Podcasts about confidence intervals

Dawgman.com's Jack McCauley and Luke Mounger get into the holiday spirit this week with their Thanksgiving game week preview, but it's not the Apple Cup! Now that both Oregon and Washington are in the Big Ten and Washington State is in the college football wilderness, it's time to turn the page and look at the rivalry between UO and UW as the true big Pacific Northwest rivalry game. But before they go into the meat of the game against the No. 1 Ducks, the guys recap the UCLA win at Husky Stadium that got the Huskies to bowl eligibility. And that chat folds right into one of the big conversations for Washington fans this week; should Demond Williams start at quarterback instead of Will Rogers? The conversation then merges into a breakdown of Washington's defense and what they can try and do to stop a potent Oregon attack, and then the tables are flipped. What can Washington's offense do against Oregon's stout defense, especially their pass rush? After a break, the guys go into the players they expect to shine in their Bet to Bark segment, and then go into their Betting B1G talk where they look at other conference games and compare their season-long predictions. And then to finish up they go into their Confidence Intervals, which measures just how good they are feeling about a Washington win in Eugene. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

The Dawgman interns - Jack McCauley and Luke Mounger - are back to dissect Washington's weekend opponent, and this week it's the USC Trojans. After their loss at Indiana, the Huskies are back to the drawing board to try and figure out a way to get past their current losing streak. And usually when the USC Trojans come into town, that would a recipe for another loss. But these aren't your mother's Trojans. Under Lincoln Riley, they've been downright average the last season-and-a-half. Both Jack and Luke break down the game in general and offer their thoughts on what UW can try and do on both sides of the ball to help slow the Trojans down. How big will Jonah Coleman be in this game, especially after everyone saw Dillon Johnson run wild at USC last season and their run defense hasn't really improved all that much considering opposing offenses are also throwing the ball pretty well against the Trojans. And can UW slow USC down to give the offense enough chances to score touchdowns instead of field goals? USC is currently 16th in the country when it comes to passing offense, and they'll be going up against statistically the best pass defense in the country. Can Washington continue to show they do have one of the best pass defenses in the country, especially when you start to list all the weapons USC quarterback Miller Moss has to throw to? After a quick break, the guys offer up their Bets to Bark - the UW players they expect will impact the game the most - as well as their Betting B1G segment. And then to wrap up the game preview, Jack and Luke offer up their Confidence Intervals. It's how strongly they believe in a UW win. Needless to say, this week's confidence intervals aren't quite at the same level as they have been most of the year, but they do feel a little bit more confident about a home win compared to the last two weeks when the games were away from the friendly confines of Husky Stadium. The guys then quickly give a nod to the UW Men's Basketball team, whose season starts this coming Tuesday against UC Davis.  To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

The Dawgman interns - Jack McCauley and Luke Mounger - are back to dissect Washington's weekend opponent, and this week it's the Indiana Hoosiers. But before they take a deep dive into everything IU Football, they also provide a quick update into their College Football '25 dynasty mode endeavors. After a bye week, UW goes back on the road to square off against the No. 13 Indiana Hoosiers, but the Hoosiers will be without starting quarterback Kurtis Rourke. How do the guys see Rourke's absence affect the game? What can UW do to try and slow down backup QB Tayven Jackson? The bye week also had to have helped get some Huskies back for this game, including EDGE Zach Durfee. Both Jack and Luke break down the game in general and offer their thoughts on what UW can try and do on both sides of the ball to help slow the Hoosiers down. After a quick break, the guys offer up their Bets to Bark - the UW players they expect will impact the game the most - as well as their Betting B1G segment. And then to wrap up the game preview, Jack and Luke offer up their Confidence Intervals. It's how strongly they believe in a UW win. Needless to say, this week's confidence intervals aren't quite at the same level as they have been most of the year. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

In this week's episode Greg and Patrick talk about confidence intervals: symmetric and asymmetric, asymptotic and bootstrapped, how to interpret them, and how not to interpret them. Along the way they also mention tire pressure gauge mysteries, conference travel reimbursement, phases of the moon, gyroscopic effects, baseball walk-of-shame, why people hate us, settling out of court, confidence tricks, Mack JcArdle, Shakespearean means, lipstick on a pig, the cat rating scale, the Miller's Tale, hot pokers, inverse hyperbolic tangents (duh), and Quantitude out-takes. Stay in contact with Quantitude! Twitter: @quantitudepod Web page: quantitudepod.org Merch: redbubble.com

