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.
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Normal Curves is a podcast about sexy science & serious statistics. Ever try to make sense of a scientific study and the numbers behind it? Listen in to a lively conversation between two stats-savvy friends who break it all down with humor and clarity. Professors Regina Nuzzo of Gallaudet University and Kristin Sainani of Stanford University discuss academic papers journal club-style — except with more fun, less jargon, and some irreverent, PG-13 content sprinkled in. Join Kristin and Regina ...
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This podcast introduces the statistical methods used to analyze data about society with an emphasis on applying those methods. This podcast will help you to be a more informed and critical reader of academic research, public opinion polling, and advertisement claims that present statistical evidence. Textbook: Statistics: Unlocking the Power of Data (https://bit.ly/statsbooklock5) Students can use the Promotion Code "LOCK5" for a 10% discount Instructors can request a free Digital Evaluati ...
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Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the me ...
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AP Statistics Cover art photo provided by Clem Onojeghuo on Unsplash: https://unsplash.com/@clemono2
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Audiobook version of my textbook ”Modern Statistics: Intuition, Math, Python, R”. All the relevant links to the book, code, and YouTube recordings are available from github.com/mikexcohen/statistics_book For more info about my educational material, visit my website sincxpress.com. You can also google my name (Mike X Cohen) to find my materials on Udemy, amazon, YouTube, and elsewhere.
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Welcome to the statistics Podcast, Where me and my friends Josh, Arjun, And our producer/director, Jeremiah talk about the most relevant sport new that is going on.
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Hi and Assalamualaikum, This channel is created to express my thoughts and sharing knowledge on statistics and other related thing regarding data analytics with some additional entertainment. Hope you enjoy listening to my podcast channel. Please give some feedback on your thought of my podcast. Thanks. Hope you enjoy. Wasalam. My Youtube Channel: https://www.youtube.com/channel/UC-1TuFeMnZN2ZII51d5T2wQ My website : https://nasirdrive1.wixsite.com/nasir916
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Beating the Statistics Health and Fitness Consultancy Podcast, helping people design healthy lifestyles and systems that make fitness a priority and a pleasure instead of something to dread or endure through.
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Videos can be found on my YouTube Channel: https://www.youtube.com/channel/UCHVyc1NJuYvzpoom-L3nBpg/ More info and notes on my Website: https://blogs.lt.vt.edu/jmrussell/ To support the project you can go here: https://anchor.fm/john-russell10/support Support this podcast: https://podcasters.spotify.com/pod/show/john-russell10/support
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Video presentations (with audio) of Dave Brodbeck's class 'Psychology 3256 - Design and Analysis' from Algoma University. A course on ANOVA
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The Department of Statistics at Oxford is a world leader in research including computational statistics and statistical methodology, applied probability, bioinformatics and mathematical genetics. In the 2014 Research Excellence Framework (REF), Oxford's Mathematical Sciences submission was ranked overall best in the UK. This is an exciting time for the Department. We have now moved into our new home on St Giles and we are currently settling in. The new building provides improved lecture and ...
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Nearly 19% of private sector businesses in the U.S. fail within the first year. After five years, close to 50% have faltered, and by year 10, 65.5% of businesses on average have failed. With these unfortunate statistics in mind, my mission is to unpack and uncover why this is and what the other 34.5% of businesses are doing that has allowed them to beat the odds and flourish. Join us for uncut and uncensored conversations with these highly successful business owners who will uncover thier se ...
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Australian Social Trends (AST) podcasts bring you short, easy listening highlights from the Australian Bureau of Statistics' latest release of the AST publication. Each quarterly release of AST contains several in depth articles, which cover many broad areas of social concern such as population, health, work and housing just to name a few. We aim to do this in an interesting and easy to understand way. Other aims of AST are to address current and perennial social concerns and to provide answ ...
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The health podcast series brings you highlights and data snapshots from the wide range of health data collected by the Australian Bureau of Statistics (ABS). The Health podcast will showcase this data in a series of short conversations that discuss Australia's health status following release of data from the suite of health surveys conducted by the ABS. The episodes will discuss a variety of topics, including health risk factors such as smoking and obesity, rates of physical activity and die ...
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This episode provides a comprehensive introduction to statistical concepts and how they relate to social science research. Professor Fulton discusses the course objectives which include teaching listeners to gather, describe, analyze, and interpret data. The episode highlights the selection of an intuitive textbook designed to make the learning pro…
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Instrumental Variables and Heterogeneous Treatment Effects With Dr Norton
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18:23Edward C. Norton, PhD, University of Michigan Health Management and Policy, discusses Instrumental Variables and Heterogeneous Treatment Effects with JAMA Statistical Editor Roger J. Lewis, MD, PhD. Related Content: Instrumental Variables and Heterogeneous Treatment Effects
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#140 NFL Analytics & Teaching Bayesian Stats, with Ron Yurko
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1:33:01Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
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Age Gaps: How much does age matter in dating?
