@ExpresoPeru San Marcos es la reserva moral del Perú🇵🇪
¿Qué peruano enfermo no ha sido atendido por un sanmarquino o uno de sus discípulos?
La Medicina Peruana tiene vena sanmarquina.
@RobertoSanchP "La mayoría de elecciones sesgadas de los medios de comunicación surgen de la criba previa de gente que piensa lo que hay que pensar..." [Noam Chomsky & Edward S. Herman. Los guardianes de la libertad 1990 p.13]
@JuanPappierHRW@PedroCastilloTe "La mayoría de elecciones sesgadas de los medios de comunicación surgen de la criba previa de gente que piensa lo que hay que pensar..."
[Noam Chomsky & Edward S. Herman. Los guardianes de la libertad 1990 p.13]
A 𝐦𝐢𝐭𝐨𝐜𝐡𝐨𝐧𝐝𝐫𝐢𝐨𝐧 is a cytoplasmic organelle that generates, through oxidative phosphorylation, molecules of ATP, a chemical used to store and generate energy for cellular functions, including proliferation. Neurons and muscle cells are particularly sensitive to fluctuations in mitochondrial number and function, and pathogenic variants affecting mitochondrial components (such as proteins and RNAs) are often associated with encephalopathies and myopathies. The mitochondrion contains its own DNA and ribosomes with which it synthesizes in situ 13 polypeptide subunits of enzymes that mediate oxidative phosphorylation.
To learn more about this NEJM Illustrated Glossary term, read the editorial “Advances in Preventing Transmission of Mitochondrial DNA Diseases” by Julie Steffann, MD, PhD: https://t.co/k5ue1WlnwA
Explore more terms: https://t.co/kobNxmaQrY
Regular exercise reduces the likelihood of plaque accumulation in the arteries
However, many long-term exercisers appear to have coronary artery calcification, indicating atherosclerosis progression
The fascinating thing is that despite the higher plaque, those people still have lower rates of cardiovascular disease events and mortality
Full video https://t.co/it6rQBXmHT
Graph: https://t.co/U6BdIc9g79
“Physiological Principles of Exercise”
Fundamentals of “Aerobic” and “Anaerobic” respiration mechanisms within the Skeletal Muscle 👇🏼
NEJM 2025 Review
#exercise#muscle#cardiorespiratory#physiology
https://t.co/Q3OlyRroWx
The Z-test is a powerful statistical method used to determine if there is a significant difference between sample and population means, or between the means of two groups. Properly applying the Z-test can lead to more accurate conclusions in research and decision-making, but incorrect application can lead to misleading results.
✔️ The Z-test allows for precise hypothesis testing, enabling you to determine if your observed data aligns with expected outcomes based on a known population mean.
✔️ When used correctly, the Z-test can provide strong, statistically valid evidence to support or reject hypotheses, particularly in studies with large data sets and known variances.
✔️ The Z-test is straightforward and widely understood, making it a reliable tool for hypothesis testing when its assumptions are met, contributing to clearer and more consistent research results.
❌ Using the Z-test with small sample sizes can lead to invalid conclusions, as it assumes large samples for accurate results.
❌ Applying the Z-test to data that is not normally distributed violates its assumption of normality, risking inaccurate findings.
❌ Using the Z-test when population variances are unknown can lead to incorrect results, as it requires known variances for proper application.
❌ Over-reliance on the Z-test without understanding these key assumptions can result in flawed research outcomes and misleading interpretations.
While the Z-test remains a reliable method for large samples with known variances, more modern alternatives like Bayesian methods and bootstrapping offer greater flexibility and robustness in situations where traditional assumptions may not hold.
To apply the Z-test effectively in practice:
🔹 R: Use the z.test() function from the BSDA package to perform a Z-test on your data.
🔹 Python: Leverage the statsmodels library with the ztest() function to conduct a Z-test on your data.
When the significance level (alpha) is 0.05, the null hypothesis can be rejected if the Z value falls within the red region on the visualization. This visual is based on a Wikipedia image: https://t.co/SoR3LX0Ev2
You might check out my online course on Statistical Methods in R. This course will explain the Z-test and other related topics in further detail.
Learn more by visiting this link: https://t.co/7YQCRDKSPO
#datascienceenthusiast #RStats #DataAnalytics
R-squared is one of the most commonly used metrics to measure performance.
But it took me 2 years to figure out mistakes that were killing my regression models.
In 2 minutes, I'll share how I fixed 2 years of mistakes (and made 50% more accurate models than my peers). Let's go: