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#143 - John Ioannidis, M.D., D.Sc.: Why most biomedical research is flawed, and how to improve it
Manage episode 281538864 series 2432666
- John’s background, and the synergy of mathematics, science, and medicine (2:40);
- Why most published research findings are false (10:00);
- The bending of data to reach ‘statistical significance,’ and the how bias impacts results (19:30);
- The problem of power: How over- and under-powered studies lead to false positives (26:00);
- Contrasting nutritional epidemiology with genetics research (31:00);
- How to improve nutritional epidemiology and get more answers on efficacy (38:45);
- How pre-existing beliefs impact science (52:30);
- The antidote to questionable research practices infected with bias and bad incentive structures (1:03:45);
- The different roles of public, private, and philanthropic sectors in funding high-risk research that asks the important questions (1:12:00);
- Case studies demonstrating the challenge of epidemiology and how even the best studies can have major flaws (1:21:30);
- Results of John’s study looking at the seroprevalence of SARS-CoV-2, and the resulting vitriol revealing the challenge of doing science in a hyper-politicized environment (1:31:00);
- John’s excitement about the future (1:47:45); and
- More.
Learn more: https://peterattiamd.com/ Show notes page for this episode: https://peterattiamd.com/JohnIoannidis Subscribe to receive exclusive subscriber-only content: https://peterattiamd.com/subscribe/ Sign up to receive Peter's email newsletter: https://peterattiamd.com/newsletter/ Connect with Peter on Facebook | Twitter | Instagram.
346 つのエピソード
Manage episode 281538864 series 2432666
- John’s background, and the synergy of mathematics, science, and medicine (2:40);
- Why most published research findings are false (10:00);
- The bending of data to reach ‘statistical significance,’ and the how bias impacts results (19:30);
- The problem of power: How over- and under-powered studies lead to false positives (26:00);
- Contrasting nutritional epidemiology with genetics research (31:00);
- How to improve nutritional epidemiology and get more answers on efficacy (38:45);
- How pre-existing beliefs impact science (52:30);
- The antidote to questionable research practices infected with bias and bad incentive structures (1:03:45);
- The different roles of public, private, and philanthropic sectors in funding high-risk research that asks the important questions (1:12:00);
- Case studies demonstrating the challenge of epidemiology and how even the best studies can have major flaws (1:21:30);
- Results of John’s study looking at the seroprevalence of SARS-CoV-2, and the resulting vitriol revealing the challenge of doing science in a hyper-politicized environment (1:31:00);
- John’s excitement about the future (1:47:45); and
- More.
Learn more: https://peterattiamd.com/ Show notes page for this episode: https://peterattiamd.com/JohnIoannidis Subscribe to receive exclusive subscriber-only content: https://peterattiamd.com/subscribe/ Sign up to receive Peter's email newsletter: https://peterattiamd.com/newsletter/ Connect with Peter on Facebook | Twitter | Instagram.
346 つのエピソード
すべてのエピソード
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