Analysis of repeated measurement data in the clinical trials.
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, 15(th) day, 30(th) day, and 45(th) day of multicentre clinical trial conducted on Pandu Roga (~Iron Deficiency Anemia) with an Ayurvedic formulation Dhatrilauha.
Department of Statistics, Institute of Social Sciences, Dr. BR Ambedkar University, Agra, Uttar Pradesh, India.
Vineeta
V
Singh
Rakesh Kumar
RK
Rana
Richa
R
Singhal
Anemia; Ayurveda; bio-statistics; clinical trials; repeated measure analysis of variance