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
Professor Angel Orte
University of Granada, Spain
Runjie Wang
Tongji University
Jeremias Sulam
Johns Hopkins University (United States)
Yang Yu
University of Melbourne
Hui Tong
Guangdong Institute of Eco-environmental Science & Technology
Youjia Zeng
Shenzhen Traditional Chinese Medicine Hospital
Qiu Du
Yangzhou University
Yantao Ma
Huadong Hospital Affiliated to Fudan University
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Working with LetPub for a journal cover design has been a wonderful experience. The artwork designers perfectly understood the main ideas and requirements for the cover with scientific accuracy and aesthetic vision. The customer support staff was very helpful throughout all the process and provided timely updates about the progress of the project. I do recommend this service and surely will use it again in the future."