Statistical methods used in medical research and cancer registries: A review

N. Dar, T. Tali, Basharat Gani, M. Sofi, ShahidRashid Sofi, Nazir Khan, A. Najmi, Afroz Fir, Syed Ahmad
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Abstract

Medicine is an ever-changing science. Thus, new knowledge is generated by research and clinical experience. Statistical methods used in medical research play a vital role in medical research to draw a meaningful conclusion about research. Analyzing data and interpreting results is the most exciting stage of research, but it is not possible for everyone. It is possible for those who is having deep knowledge and to know the applicability of statistical methods used in medical research. Commonly used statistical methods in medical research are descriptive and inferential statistical methods. In descriptive statistical methods, we describe our data by the organization of our data in the form of tabulation and diagrams, measures of central tendency, dispersion, condensation, and measures of correlation. In inferential statistics, we draw a meaningful conclusion whether our treatment or procedure used in medical research gives a fruitful outcome or not. It is possible only when we have a good knowledge and skill of statistical methods used in basic research and it allows our clinical researchers to draw accurate and reasonable conclusions. Statistics provides us with sound methods in collecting data about observing health-related events, which in turn helps us in summarizing and analyzing the results so as to draw valid inferences regarding the hypothesis of our research. During the research, scientists used different statistical methods such as independent t-test or Student's t-test and Chi-square test to compare the different treatments used in the experimental studies to check whether there was a significant difference in our treatment or not. The main role of a cancer registry is to capturing a clear and complete picture of the cancer burden. To show how confident the researchers are that the results did not happen by chance, they use confidence intervals. For example, 95% confidence means that the researchers are pretty sure that the result has not happened by chance. The motive and aim of my review article are only to aware the researchers to know the importance and applicability of these statistical methods used in medical research and cancer registries.
医学研究和癌症登记中使用的统计方法:综述
医学是一门不断变化的科学。因此,新的知识是由研究和临床经验产生的。医学研究中使用的统计方法对医学研究得出有意义的结论起着至关重要的作用。分析数据和解释结果是研究中最令人兴奋的阶段,但并不是每个人都能做到。对于那些具有深厚知识的人来说,了解统计方法在医学研究中的适用性是可能的。医学研究中常用的统计方法有描述统计方法和推理统计方法。在描述性统计方法中,我们通过表格和图表形式的数据组织来描述我们的数据,集中趋势,分散,凝聚和相关性的测量。在推论统计中,我们得出一个有意义的结论,无论我们在医学研究中使用的治疗或程序是否取得了丰硕的成果。只有掌握基础研究中使用的统计方法的知识和技能,才能使我们的临床研究人员得出准确合理的结论。统计学为我们提供了可靠的方法来收集观察与健康相关事件的数据,这反过来又帮助我们总结和分析结果,从而对我们的研究假设得出有效的推论。在研究过程中,科学家使用了不同的统计方法,如独立t检验或学生t检验和卡方检验来比较实验研究中使用的不同处理,以检查我们的处理是否存在显著差异。癌症登记的主要作用是清楚和完整地了解癌症负担。为了表明研究人员对结果不是偶然发生有多自信,他们使用了置信区间。例如,95%的置信度意味着研究人员非常确定结果不是偶然发生的。我的评论文章的动机和目的只是让研究人员知道这些统计方法在医学研究和癌症登记中的重要性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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