Ben Recht is a professor at UC Berkeley. You know, the place that has all those parking spaces for the Nobel laureates. He understands the innards of math. And that is exactly why he explained that doctors who use evidence don't have to get bogged down in technicalities. I reached out to Ben to discuss a complicated but provocative statistical paper in NEJM evidence. But we mostly talk basics. Ben writes at his Substack arg min This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.sensible-med.com/subscribe

A paper coffee cup, George Foreman Grill, human burgers, Make-A-Wish wishes, sugar AIDS, throwing stacks of $100 bills out a car window, meta analysis, raw water, two million dimes, hit man names, epoxy condom, gyoza king, asking to jerk off in a convenience store bathroom, cat fur bed sheets Double X Quantimino A paper coffee cup George Foreman Grill Human burgers You're a Make-A-Wish kid and your wish is going to be granted. Sugar AIDS, Chasr, Got Bugz A man threw stacks of $100 bills from his car window in a wild show of generosity. His family says he drained their bank accounts, leaving them broke. Meta-analysis, Part 1: Testosterone treatment not linked to short-, medium-term CV events in men Meta-analysis, Part 2: Sex after menopause doesn't need to hurt Urechis caupo This Is The Newz Trendy “raw water” source under bird's nest sparks diarrheal outbreak Police search for group of suspects who stole 2 million dimes from truck in Northeast Philadelphia Tennessee Air National Guardsman applied to be a hit man on a website - and got arrested Hitman names: Montezuma's Revenge, Gloom and Doom, Ambivalence, Brian Shrimp Man dies after having sex using epoxy adhesive instead of a condom Burrito's Nippon Newz Kyoto police issue arrest warrant in nine-year-old murder of Japan's gyoza king Teacher in Japan politely asks to use convenience store bathroom to jerk off, gets arrested Japan created bed sheets that feel like petting a cat, and they sold out immediately Deepfake Sponsors: Julio Tejas, Booba Gettz The Crazy One, Thicccum Farmz

Today's episode features special guest, Olivia Urquhart, who is a faculty member at Penn Dental Medicine's Center for Integrative Global Oral Health as well as an epidemiologist by training. Along with her professional background, Oliva also has a passion for biostatistics. In today's episode, she will discuss the topic of Confidence Intervals with host Dr. Alonso Carrasco-Labra.Olivia and Alonso discuss common misconceptions with confidence intervals, what various percentages mean in terms of confidence levels, and how confidence intervals can be applied in daily practice.To view this episode's corresponding video of "Statistics with Hans & Hera," please visit the following link: https://youtu.be/PLey2iA4Vl0

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.02.25.529586v1?rss=1 Authors: Skerswetat, J., He, J., Shah, J. B., Aycardi, N., Bex, P. J. Abstract: Purpose: Visual acuity (VA) is a critical clinical endpoint, however tests typically require trained staff, are fixed in their range, and provide only limited information about individual performance. This study introduces the Angular Indication Measurement and applies it to VA (AIM-VA). Agreement, repeatability, and test duration of AIM-VA were compared to standard clinical tests. Methods: 29 and 22 adults took part in two separate experiments. 4*4 charts with Landolt-C optotypes of varying sizes and random gap-orientations were presented at 4m viewing distance. Optotype size was response-adaptively updated after each chart. Participants indicated the perceived gap location by clicking on the corresponding location on a surrounding response-ring and VA was estimated from the report errors as a function of target size. First, we compared AIM-VAs with that of ETDRS and FrACT. Second, we compared repeatability over two tests of AIM-VA and ETDRS. AIM-VA-specific psychometric functions generated a new parameter called range of stimulus detectability improvement (ROSDI) that represents the range over which VA varies with target size. Results: There were no significant differences among VA estimates from AIM, ETDRS and FrACT. AIM-VA's test-retest repeatability was comparable to that of ETDRS (95% Confidence Intervals in logMAR: AIM-VA [0.18 / -0.15] when using 3 adaptive steps and ETDRS [0.18 / -0.11]). Median ROSDI was {+/-}0.14logMAR 0.03. Test duration was not significantly different for AIM-VA and ETDRS, the latter being significantly faster than FrACT. Conclusions: AIM-VA estimates of VA were equivalent to FrACT and ETDRS. AIM-VA can be estimated in approximately the same time as ETDRS and with comparable test-retest reliability. AIM-VA is an intuitive, self-administered, adaptive, and personalized method that provides reliable and repeatable estimates of VA and additional performance outcomes. AIM's orientation judgement approach is generalizable to interrogate many other visual functions, e.g., contrast, color, motion, stereo-vision. Copy rights belong to original authors. Visit the link for more info Podcast created by Paper Player, LLC

