In this episode we will be talking to Giovanni Tripepi, an expert in biostatistics. Medicine is not just an art but also a science grounded in biostatistics, which is why it is crucial to understand it in order to conduct and interpret research properly. In this episode you will hear about the most common mistakes made by medical researchers when planning a project, the most common mistakes when interpreting data, why a p-value below 0.05 is not always significant and a whole lot more. By the...
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In this episode we will be talking to Giovanni Tripepi, an expert in biostatistics. Medicine is not just an art but also a science grounded in biostatistics, which is why it is crucial to understand it in order to conduct and interpret research properly. In this episode you will hear about the most common mistakes made by medical researchers when planning a project, the most common mistakes when interpreting data, why a p-value below 0.05 is not always significant and a whole lot more. By the...
#52 Primary hyperoxaluria type 1, with Justine Bacchetta
A pinch of salt - A podcast by ERA
23 minutes
2 months ago
#52 Primary hyperoxaluria type 1, with Justine Bacchetta
In this episode we explore a very rare, but devastating disease called primary hyperoxaluria, which usually destroys the kidneys when patients are still very young and afterwards, the calcium oxalate crystals deposit in the bones, joints, vessel walls, the heart and other organs, leading to a dramatic shortening of life. Effectively the patient is slowly turning into stone. Justine Bacchetta, a world-renowned expert, will help us understand this disease and navigate the new and very effective...
A pinch of salt - A podcast by ERA
In this episode we will be talking to Giovanni Tripepi, an expert in biostatistics. Medicine is not just an art but also a science grounded in biostatistics, which is why it is crucial to understand it in order to conduct and interpret research properly. In this episode you will hear about the most common mistakes made by medical researchers when planning a project, the most common mistakes when interpreting data, why a p-value below 0.05 is not always significant and a whole lot more. By the...
