MARS- Global

💥 We are thrilled to share the exciting news of a strategic collaboration between MARS-Global Clinical Research Solutions (MARS-Global) and the Menoufia Faculty of Medicine – Students Research Program (MFM-SRP). 👌 This collaboration aims to strengthen the skills and knowledge of clinical researchers and students at the Menoufia Faculty of Medicine. Also it highlights our dedication to fostering educational excellence and promoting capacity building in clinical research industry. ✅ We are honored to be a part of fostering the growth of upcoming professionals in the field of clinical research through this valuable collaboration. ⏳ Stay tuned for more exciting updates on our journey together! ✅ For more information about the collaboration read the press release here: https://lnkd.in/dZ7aX_Mx #clinicalresearch #collaboration #capacitybuilding #MARS #MARSGlobal #MFMSRP

Hot off the Press! Yesterday, Al-Ahram featured the details of a groundbreaking new research study, Life, aimed at treating iron deficiency anemia. This innovative research is the brainchild of Orchidia Pharmaceuticals, who not only developed the idea but also organized the pivotal meeting that brought together experts from MARS- Global —the go-to agency for medical research and statistics—and a distinguished group of medical professors from top Egyptian universities. Kudos to Orchidia for leading the charge in advancing patient care. This is just the start of something truly impactful in the Middle East. #clinicalresearch #patientcare #anemia

📊 In 2023, Egyptian researchers authored an impressive 18,117 papers؛ more than quadruple the output from 2013. What insights lie within this wealth of knowledge? 🤔 It is puzzling why the market access and medical affairs departments struggle to locate relevant data from published research to inform their decision-making. 🛑 Why do international guidelines, which may not align with our patients' specific needs and characteristics, influence national guidelines? ↪️ Given the abundance of qualified individuals in our country, what steps can we take to ensure that pharmacists are adequately prepared to enter the field of clinical research? 👌 That what Dr. Nouran Hamza will be discussing at the upcoming conference for Egyptian pharmacists and the Egyptian Pharmacy, Development, and Training Foundation. 💥 Excited about Dr. Nouran Hamza’s upcoming talk? Let’s prepare together! Join us as we explore the impact of Egyptian research on clinical practice. 🌐🔍 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐆𝐨𝐨𝐠𝐥𝐞 𝐅𝐨𝐫𝐦 👇 https://lnkd.in/d-w-_zWN 🔥 The Mars team is not one of the organizers. For inquiries, please contact: Mr. Mohamed El Naqib Phone: 01112280642 #clinicalresearch #egyptianresearchers #healthcare #evidencebasedmedicine #pharmaceuticalindustry #medicalaffairs #MARS #MARS_Global #egyptianscholars

👌 As a biostatistician, we have learned that the delicate balance between precision and practicality is important to our work. Today, we want to share a fundamental truth with you: "Sample size depends on the desired effect size. Smaller effects necessitate larger samples." 📏 This is a guiding principle rather than just a statistical statement. When we design studies, we are doing more than just crunching numbers; we are defining the frame through which we experience life's patterns. ✅ Every data point represents a narrative ready to be told. So let us take on the art and science of sample sizing. It's not about meaningless numbers; it's about finding the whispers of significance in the midst of unpredictability. 👌As we explore the complexities of data, keep in mind that behind every point estimate is a world of uncertainty and possibilities. Follow Us for further information and practical tips on how to calculate sample sizes. Let's understand data together! 💪 #biostatistics #datascience #samplesize #MARS #MARS_Global

👌 As clinical researchers, we are constantly striving to make meaningful discoveries that can transform patient care. But how can we ensure that our studies are designed to truly capture the insights we seek? The answer lies in pre-study power analysis; a pivotal step in the research design process that is often overlooked. 👉 Why is power analysis indispensable? Power analysis allows us to determine the minimum sample size required to detect a specified effect size with a given level of confidence. This is not just a statistical nicety it's a cornerstone of robust research methodology. ✅ Here's why: ➡️ Efficiency: It ensures that resources are used judiciously, avoiding the pitfalls of under or over-recruitment. ➡️ Ethical Considerations: It respects participant contribution by ensuring their involvement has the potential to contribute to significant findings. ➡️ Validity: It enhances the likelihood that your study will yield conclusive results, bolstering the credibility and impact of your work. 🌟 Follow our FAQ to learn more about how power analysis can be the difference between a study that fades into obscurity and one that stands out in the field of medical science. 🤝 Join the conversation and share your thoughts on the importance of power analysis in clinical research. #clinicalresearch #poweranalysis #samplesize #researchmethodology #MARS #biostatistics #MARS_Global

🤔 Are You a Statistics Savvy? We Need Your Insight! 👌 In the field of data analysis, the size of your sample can be the deciding factor between a good and a great study. But here's a question that even seasoned statisticians pause to think about: 📊 Which statistical test requires the largest sample size for reliable results? - A) T-Test - B) Chi-Square - C) ANOVA - D) Unsure Your expertise could shed light on this intriguing question. Whether you're a data analyst, a researcher, or just a statistics enthusiast, your opinion counts! 👉 Cast your vote and let's discuss this statistical mystery together! To participate, simply comment below with the letter corresponding to your answer. And don't forget to share why you chose that option; let's get a conversation started! #statspoll #datascience #samplesize #researchcommunity #MARS #MARS_Global #biostatistics