Some of our topic highlights include:Confidence intervals and precision needs vs wantsThe Spam bot problem and issuing correctionsShipping to vision vs shipping to need (and knowing when to say no)Market-based economy for data asks The Microsoft SQL servers conAnalytics-driven change rather than product team-driven changeAs always, I'd love to hear your thoughts on the episode over on Twitter @borisjabes.Want to discuss the best practices we covered in this episode? Come hang out in The Operational Analytics Club, where all your favorite data leaders gather to sharpen their skills. Know someone that you think would be an awesome guest on The Show (hint: you can totally nominate yourself)? Reach out to our content and community team. Resources:Benn on LinkedInBenn on TwitterBenn's blogMode on LinkedInMode on TwitterMode's websiteMusic by the talented Joe Stevens: https://www.joestevenssound.com/

Jem Arnold is a physiotherapist, coach and PhD student. Currently, his main research focus is investigating FLIA: blood flow limitation of the iliac artery, a condition that affects certain athletes even at the very elite level, sometimes with surgery as the end outcome. Jem is also very involved and knowledgeable in using NIRS (near-infrared spectroscopy) to measure muscle oxygen saturation (SmO2). We dive deep into how using NIRS and SmO2 can inform workout execution as well as training interventions and athlete profiling.     IN THIS EPISODE YOU'LL LEARN ABOUT: -What is NIRS and what is muscle oxygen saturation?  -The balance of oxygen delivery (to the capillaries surrounding muscle tissue - supply) and extraction (by the muscles from the capillaries - demand) -NIRS testing protocols, and how it relates (and does not relate) to oxygen uptake (VO2) and lactate measurments -Using NIRS to profile athletes  -Using NIRS in high-intensity workouts to optimise interval execution  -Blood flow limitation of the iliac artery (FLIA) - what is it, and what is its prevalence among athletes -Risk factors for FLIA -Current detection and diagnosis methods of FLIA, as well as treatment options -How Jem's research aims to find methods by which FLIA detection can be improved SHOWNOTES: https://scientifictriathlon.com/tts358/ SCIENTIFIC TRIATHLON AND THAT TRIATHLON SHOW WEBPAGE: www.scientifictriathlon.com/podcast/ SPONSORS: ROKA - Exceptional quality triathlon wetsuits, trisuits, swimskins, goggles, performance sunglasses as well as prescription eyeglasses and sunglasses.  Online vision test for prescription updates and home try-on options available for eyeglasses. Ships from the US, UK and EU. Trusted by world-leading athletes such as  Lucy Charles-Barclay, Javier Gómez Noya, Flora Duffy, Morgan Pearson, Summer Rappaport and others in triathlon, cycling, speed skating, and many more. Visit roka.com/tts for 20% off your order. ZEN8 - The ZEN8 Indoor Swim Trainer is a unique swim bench that allows you to improve technique, power, and swim training consistency. With the trainer you can do specific power and technique work, including working on your catch and your core activation, and it makes it easier to stay consistent even when you can't go to the pool. Get the special Zen8 x TTS bundle including the swim bench and a number of Zen8 training plans and on-demand workouts on zen8swimtrainer.com/tts. LINKS AND RESOURCES: Jem's Twitter, email, and his blog Sparecycles Muscle Oxygen Saturation (SmO2) with Roger Schmitz | EP#85 What types of intervals are most effective? A scientific analysis with Michael Rosenblat | EP#243 Applied triathlon science with Olav Aleksander Bu (Norwegian Triathlon Olympic team) | EP#264 Moxy - well-established NIRS device Train.Red - another NIRS device also used and recommended by Jem Comparing the Respiratory Compensation Point With Muscle Oxygen Saturation in Locomotor and Non-locomotor Muscles Using Wearable NIRS Spectroscopy During Whole-Body Exercise - Yogev et al. 2022 A longitudinal study on the interchangeable use of whole-body and local exercise thresholds in cycling - Caen et al. 2022 Thresholds, Constructs, and Confidence Intervals - blog post by Jem Why is there Two Different Moxy Monitor SmO2 Profiles? w/ Jem Arnold - UTH1 - Upside Strength Podcast Maxima MC self-check questionnaire for FLIA (flow limitation of the iliac artery) Short- and long-term results of operative iliac artery release in endurance athletes - van Hooff et al. 2022 Rejuvenated and recharged: Tayler Wiles eyeing return to the pro peloton after surgery - Velonews article Feature: Arterial disease and cycling - Velonews article Cyclists' Iliac Syndrome - Interest group - Facebook group Cyclist Alliance - List of international vascular specialists with experience in FLIA RATE AND REVIEW: If you enjoy the show, please help me out by subscribing, rating and reviewing: www.scientifictriathlon.com/rate/ CONTACT: Want to send feedback, questions or just chat? Email me at mikael@scientifictriathlon.com or connect on Instagram, Facebook, or Twitter.

