We help you navigate through the process of selecting an appropriate research topic in your field of study and then guide you to generate research questions based on gaps identified in the literature.
Study Design Selection
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We walk you through the task of choosing the appropriate research study design from the many types of designs, each with its advantages and limitations used to collect and analyze data on variables specified in a particular research problem and deciding the most suitable methods and procedures to be used.
Literature Review Consultation
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Expert assistance in how to find high-impact, relevant studies to inform your research.
Informed Consent Creation
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An informed consent form is an ethical and legal document that must be presented to study subjects before participating in the research. The aim of this document is to provide complete information regarding the study so that participants understand what the research is and what they are agreeing to participate in. Thus, formulating the informed consent requires careful selection of the information that needs to be included in a comprehensive yet readable manner.
IRB Forms Assistance
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Your local Institutional Review Board (IRB) must first approve any research (whether it is conducted on animals or humans) that you plan to undertake. To obtain this approval you are required to complete the IRB forms and comply with their requirements. However, this can often be a delicate process and requires many documents to be submitted. Any unclear or missing information may lead to delay or rejection by the IRB. In this service, we offer guidance on how to fill the forms accurately by complying with the IRB guidelines.
Data Cleaning
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Data cleanup is a way of preparing and fixing the collected data for analysis by removing or modifying data that is incorrect, duplicated, incomplete, irrelevant, or improperly formatted. This data is usually not important or helpful when it comes to analyzing data because it may corrupt the process or provide inaccurate results. Most importantly, the goal of data cleaning is to create data sets that are standardized and uniform to allow analytical processes to be done.
Data Coding
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The voluminous data obtained through research undergoes a process of data coding which involves summarizing and converting the data collected to a set of consistent categories. This enables the data to be understood by computer software’s and conduct analysis.
Simple Statistics
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Simple statistics provide descriptive information regarding the variables in the data set. It includes: Measures of Frequency (Count, Percent, Frequency), Measures of Central Tendency (Mean, Median, and Mode), Measures of Dispersion or Variation (Range, Variance, Standard Deviation), and Measures of Position (Percentile Ranks, Quartile Ranks).
Complex Statistics
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Complex statistics enable us to draw inferences and make predictions from the sample data about the population. This includes: comparative analysis, correlation analysis, regression analysis (odds ratio), survival analysis (Cox regression & Kaplan Meier curve, Hazard ratio), reliability analysis, factor analysis, ROC curve analysis (sensitivity, specificity, accuracy, optimal cut off), and other statistical tests (including Chi square test, t – test , one way ANOVA, Post Hoc test , Non Parametric test, etc.).
Data Visualization
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Describing, displaying, and visualizing data by creating tables, graphs, and summary measures in order to give an instant pictorial depiction of the data.
Language Review
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A research that was meticulously planned, conducted and analyzed may still face rejection by most international journals during editorial peer review due to poor language skills that makes the manuscript incomprehensible. Many journals, thus, require the manuscript to be proof read by persons with full proficiency in the English language and with a strong scientific background. Language review involves spelling and grammar correction, sentence restructuring, enhancing the readability and flow of ideas.
Biostatistics Review
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Herein we carry out a comprehensive assessment to ensure that the statistical analysis that has been undertaken and reported in the manuscript is accurate. This includes a review of all the calculations related to sample size, p-value and multivariate analysis.
