanding of quantitative and qualitative variables and the measures of central tendency. An idea of the sample size estimation, power analysis and the statistical errors is given. Finally, there is a summary of parametric and non-parametric tests used for data analysis.
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Cites
Early Exposure to Anesthesia and Learning Disabilities in a Population-based Birth Cohort
Wilder, R. T., Flick, R. P., Sprung, J., Katusic, S. K., Barbaresi, W. J., Mickelson, C., Gleich, S. J., Schroeder, D. R., Weaver, A. L., & Warner, D. O. (2009) · Anesthesiology · doi:10.1097/01.anes.0000344728.34332.5d · Cited by 1,364
Null hypothesis significance testing: a review of an old and continuing controversy
Nickerson, R. S. (2000) · Psychological Methods · doi:10.1037/1082-989x.5.2.241 · Cited by 1,090
Nonparametric statistical tests for the continuous data: the basic concept and the practical use
Nahm, F. S. (2016) · Korean Journal of Anesthesiology · doi:10.4097/kjae.2016.69.1.8 · Cited by 389
Statistics review 10: further nonparametric methods.
Bewick, V., Cheek, L., & Ball, J. (2004) · Critical Care · doi:10.1186/cc2857 · Cited by 250
Measures of central tendency: Median and mode
S., M. (2011) · Journal of Pharmacology and Pharmacotherapeutics · doi:10.4103/0976-500x.83300 · Cited by 215
Sample size calculation: Basic principles
Das, S., Mitra, K., & Mandal, M. (2016) · Indian Journal of Anaesthesia · doi:10.4103/0019-5049.190621 · Cited by 138
Parametric v non-parametric methods for data analysis
Altman, D. G., & Bland, J. M. (2009) · BMJ · doi:10.1136/bmj.a3167 · Cited by 135
Statistical Methods for Anaesthesia and Intensive Care
Morley, A. P. (2001) · European Journal of Anaesthesiology · doi:10.1046/j.1365-2346.2001.0910b.x · Cited by 64
Basics, common errors and essentials of statistical tools and techniques in anesthesiology research
Bajwa, S. J. (2015) · Journal of Anaesthesiology Clinical Pharmacology · doi:10.4103/0970-9185.169087 · Cited by 24
Cited by
Evaluating large language models for selection of statistical test for research: A pilot study
Mondal, H., Mondal, S., & Mittal, P. (2024) · Perspectives in Clinical Research · doi:10.4103/picr.picr_275_23 · Cited by 9
Metadata
- Authors
- Ali, Z., & Bhaskar, S.
- Venue
- Indian Journal of Anaesthesia
- Publisher
- Medknow
- Published
- 2016
- Volume
- 60
- Issue
- 9
- Pages
- 662
- ISSN
- 0019-5049 (ISSN-L)
- OpenAlex
- W2519380942
- Cited by
- 423
- References
- 9
- FWCI
- 11.36
- Type
- journal article
- Language
- en
- Open access
- diamond
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