There are 3 more months for 2021. What do you want to create for the end of this year? My WORD for Quarter 4 2021 is CONFIDENCE. Every quarter I choose a new word to create a theme for the quarter that I'm about to walk into. My word for quarter 3 was POWER. I got really curious about power, what it is, how it shows up, and how it can contribute to my life? By asking those questions, I discovered so much about what is required for my life. In order to move into an expanded quarter 4, CONFIDENCE is required. How to find your quarter word > Ask the following question: What do I need to be or do to create a quarter 4 that will create more for your life? Ask this question and be open to what shows up for you? Life always has your back!Life always wants you to win!Life is always working out for you!  Create a bigger quarter 4...pause, ask a question, get curious, and follow the lightness. Ask a question. It'll get better!   If you enjoyed this episode, make sure and give us a five star rating  and leave us a review on iTunes, Podcast Addict, Podchaser and Castbox.Let's Connect:The Get Up GirlInstagramFacebookMonthly online fitness academy

This week I will chat about how a little old man in Walgreens inspired me, how I have made my life easier with timers, and ways I am like my mother. I hope everyone has a safe and happy Mother's Day. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app

Audio Only Version of Behavior of Confidence Intervals for a Proportion For More info: https://blogs.lt.vt.edu/jmrussell/topics/ --- Support this podcast: https://anchor.fm/john-russell10/support

Audio Only Version of Intro to Confidence Intervals For Video: https://www.youtube.com/channel/UCHVyc1NJuYvzpoom-L3nBpg/ For More info: https://blogs.lt.vt.edu/jmrussell/topics/ --- Support this podcast: https://anchor.fm/john-russell10/support

Audio Only Version of Behavior of Confidence Intervals for the sample mean For Video: https://www.youtube.com/channel/UCHVyc1NJuYvzpoom-L3nBpg/ For More info: https://blogs.lt.vt.edu/jmrussell/topics/ --- Support this podcast: https://anchor.fm/john-russell10/support

In episode 75 of Wrong, but Useful, we talk with @astrastefania, who is Stefania Delprete in real life. We discuss: Dreams about Maths and doing Maths in lucid dreams Goodreads maths reading challenge Newsletters I like: Stuff Evelyn Wants You To Read by @evelynjlamb and and Fair Warning by @SophieWarnes Is a parallelogram a trapezium? (via @cshearer41) via @jamesgrime: The bullseye illusion RI Christmas lectures with @fryrsquared How do you describe Confidence Intervals? How damaging is to say “I'm 95% sure that mu is between ‘here' and ‘here' “? We reference The Maths of Life and Death. via @MrShepherd Maths […] The post Wrong, but Useful: Episode 75 appeared first on Flying Colours Maths.

Greg and Patrick plan the episode around one topic, but things take an unexpected turn as the episode rapidly devolves into a series of pop quiz questions thrown from Patrick at Greg and back again. Rules of engagement are negotiated on the spot: without preparation, each person has 90 seconds to respond to a question of the other's choosing, which is in turn graded and argued over. Pop Quiz questions wind up addressing a range of topics that are core to understanding the thoughtful application of statistics within any research application. Bruised but not broken, Greg and Patrick agree that they will meet again in the academic octagon, bringing Pop Quiz back to QPod ... when you least expect it.