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49:42Are we all secretly ageist when it comes to dating? We put the stereotype that older men prefer younger women under the microscope using data from thousands of blind dates. What we found surprised us: the “age penalty” was real but microscopic, women wanted younger partners too, and hard age cutoffs weren’t so hard after all. Along the way, we unpa…
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2_Collecting Data and Sampling (Video)
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44:42In this episode of "Collecting Data and Sampling," the complexities of sampling in research are explored, drawing an intriguing parallel to casual weekend trips to Costco for free samples. This analogy sets the stage for a deeper discussion on the statistical methods and challenges involved in sampling populations for research purposes. The intrica…
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This episode provides a comprehensive introduction to statistical concepts and how they relate to social science research. Professor Fulton discusses the course objectives which include teaching listeners to gather, describe, analyze, and interpret data. The episode highlights the selection of an intuitive textbook designed to make the learning pro…
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continue reading
In this episode of "Collecting Data and Sampling," the complexities of sampling in research are explored, drawing an intriguing parallel to casual weekend trips to Costco for free samples. This analogy sets the stage for a deeper discussion on the statistical methods and challenges involved in sampling populations for research purposes. The intrica…
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Dive into the intriguing world of social statistics with our latest podcast episode, "Experiments and Observations," where we unravel how variables from the General Social Survey (GSS) can shape our understanding of societal behaviors and beliefs. Join our hosts as they explore fascinating variables such as LAW1, which probes experiences with robbe…
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In this episode of the podcast titled "Variables," we delve into the intriguing world of statistics and sociology, exploring how different variables can profoundly influence our understanding of societal trends and behaviors. The discussion kicks off by examining the relationship between air pollution and the proportion of paved versus grassy groun…
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In this insightful episode of "Distributions and Relationships," listeners are guided through essential statistical concepts crucial for academic assessments and research. The discussion emphasizes the importance of precisely addressing questions as posed in assignments and exams, stressing that exceeding or misinterpreting questions can detract fr…
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6_Confidence Intervals (Part 1 of 2)
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49:09Join us for the opening episode of our two-part series on "Confidence Intervals" in this enlightening podcast episode. We explore the fundamental concepts of statistical inference, using real-life examples like the correlation between smoking and health to illustrate negative correlations in data analysis. This episode provides a thorough explanati…
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7_Confidence Intervals (Part 2 of 2)
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44:20In this episode of our podcast, we delve deeper into the concept of “Confidence Intervals,” focusing on how statistical inference can help us estimate population parameters based on sample data. Building on the foundation laid in part one, we explore the roles of population parameters like mean and proportion, and how they can be estimated using sa…
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Welcome to the first episode of our three-part series on “Hypothesis Testing”. This episode dives into the complexities of hypothesis testing, an essential aspect of statistical analysis, through a live classroom setting. We witness a dynamic teaching session where students engage with challenging concepts like hypothesis formulation, sample statis…
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In this enlightening episode of our educational podcast, we continue our exploration into the fundamental aspects of statistics with the second segment in our three-part series on "Hypothesis Testing." Our host expertly navigates through the complexities of hypothesis testing in statistics, focusing on the essential question: What is the probabilit…
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In this engaging final episode of our three-part series on “Hypothesis Testing,” we delve into the intricate world of statistical significance, sample sizes, and hypothesis testing errors. Our host, alongside guest statisticians, breaks down complex concepts into understandable segments, focusing on how different sample statistics like means and pr…
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In this episode, Professor Fulton begins by clarifying the key elements that define a distribution: shape, center, and spread. Highlighting how these elements can significantly inform our understanding of data without delving into complex numerical details, the discussion progresses to more specific statistical methods, such as random sampling and …
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In this episode of our podcast, we delve into the essentials of "Normal Distributions," a fundamental concept in statistics that influences various aspects of data analysis. We start by discussing the performance on a recent exam, highlighting how understanding early lessons forms the foundation for more complex topics. The focus then shifts to qua…
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13_Inference for Categorical Variables (Part 1 of 2)
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41:17In this enlightening first episode of our two-part series on "Inference for Categorical Variables," we delve into essential statistical methods for analyzing categorical data. This discussion centers on foundational concepts such as sample statistics, standard errors, significance levels, and their pivotal roles in hypothesis testing. Through pract…
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14_Inference for Categorical Variables (Part 2 of 2)
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38:45In the concluding segment of our series on “Inference for Categorical Variables”, we delve into the intricate details of statistical analysis with a focus on correlation and differences in proportions. This episode is packed with valuable insights for anyone keen on deciphering how to interpret correlation values, particularly their direction, magn…
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15_Inference for Quantitative Variables (Part 1 of 2)
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45:01In this episode, titled "Inference for Quantitative Variables," we embark on the first segment of a two-part series dedicated to demystifying statistical analysis. Our discussion dives into hypothesis testing and confidence intervals through a practical examination of the General Social Survey (GSS) data. We focus on comparing educational achieveme…
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16_Inference for Quantitative Variables (Part 2 of 2)
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38:31In the concluding segment of our two-part series on “Inference for Quantitative Variables”, this episode dives into the finer details of the normal distribution. Building on our exploration of sample means, we shift our attention to differences in means and correlations. The discussion methodically unpacks the calculation of standard error when com…