💥 Hello, clinical research enthusiasts! Today, let's tackle a common myth and spread some knowledge with a sprinkle of humor. 🛑 Myth Busting: The belief that statistical power is only a concern for the individual researcher is as outdated as floppy disks. Power analysis is not a solo act; it's a critical component that resonates throughout the entire research ecosystem. 📚 Knowledge Drop: Statistical power is the backbone of research integrity. It affects: ↪️ Funding Decisions: Agencies look for studies with adequate power to ensure their investment yields conclusive results. ↪️ Meta-Analyses:Robust power means reliable findings, which in turn, strengthen meta-analytic conclusions. ↪️ Public Trust: Well-powered studies build confidence in scientific outcomes. 👌 It's a ripple effect – one well-calculated sample size can create waves of impact across studies, disciplines, and even policy-making. 🌟 🤗 A Dash of Humor: ➡️ Let's talk about sample size – because even statistical superheroes need sidekicks. Imagine Batman without Robin or Sherlock without Watson. That's your research without a properly calculated sample size. It might still save the day, but it's going to have a much harder time doing so. 🦸♂️ 💪 Hold the power of well, power analysis. It's not just about you; it's about contributing to a larger body of knowledge that can stand the test of time and scrutiny. So, next time you're planning a study, remember: your sample size is your sidekick, and together, you're unstoppable! #clinicalresearch #biostatistics #data #samplesize #MARS #MARS_Global

👌 As researchers, we understand that sample size plays a crucial role in the validity and generalizability of our findings. Choosing an appropriate sample size involves a delicate balance between precision, practicality, and statistical power. Let's explore the key factors that influence sample size decisions: 1. Desired Precision: Balancing Accuracy and Feasibility 🔹 Precision refers to how closely our sample estimate reflects the true population parameter. A larger sample size generally leads to greater precision. However, increasing sample size comes with practical challenges (time, cost, and resources). 🔹 Consider the trade-off: A smaller sample may be feasible but sacrifices precision, while a larger sample provides more accurate estimates but requires more effort. 2. Alpha (Significance Level): Impact on Sample Size 🔹 The alpha level (often set at 0.05) determines the threshold for statistical significance. Smaller alpha values lead to stricter significance criteria. 🔹As alpha decreases, the required sample size increases. Researchers must strike a balance between minimizing Type I errors (false positives) and practical constraints. 3. Power Analysis: Calculating Power Based on Effect Size 🔹Statistical power measures the ability of a study to detect true effects. It depends on sample size, effect size, and alpha. 🔹Conduct a power analysis before designing your study. Specify the desired power (usually 0.80) and effect size. The analysis will reveal the necessary sample size. ✅ A larger effect size requires a smaller sample size to achieve adequate power. 📊 Practical Tips: ✅ Consult Existing Literature: Look for similar studies and their reported sample sizes. This can guide your decision. ➡️ Pilot Studies: Conduct pilot studies to estimate variability and inform sample size calculations. 👌 Consider Resources: Assess available resources (time, budget, participants) realistically. Balancing precision, feasibility, and statistical power is essential when determining sample size. Remember, a well-designed study begins with thoughtful sample size considerations! 📩 Get in touch with MARS- Global: If you have questions or need assistance with statistical analysis, feel free to reach out. We’re here to help! https://lnkd.in/dCDSQmJ7 #researchMethods #samplesize #biostatistics #datascience #MARS #MARS_Global

"Sample size: the bridge between uncertainty and confidence." 👌 Sample size serves as our guiding principle in the world of data-driven judgments. It provides us with guidance, leading us away from doubt and towards confident insights. #datascience #biostatistics #MARS #decisionmaking #samplesize #MARS_Global

Have you ever wondered why some studies make a splash while others barely cause a ripple? The answer often lies in the unsung hero of research: sample size. 🤔 How Does Sample Size Impact Statistical Power? 👌 In our quest for truth, we often overlook a fundamental element that can make or break our findings. Today, let’s tackle a burning question: How Does Sample Size Impact Statistical Power? ✅ The answer is quite profound yet simple: Larger sample sizes increase statistical power, the ability to detect true effects in our data. Think of it as the lens through which we view the microscopic world of our research. A larger lens (sample size) brings the tiny details (effects) into sharper focus, allowing us to observe with greater clarity and confidence. 🛑 But why is this power so critical? Because adequate power is the backbone of reliable results. It’s the difference between a hazy guess and a clear discovery. It’s what separates robust findings from those that fade into the background noise of variability. 🚀 Are you ready to amplify the impact of your research? Let’s chat about strategies for optimizing sample size and ensuring your studies have the power they deserve. 👍Hit ‘Like’ if you’ve found this insight helpful, and ‘Share’ to spread the word. Let’s empower the research community together! #statisticalpower #samplesize #research #data #biostatistics #MARS #MARS_Global