Richard Selfridge and James Pembroke’s monthly look at Education Data. EIF updates: Dan Morrow in Schools Week (https://schoolsweek.co.uk/ofsteds-new-framework-from-watchdog-to-service-dog/) and Geoff Barton in TES (https://www.tes.com/news/im-holding-my-nerve-my-support-new-ofsted) ISDR: School inspection data summary report (IDSR) guide https://www.gov.uk/guidance/school-inspection-data-summary-report-idsr-guide Progress Measures: Becky Allen - What if we cannot measure pupil progress? (https://rebeccaallen.co.uk/2018/05/23/what-if-we-cannot-measure-pupil-progress) James Pembroke - Should progress measures be scrapped for primary schools? (https://www.sigplus.co.uk/2019/05/should-progress-measures-be-scrapped-for-primary-schools/) Confidence Intervals: Richard Selfridge - How Sig +/- is calculated and why it does not mean what you might think (https://icingonthecakeblog.weebly.com/blog/how-sig-is-calculated-and-why-it-does-not-mean-what-you-might-think) Scientist Rise Up Against Statistical Significance (https://www.nature.com/articles/d41586-019-00857-9) Databusters on Tour: We’re in Boston, Lincolnshire, on 20th November (https://www.eventbrite.co.uk/e/databusting-lincolnshire-tickets-74819349689), Rothley, Leicestershire on 22nd January (https://www.eventbrite.co.uk/e/databusting-leicestershire-tickets-74838490941) and in Liverpool on 30th January (https://www.eventbrite.co.uk/e/databusting-liverpool-tickets-75735160905) Get in touch via https://twitter.com/Jack_Marwood or https://twitter.com/Jpembroke Leave us a voice message here: https://anchor.fm/databusters/message --- Send in a voice message: https://anchor.fm/databusters/message

Confidence Intervals (Part 2 of 2) --- Send in a voice message: https://anchor.fm/statistics/message

Confidence Intervals (Part 1 of 2) --- Send in a voice message: https://anchor.fm/statistics/message

Three topics are featured in this episode: first, statistics about Super Bowl LIII, including what was in the bowls as the game happened; second, a fun activity for teaching confidence intervals; finally, we present some online sources for data. --- Send in a voice message: https://anchor.fm/databytes/message Support this podcast: https://anchor.fm/databytes/support

Ever read a paper and feel a bit confused about all the statistical jargon and how to properly interpret the findings? At NEJM Resident 360, we’re trying something new and bringing you Statistical Review which aims to cover some key areas in research methodology and trial design. On this episode, we aim to cover basic ground over study...

Join Dr. Brian Kriegler as he discusses how resampling and bootstrapping are used to determine confidence intervals.

In this live recording of the eighth #UnblindingResearch session on 'Outcome Measures, Confidence Intervals and p values' from DREEAM through a made up beta blocker 'Superlol' we go through: - p values and significance - how mean values move and standard error of the mean - how outcome measures are made and revisiting QALYs Don't be mean and bear the pressure! The blog entry containing the slides, #TakeVisually and more info can be found at https://www.takeaurally.com/new-blog-1/2018/9/30/outcome-measures Subscribe to Take Aurally on SoundCloud and iTunes Remember you can find Take Aurally and NUH DREEAM on both Facebook and Twitter The amazing DREEAM Research Team can be found on both Facebook and Twitter Our next #UnblindingResearch session will be on Randomisation on 21st November 1000-1100 in DREEAM. Next week's episode will be on Cardiac History Taking

In this live recording of the seventh #UnblindingResearch session on 'Sampling' from DREEAM through the medium of Gummy Bears we go through: - the principles of sampling and why we do it - significance and power and how we quantify them - how sample size is calculated Hopefully this session will help you to bear sampling! The blog entry containing the slides, #TakeVisually and more info can be found at https://www.takeaurally.com/take-visually/2018/9/5/unblindingresearch-session-seven-sampling Subscribe to Take Aurally on SoundCloud and iTunes Remember you can find Take Aurally and NUH DREEAM on both Facebook and Twitter The amazing DREEAM Research Team can be found on both Facebook and Twitter Our next #UnblindingResearch session will be on Outcome Measures, Confidence Intervals and p values on 17th October 1000-1100 in DREEAM. Next week's episode will be our second Redthread special!

