Analytics of your Journal Manuscript—For Increasing the chances of your Manuscripts’ Publication
While writing a casual manuscript, you need to make sure that all its grammar, punctuations, and other such aspects are properly prepared. But the thing in a statistical data-based manuscript is that along with all of the previously mentioned aspects, you also have to keep in check the way in which your statistical data is structured and presented. Even the simplest errors in the statistical data can highly influence the overall result and hence, can discredit your whole manuscript.
Statistics is considered to be all about presenting the present probabilities and the data distribution but in reality, the statistical data is all about presenting the collected data and numerical values in an appropriate manner to quantify the relation between them. Doing so allows you to prove the statements that you have made in your research and hence, provide it with more credibility. But doing so requires quite a lot of precision and therefore, hiring or consulting a statistician for performing this task is advised.
PhD Writing Assistance’s Role in Handling Your Statistics
The expert statisticians at Ph.D. Writing Assistance make sure that you have a statistically inclusive manuscript in which all of your statistical data is presented in the most accurate and reader-friendly way possible. Our research experts are proficient in carrying out such tasks and hence, can assure you that the end product that you receive will be apt for submission and free from any errors whatsoever.
By opting for our statistical services, you can rest assured that you can avoid any possible problems and errors that might be in your data along with some extra data optimization as the cherry-on-top as well. Our experts follow all the given specific journal writing guidelines for the proper use and proper statistical data presentation.
Features of PhD Writing Assistance’s Manuscript Statistics Service
Reporting the required statistical data in Journals:
Preliminary Analysis: Our experts identify any and all of the procedures that are needed for modifying the present raw data before starting the process of analysis. Doing so makes sure that the data present can become useful for creating ratios, normal distribution, etc.
Prior Analysis: our prior analysis includes identifying the purpose of the analysis, its variables, and summary, along with its smallest differences.
The supplementary analysis: Including the tasks such as sensitivity analysis, imputation, the assumption testing process, sub-group analysis, and post-rock identification as well.
Reporting the statistical data of Manuscripts:
Reporting the required descriptive summary statistics
Inferential tests’ reporting results
Statistical test outcome summarizing and presenting its outcome in figures
Reporting all the required and mentioned risks, ratios, and rates (such as HR, AR, RR, OR’s difference)
Reporting the related hypothesis analysis
Reporting the related associative analysis
Reporting its regression analysis
Reporting its analysis of covariance (ANCOVA) or variance (ANOVA)
Reporting the time-to-event (survival) analysis
Discussion about its results and findings section
Bibliography, citations, and reference lists.