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A tartalmat a American Medical Association and JAMA Network biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a American Medical Association and JAMA Network vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
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Lipstick on the Rim
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1 Amy Schumer & Brianne Howey on the Importance of Female Friendships, Navigating Hollywood's Double Standards, Sharing Their Birth Stories, and MORE 50:05
This week, in what might be the funniest episode yet, Molly and Emese are joined by co-stars Amy Schumer and Brianne Howey. They get candid about motherhood, career evolution, and their new film, Kinda Pregnant —which unexpectedly led to Amy’s latest health discovery. Amy opens up about how public criticism led her to uncover her Cushing syndrome diagnosis, what it’s like to navigate comedy and Hollywood as a mom, and the importance of sharing birth stories without shame. Brianne shares how becoming a mother has shifted her perspective on work, how Ginny & Georgia ’s Georgia Miller compares to real-life parenting, and the power of female friendships in the industry. We also go behind the scenes of their new Netflix film, Kinda Pregnant —how Molly first got the script, why Amy and Brianne were drawn to the project, and what it means for women today. Plus, they reflect on their early career struggles, the moment they knew they “made it,” and how motherhood has reshaped their ambitions. From career highs to personal challenges, this episode is raw, funny, and packed with insights. Mentioned in the Episode: Kinda Pregnant Ginny & Georgia Meerkat 30 Rock Last Comic Standing Charlie Sheen Roast Inside Amy Schumer Amy Schumer on the Howard Stern Show Trainwreck Life & Beth Expecting Amy 45RPM Clothing Brand A Sony Music Entertainment production. Find more great podcasts from Sony Music Entertainment at sonymusic.com/podcasts and follow us at @sonypodcasts To bring your brand to life in this podcast, email podcastadsales@sonymusic.com Learn more about your ad choices. Visit podcastchoices.com/adchoices…
JAMAevidence JAMA Guide to Statistics and Methods
Mind megjelölése nem lejátszottként
Manage series 2783390
A tartalmat a American Medical Association and JAMA Network biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a American Medical Association and JAMA Network vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Interviews with authors of JAMA Guide to Statistics and Methods chapters about common and new statistics and methods used in clinical research and reported in medical journals.
…
continue reading
35 epizódok
Mind megjelölése nem lejátszottként
Manage series 2783390
A tartalmat a American Medical Association and JAMA Network biztosítja. Az összes podcast-tartalmat, beleértve az epizódokat, grafikákat és podcast-leírásokat, közvetlenül a American Medical Association and JAMA Network vagy a podcast platform partnere tölti fel és biztosítja. Ha úgy gondolja, hogy valaki az Ön engedélye nélkül használja fel a szerzői joggal védett művét, kövesse az itt leírt folyamatot https://hu.player.fm/legal.
Interviews with authors of JAMA Guide to Statistics and Methods chapters about common and new statistics and methods used in clinical research and reported in medical journals.
…
continue reading
35 epizódok
Minden epizód
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JAMAevidence JAMA Guide to Statistics and Methods
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Andrew D. Althouse, PhD, University of Pittsburgh School of Medicine discusses The Use of Historical Controls in Clinical Trials with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: The Use of Historical Controls in Clinical Trials
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JAMAevidence JAMA Guide to Statistics and Methods
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Barbara Wendelberger, PhD, Berry Consultants, discusses Futility in Clinical Trials with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Futility in Clinical Trials
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JAMAevidence JAMA Guide to Statistics and Methods
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William J. Meurer, MD, MS, University of Michigan Medical School, discusses Interim Analyses During Group Sequential Trials with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Interim Analyses During Group Sequential Clinical Trials
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JAMAevidence JAMA Guide to Statistics and Methods
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Jerome I. Rotter, MD, The Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, Department of Pediatrics, Harbor-UCLA Medical Center, discusses Genome-Wide Association Studies with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Genome-Wide Association Studies…
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JAMAevidence JAMA Guide to Statistics and Methods
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Benjamin R. Saville, PhD, president and lead statistical scientist of Adaptix Trials, LLC and adjoint associate professor of biostatistics at Vanderbilt University Medical Center, discusses Conditional Power: How Likely Is Trial Success? with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Conditional Power…
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JAMAevidence JAMA Guide to Statistics and Methods
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Anna E. McGlothlin, PhD, Berry Consultants, LLC, discusses Bayesian Hierarchical Models with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Bayesian Hierarchical Models
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JAMAevidence JAMA Guide to Statistics and Methods
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Kelley Kidwell, PhD, professor of biostatistics, University of Michigan, discusses Sequential, Multiple Assignment, Randomized Trial Designs with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Sequential, Multiple Assignment, Randomized Trial Designs
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JAMAevidence JAMA Guide to Statistics and Methods
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Miguel A. Hernán, MD, DrPH, professor of epidemiology, Harvard T.H. Chan School of Public Health, discusses Target Trial Emulation: A Framework for Causal Inference From Observational Data with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Target Trial Emulation
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JAMAevidence JAMA Guide to Statistics and Methods
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JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses On Deep Learning for Medical Image Analysis with Lawrence Carin, PhD. Related Content: On Deep Learning for Medical Image Analysis
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JAMAevidence JAMA Guide to Statistics and Methods
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JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Patient-Reported Outcome Measures in Clinical Research with Kevin P. Weinfurt, PhD, and Bryce B. Reeve, PhD. Related Content: Patient-Reported Outcome Measures in Clinical Research
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JAMAevidence JAMA Guide to Statistics and Methods
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JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Immortal Time Bias in Observational Studies with Kabir Yadav, MDCM, MS, MSHS. Related Content: Immortal Time Bias in Observational Studies
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JAMAevidence JAMA Guide to Statistics and Methods
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JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Adjustment for Baseline Characteristics in Randomized Clinical Trial with Lars W. Andersen, MD, MPH, PhD, DMSc. Related Content: Adjustment for Baseline Characteristics in Randomized Clinical Trials
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JAMAevidence JAMA Guide to Statistics and Methods
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JAMA Statistical Editor Roger J. Lewis, MD, PhD, discusses Odds Ratios—Current Best Practice and Use with Edward C. Norton, PhD. Related Content: Odds Ratios—Current Best Practice and Use Types and Distribution of Payments From Industry to Physicians in 2015
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JAMAevidence JAMA Guide to Statistics and Methods
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Roger J. Lewis, MD, PhD, discusses Estimands, Estimators, and Estimates with Roderick J. Little, PhD, in the JAMA Guide to Statistics and Methods series. Related Content: Estimands, Estimators, and Estimates
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JAMAevidence JAMA Guide to Statistics and Methods
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1 Interpreting the Results of Intention-to-Treat, Per-Protocol, and As-Treated Analyses With Dr Smith 18:25
Roger J. Lewis, MD, PhD, discusses Interpreting the Results of Intention-to-Treat, Per-Protocol, and As-Treated Analyses with Valerie A. Smith, DrPH. Related Content: Interpreting the Results of Intention-to-Treat, Per-Protocol, and As-Treated Analyses of Clinical Trials
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