From Gottlieb's recent paper regarding agents for restoration of sinus rhythm in SVT, published in the Annals of Emergency Medicine, what about the 95% confidence intervals made the results statistically insignificant?  References and relevant resources http://CriticalAppraisalLowdown.co.uk http://theresusroom.co.uk/papers-of-january-18

Show Notes Welcome to our latest installment of our [JC Series]! In this episode we cover THERAPY: Does a given intervention have a meaningful effect on patient outcomes?We also have some SISSoL (STATS IN 60 SECONDS OR LESS) topics cooking for you: Risk, Confidence Intervals and the Number Needed to Treat. Listen & take a look at our show notes for more information: Pulmcast.com

Prof. Guttag continues discussing Monte Carlo simulations.

Agronomy is a noun.  It means the science of soil management and crop production. Biology is a natural science concerned with the study of life and living organisms, including their structure, function, growth, evolution, distribution, identification and taxonomy.  When an agronomist and a biologist get together to think up what deer really need to survive and flourish, look out, the brain waves might be radioactive.  Stand too close and you will learn lots about proper whitetail nutrition.  Jason Obermiller, a teacher and taxidermist with a Master's Degree in Biology, and Eric Fitzgerald, a full time agronomist, teamed up to develop what might be the deer supplement industry's most thought out, most well designed deer supplement on the market today.  Jason's thesis in college focused on a new way quickly age younger deer and soon after focused further studies on deer supplements currently on the market.  Jason can also tell you plenty about the health of a whitetail based on the feel of a antler (he's examined many as a taxidermist). Eric can read a soil report and tell you exactly what you need to make crops grow to their fullest potential.  Jason and Eric dive deep in this show explore many aspects of what a whitetail needs for complete nourishment in a herd and explain what you can and shouldn't do to help the overall health of the deer in your specific area. OUR SPONSORS: Advanced Takedown Treestands www.AdvancedTreestands.com Morse's Sporting Goods www.MorseSportingGoods.com DEER NEWS: Maryland Approves Air Bow for Next Firearms Season Cherokee Man Offers Reward for Poaching Case 16 Individuals in Violation of Utah's Shed Hunting Ban Scent Blocker Overturns ScentLok Suit HERE'S WHAT WE DISUCSS: Loup City, Nebraska and High School  A Masters in Biology, and Professional Taxidermist Pedicle Measurement, Age, and Health The Agronomist, Certified Crop Advisor Bowhunting, Finding Agronomy Thru Goose Hunting Jason's Thesis - A Natural Love of Hunting and Deer Deer Attractant Studies and Antler Growth Shed Pedicle Diameter Confidence 70-80% Confidence Intervals, Genetics Takes Over at 3.5 Years Underlying Facts About Nutrition Studies What is an Agronomist? Maximizing $$$ 12" Core Soil Samples What To Do with an Agronomist's Report Fertilizer, Microbes, and Micro Nutrients Hog Operations and High Phosphorous What is pH and Why Is It Important? Liming, True Nutrition for Deer Herds What Are My Deer Missing? Calcium, Phosphorus, Best Time of Year for Supplemental Feeding False Carrying Capacity for Wildlife The Importance of Balanced Minerals How Jason Developed Rackology and Formulas The Average Joe Price Point and the 5 Gallon Bucket Does and Control Plot Science Tests Deer Health Starts at Conception What's a Good Blend VS a Bad Blend? Why Ratios are So Important What is Chelation, Why Protein? Sticky Velvet, and Yucca Deer Stories and 10 Rapid Fire Questions Our APP: www.BigBuckRegistry.com/app Help Support This Show: www.BigBuckRegistry.com/pledge FEEDBACK HOTLINE: 724-613-2825 REVIEW and SUBSCRIBE on iTUNES and Stitcher: www.BigBuckRegistry.com/itunes www.BigBuckRegistry.com/stitcher Want to Know When the Next Big Buck Podcast is Released? Then Join the Club: www.BigBuckRegistry.com/huntmail Submit A Buck: www.BigBuckRegistry.com/mybuck Be a Guest: Guests@BigBuckRegistry.com Share for Share: www.BigBuckRegistry.com/s4s Facebook: www.Facebook.com/bigbuckregistry Twitter: www.twitter.com/bigbuckregistry Feedback:Feedback@BigBuckRegistry.com Also find us on these fine networks:  Blubrry Libsyn TuneIn  CREDITS: This Show was Written, Edited, and Produced by Jason “Jay” Scott Ammann Deer News Written and Recorded by Jim Keller Chubby Tines Tip of the Week Written by Dusty Phillips

