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The Essential Guide to Calculating Sample Sizes in Clinical Research and its Significance.

The Essential Guide to Calculating Sample Sizes in Clinical Research and its Significance.Blog Outline:Introduction: What is Sample Size Calculation & Why is it Important for Clinical Research?Sample size calculation is an important part of any clinical research project. It helps researchers determine the amount of data that needs to be collected in order to draw meaningful conclusions from their

Three Mistakes You Make When Applying Biostatistical Methods

Three Mistakes You Make When Applying Biostatistical MethodsMistake #1 - Neglect calculating representative sample size in your clinical researchThe sample size is one of the most important considerations in a clinical trial. It determines the power of the study and can have a significant impact on the results. In the case of small sample size, it is likely that the study will not be able to detec

R Error Guide

This is an article. It advises you the best practices for debugging your R programming code, when errors are happening or occurCommon Mistakes Wow, what a big mistake, something must have gone wrong or you didn't understand something.Here are some of the most common errors that even seasoned R users make: CapitalizationYou typed a capital letter when you should have typed a lowercase letter (or v

Measurement of central tendency: The mode ..... not really!

In some stat 101 syllabus, you will be introduced to the measurements of central tendency and terms like mean, median, and modeyou might also be required to calculate them manuallyToday, let's talk about the mode in real data application and analysisIn summary, a mode is one measure of central tendency. It's the most frequently occurring number in a data set. The mode can be useful as one way to q

No More Misinterpretations Of The P Value, Use The Effect Size

Early career clinical researchers usually celebrates a “significant “result, but … is it really significantwell that’s a big question!In fact , P values are not percentages, which means if you find that a p-value is 0.1, you cannot say "I am 99% confident that my results are due to random chance alone, the p-value itself cant provide an evidenceIt is not about the p-value only, you should

The Danger of Blindly Repeating Statistical Tests on Clinical Data

 Clinical research is a demanding and tedious process. It's very easy to run into a dead-end, and it can be difficult to trace back the cause of the problem.it is very common for us at MARS to receive the after rejection statistical service requestsOften, it's because the researcher blindly replicated the statistical test on their data from a similar publication. they believe that it is the right

In Linear Regression, It Is Not About The Observed Values

Welcome to the Biostat done for you podcast with Nouran Hamza where I’ll help you to make the most of your clinical research and contribute to informed evidence based decisionsI was just talking to one of our clients, he asked me why there are no details on the normality testing for his regression model !and I believe you might (for example) run a clinical research to find out if blood pressure

Little Known About Biostatistics for Healthcare Professionals

Introduction: What is Biostatistics?Statistics is the branch of mathematics that deals with collecting, analyzing and interpreting data. Biostatistics is a specialized form of statistics that deals with the application of statistical techniques to medical data.The biostatistical analysis is a complex process that requires a lot of expertise in mathematics and statistics. It is used in medical rese

The Importance of Clean Clinical Data and Why It's Never a Straightforward Process

Introduction: What is Clinical Data?Clinical data is a type of health data that is used to describe the care and treatment of patients. This includes information on diagnosis, procedures, lab reports, medications, allergies and more. Clinical data can be stored in various formats including:- Electronic medical records (EMRs)- Patient charts- Electronic health records (EHRs)- Laboratory information

Clinical Data Management Made Easy: Why You Should Take a Course and What to Expect

IntroductionClinical data management is a field of study that helps clinicians and healthcare professionals to maintain the integrity of patient data.The future of clinical data management is something that we need to think about. The rate at which new technologies are being adopted by the healthcare industry is staggering. This means that the demand for qualified people in this field will only in

The Pseudo-Median

Are you reporting your data in median and ranges if your numerical variables didn't fulfill the parametric assumptions (as known as not normally distributed data)Well, in fact … Mann-Whitney -Wilcoxon rank-sum uses the rank of each caseThe main calculation of Mann-Whitney-Wilcoxon rank-sum test has nothing to do with medians. The rank sum test is ineffective as a generic test of medians. Without

A Data-Driven Guide to Get Your Clinical Research Retracted

A Data-Driven Guide to Get Your Clinical Research Retracted A retracted paper is a paper that has been formally withdrawn by the journal that published it. The term is typically used in academic publishing to refer to articles published in peer-reviewed journals and then later retracted.The reasons for retracting a paper are usually because of ethical or data integrity issues, such as plagiarism,

Medical Editors' Refusal to Publish Non-Significant Results May Lead to Publication Bias

Introduction: What is Publication Bias and How Does it Affect Medical Research?keywords: publication bias, medical research, biostatistics, medical editorThe purpose of this article is to provide a brief overview of publication bias, its implications for medical research, and how it can be addressed.Publication bias is a phenomenon where studies with statistically significant results are more like

The Confusing Terminology "Sample Size"​ in Evidence Based Medicine and How it Affects Your Research

What is Evidence-Based Medicine?Evidence-based medicine is a systematic approach to clinical decision-making that uses the best available evidence from research and patient values. This approach is used by physicians, nurses, pharmacists, and other healthcare professionals in their everyday practice. Evidence-based medicine relies on high-quality scientific data from medical research studies as we

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