The Reliability and Validity of Real-time PCR Data in Biomedical Sciences

Term Paper , 2014 , 9 Pages , Grade: B

Mathematics - Statistics

Despite a fairly broad implementation and application of real-time PCR, there still exists a vacuum in determining the correct procedures for the examination of quantitative real-time PCR; more explicitly, there is a need to determine appropriate procedures to attain the right kind of statistical treatment. In today’s various methods of data analysis, the key statistical inferences are not as exclusive as required like confidence interval. This paper presents and tends to relate four statistical models and approaches on the basis of standard curve method and methods for data analysis.
The first approach developed a multiple regression analysis model for the determination of ∆∆Ct directly from the approximation of interface of gene and treatment paraphernalia. The second approach used the analysis of covariance i.e. ANCOVA model where the derivation of ∆∆Ct could be made through the sequential evaluation and analysis of effects of concurrent variables. The remainder of the models chiefly involves the calculation of ∆Ct subsequently connected through the non-parametric comparable Wilcoxon test and a two group T-test. Moreover, a data quality control model was established, which was then applied through the SAS programs determined for all of the aforementioned approaches; analyzed data output was also presented for a sample set.
The SAS programs were used to put forward practical statistical solutions for real-time PCR data while the programs were also utilized to analyze a sample dataset. After a comprehensive analysis conducted through the approaches and models mentioned above, similar results were obtained.

Inhaltsverzeichnis

• A- Introduction:
  • i) Overview of the Project:
  • ii) Guidance from research articles:
  • iii) Purpose of the project:
  • iv) Significance of study:
• B- Method:
• C- Results:
• D- Discussion:
• E- Conclusion (Fazit):
• F- Bibliography (Literaturverzeichnis):

Zielsetzung und Themenschwerpunkte

This paper aims to explore the reliability and validity of real-time PCR data usage in biomedical sciences, focusing on the statistical models and approaches for data analysis. It examines the strengths and limitations of different methods, including the AACt method and the efficiency-calibrated method, and proposes a data quality control model for ensuring accurate and reliable results.

• Statistical models and approaches for real-time PCR data analysis
• Data quality control and assurance in real-time PCR
• The reliability and validity of different quantification methods
• The significance of real-time PCR in biomedical research
• The impact of real-time PCR on various fields of biomedical sciences

Zusammenfassung der Kapitel

The introduction provides an overview of the project, highlighting the need for accurate statistical treatment of real-time PCR data. It discusses the significance of real-time PCR in biomedical sciences and its evolution as a powerful tool for gene expression analysis. The method section delves into the discrepancies between different mathematical models for relative quantification of real-time PCR data, emphasizing the importance of data quality control. It introduces a data correlation model for examining data quality and presents a table and figure illustrating the data grouping and analysis.

Schlüsselwörter

The keywords and focus themes of the text include real-time PCR, data analysis, statistical models, data quality control, quantification methods, gene expression, biomedical sciences, and research applications.

• College: National University of Modern Languages, Islamabad (NUML)
• Course: Statistics
• Grade: B
• Author: Yasir Khan (Author)
• Publication Year: 2014
• Pages: 9
• Catalog Number: V288335
• ISBN (eBook): 9783656886143
• ISBN (Book): 9783656886150
• Language: English
• Tags: reliability, validity, real-time, data, biomedical, sciences