Video tutorial created by students as part of the class final project.

Video tutorial created by students as part of the class final project.

Commute times and BBQ invites help frame a discussion about the statistical concept of confidence intervals.

How confident are you with confidence intervals? Perhaps not 95%.... In this podcast Rob Radcliffe explains what confidence intervals are, how to interpret them and how they provide a deeper understanding of data and the p value. Essential viewing for any student, trainee or consultant/attending reading a scientific paper and wanting to interpret the data correctly. Rob Radcliffe is a former maths teacher and is now a trainee in Urology in the East Midlands, UK

Joan Stephenson, PhD, discusses Confidence Intervals with Dr Gordon Guyatt.

Right Click to Download this Video In this episode of Engineer In Training Exam TV we will reinforce your understanding of Confidence Intervals. We will begin by defining Confidence Intervals and then run through a few example problems. CLICK HERE to get immediate access to the FREE “EIT PREPARATION BOOT CAMP” and get yourself started on […] The post Confidence Intervals – Fundamentals of Engineering Exam Review appeared first on Prepineer.

Testing Hypotheses confidence intervals

Testing Hypotheses confidence intervals

Confidence Intervals for Proportions

Data Analysis - Herkenhoff

Confidence Intervals for Proportions

Four powerful generalizations of the usual local polynomial nonparametric regression methodology are (a) local polynomial methods in generalized linear models; (b) varying coefficient generalized linear models, where the possibly multivariate coefficients in a generalized linear model are estimated nonparametrically; (c) local likelihood methods; and (d) local estimating equations, which generalize nonparametric regression to the estimating equation context. We construct bootstrap confidence intervals for the nonparametrically estimated functions in all four contexts.

The sandwich estimator, often known as the robust covariance matrix estimator or the empirical covariance matrix estimator, has achieved increasing use with the growing popularity of generalized estimating equations. Its virtue is that it provides consistent estimates of the covariance matrix for parameter estimates even when the fitted parametric model fails to hold, or is not even specified. Surprisingly though, there has been little discussion of the properties of the sandwich method other than consistency. We investigate the sandwich estimator in quasilikelihood models asymptotically, and in the linear case analytically. Under certain circumstances we show that when the quasilikelihood model is correct, the sandwich estimate is often far more variable than the usual parametric variance estimate. The increased variance is a fixed feature of the method, and the price one pays to obtain consistency even when the parametric model fails. We show that the additional variability directly affects the coverage probability of confidence intervals constructed from sandwich variance estimates. In fact the use of sandwich estimates combined with t-distribution quantiles gives confidence intervals with coverage probability falling below the nominal value. We propose a simple adjustment to compensate this defect, where the adjustment explicitly considers the variance of the sandwich estimate.

For constructing confidence intervals for a binomial proportion $p$, Simon (1996, Teaching Statistics) advocates teaching one of two large-sample alternatives to the usual $z$-intervals $hat{p} pm 1.96 times S.E(hat{p})$ where $S.E.(hat{p}) = sqrt{ hat{p} times (1 - hat{p})/n}$. His recommendation is based on the comparison of the closeness of the achieved coverage of each system of intervals to their nominal level. This teaching note shows that a different alternative to $z$-intervals, called $q$-intervals, are strongly preferred to either method recommended by Simon. First, $q$-intervals are more easily motivated than even $z$-intervals because they require only a straightforward application of the Central Limit Theorem (without the need to estimate the variance of $hat{p}$ and to justify that this perturbation does not affect the normal limiting distribution). Second, $q$-intervals do not involve ad-hoc continuity corrections as do the proposals in Simon. Third, $q$-intervals have substantially superior achieved coverage than either system recommended by Simon.

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