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    in Psychology
Epidemiology | cohort study Case control study, cross sectional, analytical, observational,
2:40:56
YouTubeRJ CAREER POINT NURSING
Epidemiology | cohort study Case control study, cross sectional, analytical, observational,
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2.7K views6 hours ago
OCD Symptoms
What is OCD? | International OCD Foundation
0:32
What is OCD? | International OCD Foundation
iocdf.org
9 months ago
How To Tell if You Are Obsessive or Have Obsessive-Compulsive Disorder (OCD)
How To Tell if You Are Obsessive or Have Obsessive-Compulsive Disorder (OCD)
health.com
1 month ago
8.9M views · 262K reactions | OCD - Symptoms - From #OnTheRocks - @netflix @NetflixIsAJoke - #BrianRegan #Standupcomedy | Brian Regan | Facebook
2:46
8.9M views · 262K reactions | OCD - Symptoms - From #OnTheRocks - @netflix @NetflixIsAJoke - #BrianRegan #Standupcomedy | Brian Regan | Facebook
FacebookBrian Regan
8.9M views1 week ago
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Key Scientific Sources: \t1.\tDi Forti et al. (2015, The Lancet Psychiatry) — Daily use of high-potency cannabis increased risk of first-episode psychosis by ~5×; conducted in South London (Camberwell). https://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(14)00117-5/fulltext \t2.\tvan Os et al. (2002, American Journal of Epidemiology) — Large population cohort showing cannabis use predicts later development of psychotic symptoms. https://academic.oup.com/aje/article/156/4/319/112397 \
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Key Scientific Sources: \t1.\tDi Forti et al. (2015, The Lancet Psychiatry) — Daily use of high-potency cannabis increased risk of first-episode psychosis by ~5×; conducted in South London (Camberwell). https://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(14)00117-5/fulltext \t2.\tvan Os et al. (2002, American Journal of Epidemiology) — Large population cohort showing cannabis use predicts later development of psychotic symptoms. https://academic.oup.com/aje/article/156/4/319/112397 \
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Sine Grude, MPH ’26, has a background in antibiotic resistance research and is enrolled in the Quantitative Methods program at Harvard Chan School. “In times like these, public health is a critical field to study,” she says. “Quantitative methods really had a lot to offer in terms of diving deep into biostatistics and epidemiology that would set me up both to do research and hopefully to do some policy work in the future.” As a student from Norway, she shares that the global nature of the studen
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Sine Grude, MPH ’26, has a background in antibiotic resistance research and is enrolled in the Quantitative Methods program at Harvard Chan School. “In times like these, public health is a critical field to study,” she says. “Quantitative methods really had a lot to offer in terms of diving deep into biostatistics and epidemiology that would set me up both to do research and hopefully to do some policy work in the future.” As a student from Norway, she shares that the global nature of the studen
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AMA 77: Dietary fiber and health outcomes: real benefits, overhyped claims, & practical applications
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Key Scientific Sources: \t1.\tDi Forti et al. (2015, The Lancet Psychiatry) — Daily use of high-potency cannabis increased risk of first-episode psychosis by ~5×; conducted in South London (Camberwell). https://www.thelancet.com/journals/lanpsy/article/PIIS2215-0366(14)00117-5/fulltext \t2.\tvan Os et al. (2002, American Journal of Epidemiology) — Large population cohort showing cannabis use predicts later development of psychotic symptoms. https://academic.oup.com/aje/article/156/4/319/112397 \
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Sen. Bill Cassidy (R-LA), a doctor, says he’s “very concerned” about the upcoming vote by the CDC’s panel of federal vaccine advisers on potentially changing the hepatitis B vaccine schedule for infants. “This is policy by people who don't understand the epidemiology of hepatitis B, or who have grown comfortable with the fact that we've been so successful with our recommendation that now the incidence of hepatitis B is so low, they feel like we can rest on our laurels,” Cassidy says. | Face The
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CODE Havic @medschoolbro = Mystery Discount Hypothesis Errors Power in 30s Type I (α) = false positive → rejecting H₀ when it’s actually true. Type II (β) = false negative → failing to reject H₀ when H₁ is real. Power = 1 − β → boosted by ↑ sample size, ↑ effect size, ↓ variance. p-value? Just tests how surprising your data is if H₀ were true — not clinical importance. #step1 #step2ck #biostats #epidemiology #usmle #drhavicandbrody | Medschoolbro
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