High-quality statistical analysis of data ensures the reliability of research results, but navigating the numerous complex statistical analysis methods can be challenging to researchers. LetPub’s data statistical analysis services help researchers to improve the efficiency of scientific research and ensure the rigor of statistical analysis in research articles.
Analyses include:
• Descriptive statistics, such as mean, median, range, count, frequency, percentile, variance, as well as summary tables (e.g., frequency tables and contingency tables) and graphs (e.g., bar chart, box plot, scatter plot, pie chart, and histogram).
• Categorical data analysis, such as Chi Square test.
• Continuous data analysis, such as analysis of variance (ANOVA) and t-test.
• Regression/correlation analysis, such as logistic regression and linear regression.
• Power/sample size analysis.
• Survival analysis, such as Kaplan-Meier Survival Analysis and Cox Proportional Hazards model.
• Other analyses, such as Mann–Whitney–Wilcoxon test, odds ratio (OR) and relative risk (RR).
Our Service
Our editors will:
• Evaluate the analytical needs for the data based on the study design
• Perform appropriate statistical analysis of the provided data
• Produce tables and/or composite figures as appropriate for the analysis
You will receive:
• Complete tables and/or figures reflecting the analyses performed
• Corresponding caption and legend for each
• A brief explanation of why the particular statistical analyses were chosen, and a brief interpretation of the results
Pricing
Starting at $430
Time
3-10 business days
*Available turnaround times vary according to the number of analyses and figures. Options will be provided upon order placement.
Testimonials
Esteban Gabazza, MD, PhD, Professor of Medicine
Mie University Faculty and Graduate School of Medicine, Japan
Hui Tong
Guangdong Institute of Eco-environmental Science & Technology
Hongwei Liu
Hebei Academy of Sciences
Jian Zhang
Shandong University
Yantao Ma
Huadong Hospital Affiliated to Fudan University
Kai Lu
Fujian Agriculture and Forestry University
Zhe Wang
Central South University
Jan Rieck
University of Groningen (The Netherlands)
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We have been incredibly impressed with the outstanding services provided by Research Creative. Their team consistently demonstrated professionalism, expertise, and creativity throughout our collaboration. From the initial consultation to the final deliverables, they exceeded our expectations by understanding our needs and delivering high-quality work on time. Their attention to detail and commitment to excellence have made a significant positive impact on our projects. We highly recommend Research Creative to anyone looking for reliable and exceptional services. Thank you for a job well done!