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In this episode of the podcast, we delve into the world of statistics with a detailed discussion on “Chi Square Tests”. Our conversation begins by exploring how categorical variables like happiness can be quantitatively analyzed through statistical methods. We discuss the concept of ordered categorical variables, using happiness as a case study to …
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18_Understanding ANOVA: Exploring Variance Analysis in Statistical Inference
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40:16In this episode of our podcast, we delve into the intricate world of “ANOVA (Analysis of Variance),” a cornerstone statistical method used for discerning differences between group means across multiple categories. Our expert demystifies the math behind comparing variances within and between groups, offering a step-by-step explanation that caters to…
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19_Multiple Comparisons: Delving Deeper with ANOVA
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31:47Dive into the intricacies of statistical analysis in this episode of "Multiple Comparisons," where we explore the process of ANOVA (Analysis of Variance) and its application to multiple comparisons in academic fields. Following our previous discussion on ANOVA basics, today we focus on identifying specific group differences after establishing that …
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20_Simple Linear Regression (Part 1 of 2)
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52:05In this episode of our podcast, we delve into the essentials of “Simple Linear Regression,” a cornerstone analytical technique in both statistics and sociology. In this episode our focus is on understanding and applying mathematical models to predict outcomes based on given data. Today, we're specifically tackling the linear model, which assumes a …
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21_Simple Linear Regression (Part 2 of 2)
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44:43In this concluding episode of our two-part series on “Simple Linear Regression,” we dive deeper into the intricacies of building and interpreting linear regression models. As the final lecture before the exam, our host emphasizes the importance of proper interpretation of regression results, distinguishing between sample and population models, and …
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In this episode, Professor Fulton reviews the statistical methods of calculating confidence intervals and hypothesis tests, exploring the vital role of the standard error in these processes. As we break down complex statistical terms and methods, we also introduce three different techniques for estimating standard error, including bootstrap simulat…
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23_Multiple Regression (Part 1 of 2)
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33:16Dive deep into the world of statistical analysis with this enlightening episode of our educational podcast, where we explore the intricacies of “Multiple Regression.” Building on our previous discussions on simple linear regression, this episode delves into scenarios involving multiple predictors to understand complex relationships between variable…
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24_Multiple Regression (Part 2 of 2)
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38:10In the concluding part of our two-part series on “Multiple Regression,” we dive deep into the practical challenges of applying statistical theories to social research. This episode focuses on the intricacies of constructing hypotheses, selecting variables, and the importance of a solid theoretical foundation. Listeners will gain insights into the s…
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BITESIZE | Is Bayesian Optimization the Answer?
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25:13Today’s clip is from episode 139 of the podcast, with with Max Balandat. Alex and Max discuss the integration of BoTorch with PyTorch, exploring its applications in Bayesian optimization and Gaussian processes. They highlight the advantages of using GPyTorch for structured matrices and the flexibility it offers for research. The discussion also cov…
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#139 Efficient Bayesian Optimization in PyTorch, with Max Balandat
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1:25:23Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
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BITESIZE | What's Missing in Bayesian Deep Learning?
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20:34Today’s clip is from episode 138 of the podcast, with Mélodie Monod, François-Xavier Briol and Yingzhen Li. During this live show at Imperial College London, Alex and his guests delve into the complexities and advancements in Bayesian deep learning, focusing on uncertainty quantification, the integration of machine learning tools, and the challenge…
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Your Brain on AI: Is ChatGPT making us mentally lazy?
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1:14:07ChatGPT is melting our brainpower, killing creativity, and making us soulless — or so the headlines imply. We dig into the study behind the claims, starting with quirky bar charts and mysterious sample sizes, then winding through hairball-like brain diagrams and tens of thousands of statistical tests. Our statistical sleuthing leaves us with questi…
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Factorial Clinical Trial Designs With Dr Ciolino
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19:07Jody D. Ciolino, PhD, Northwestern University, Feinberg School of Medicine discusses Factorial Clinical Trial Designs with JAMA Statistical Editor Roger J. Lewis, MD, PhD Related Content: Factorial Clinical Trial Designs Reporting of Factorial Randomized Trials
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#138 Quantifying Uncertainty in Bayesian Deep Learning, Live from Imperial College London
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1:23:10Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
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BITESIZE | Practical Applications of Causal AI with LLMs, with Robert Ness
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25:28Today’s clip is from episode 137 of the podcast, with Robert Ness. Alex and Robert discuss the intersection of causal inference and deep learning, emphasizing the importance of understanding causal concepts in statistical modeling. The discussion also covers the evolution of probabilistic machine learning, the role of inductive biases, and the pote…
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The Backfire Effect: Can fact-checking make false beliefs stronger?
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58:26Can correcting misinformation make it worse? The “backfire effect” claims that debunking myths can actually make false beliefs stronger. We dig into the evidence — from ghost studies to headline-making experiments — to see if this psychological plot twist really holds up. Along the way, we unpack interaction effects, randomization red flags, and wh…
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#137 Causal AI & Generative Models, with Robert Ness
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1:38:19Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
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