Analysis of repeated measurement data in the clinical trials
Authors
Vineeta Singh
Department of Statistics, Institute of Social Sciences, Dr. BR Ambedkar University, Agra, Uttar Pradesh, India
Rakesh Rana
Department of AYUSH, Central Council for Research in Ayurvedic Sciences, Ministry of Health and Family Welfare, Government of India, Delhi, India
Richa Singhal
Department of AYUSH, Central Council for Research in Ayurvedic Sciences, Ministry of Health and Family Welfare, Government of India, Delhi, India
Keywords:
Anemia, Ayurveda, bio-statistics, clinical trials, repeated measure analysis of variance
Abstract
Statistics is an integral part of Clinical Trials. Elements of statistics span Clinical Trial design, data monitoring, analyses and reporting. A solid understanding of statistical concepts by clinicians improves the comprehension and the resulting quality of Clinical Trials. In biomedical research it has been seen that researcher frequently use t-test and ANOVA to compare means between the groups of interest irrespective of the nature of the data. In Clinical Trials we record the data on the patients more than two times. In such a situation using the standard ANOVA procedures is not appropriate as it does not consider dependencies between observations within subjects in the analysis. To deal with such types of study data Repeated Measure ANOVA should be used. In this article the application of One-way Repeated Measure ANOVA has been demonstrated by using the software SPSS (Statistical Package for Social Sciences) Version 15.0 on the data collected at four time points 0 day, 15th day, 30th day, and 45th day of multicentre clinical trial conducted on Pandu Roga (~Iron Deficiency Anemia) with an Ayurvedic formulation Dhatrilauha.
Keywords: Anemia, Ayurveda, bio-statistics, clinical trials, repeated measure analysis of variance
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