Search results “Likelihood ratio test interpretation”

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This is not medical advice. The content is intended as educational content for health care professionals and students. If you are a patient, seek care of a health care professional. Kai explains in depth how to calculate likelihood rations using equations and the nomogram method. Pre-Test and Post-Test probabilities are also covered.
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Views: 40900
Physiotutors

See all my videos here: http://www.zstatistics.com/videos/

Views: 8052
zedstatistics

This video provides an introduction to the likelihood ratio test, as well as some of the intuition behind it.
Check out http://oxbridge-tutor.co.uk/undergraduate-econometrics-course for course materials, and information regarding updates on each of the courses. Check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: https://ben-lambert.com/bayesian/ Accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti

Views: 108314
Ben Lambert

Hello friends,
Hope you all are doing great!
This video describes how to compute LR test statistics to compare the fitness of two regression models.
I have used R studio here. But you can use Stata, Eviews, or even MS Excel to compute F-test to compare two regression models.
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Views: 8727
Sarveshwar Inani

How to run a chi-square test and interpret the output in SPSS (v20) when the assumptions have been violated.
ASK SPSS Tutorial Series

Views: 218252
BrunelASK

A light-hearted crash course on how to calculate likelihood ratios in order to understand the utility of a diagnostic test. Developed at the University of Ottawa Faculty of Medicine by Claire Lee under the supervision of Dr. Ian McDowell.

Views: 9794
Claire Lee

http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files.
The likelihood ratio test maximizes the probability of correctly deciding hypothesis H_1 is true for any given probability of deciding H_0 is false when the hypotheses are both simple. Example showing the likelihood ratio test for a known signal in noise is a matched filter.

Views: 60551
Barry Van Veen

Hello friends,
Hope you all are doing great!
This video describes the likelihood ratio test. In next videos, I would describe how to compute LR test statistics.
I have used R studio here. But you can use Stata, Eviews, or even MS Excel to compute F-test to compare two regression models.
Subscribe the channel for such updates
Please visit my blog:
http://learningeconometrics.blogspot.in/
My website
https://sites.google.com/site/sarveshwarinani/
See my research on my Google Scholar profile
https://scholar.google.co.in/citations?user=RIelyLEAAAAJ&hl=en
Ask me questions
[email protected]

Views: 7824
Sarveshwar Inani

#usmle #biostatistics #step3
My Video on Trends Affecting Predictive Values: https://www.youtube.com/watch?v=I86_EQFFYyE
My Video on Calculating PPV and NPV: https://www.youtube.com/watch?v=PkzTlT_5Fws&t=6s
copyright 2017 Seema Sharma
*USMLE is a registered trademark of its respective holder. I am in no way affiliated with it.
Disclaimer: Not for patient information

Views: 1644
MedNStat Reviews for the Boards

Do you fully understand the likelihood ratio? Our Step 1 Express Video of the Week tackles this high-yield topic from the epidemiology and biostatistics section of First Aid for the USMLE Step 1. We invite you to pull out your 2018 edition and open it to page 253 as Daniel Griffin walks you through this method of determining the usefulness of a diagnostic test.
To see more of our Express Videos, we invite you to take the Rx Challenge and take the USMLE-Rx platform for a test drive. Along with sampling our extensive video library and immense collection of flash cards, see why 7 out of 10 students prefer questions from our Step 1 Qbank over test items from the competition. After your trial, you can enter to win a $500 gift card and a one-on-one counseling session with Dr. Tao Le, senior editor of First Aid.
Learn more: http://go.usmle-rx.com

Views: 3390
USMLE-Rx

http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files.
There is no universally optimal test strategy for composite hypotheses (unknown parameters in the pdfs). The generalized likelihood ratio test (GLRT) is a likelihood ratio in which the unknown parameters are replaced by their maximum likelihood estimates. Example of the GLRT for detecting a signal of known shape but unknown amplitude in noise of unknown variance.

Views: 23789
Barry Van Veen

Statistical Inference by Prof. Somesh Kumar, Department of Mathematics, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in

Views: 2322
nptelhrd

Video describing the role of likelihood ratios in diagnostic testing

Views: 54376
Terry Shaneyfelt

Part 3 integrates lessons learned about prevalence and test parameters, to apply them to a case to a specific patient.
The calculators used in this video are from:
mdcalc.com
jamaevidence.mhmedical.com
Clip art is from Microsoft word or freeware online.
Please contact me and reference this like if you are using this content on your website.

Views: 4303
akbashevym

Calculation of a likelihood function for n samples each independent, identically distributed from a Normal distribution (with a known variance).
These short videos work through mathematical details used in the Multivariate Statistical Modelling module at UWE.

Views: 12963
deetoher

Determining accuracy and clinical usefulness of a diagnostic test. If you are interested only in calculating sensitivity and specificity, please see this video: http:--youtu.be-FaIR9vA5AX0

Views: 42016
TheRMUoHP Biostatistics Resource Channel

In DNA identification science, the likelihood ratio (LR) assesses the evidential support for the identification hypothesis that a suspect contributed their DNA to the biological evidence. The LR summarizes the sensitivity and specificity of a statistical test. The LR logarithm is a standard information measure for stating the support for a simple hypothesis (i.e., a single assertion relative to its logical alternative).
After Alan Turing's LR methods cracked the German Enigma code during World War II, LR usage became widespread. The LR is ubiquitous in the physical, biological, social, economic, computer and forensic sciences. First introduced into biological identification through paternity testing, the LR enjoys unparalleled international usage as the most informative DNA mixture statistic.
Yet American crime labs shun the LR, and prefer to report DNA inclusion statistics that they find easier to explain in court. Such "inclusion" methods (variously termed PI, CPI, CPE or RMNE) use less of the DNA data, typically discarding a million-fold factor of identification information. Thus highly informative DNA mixture evidence can be reported as "inconclusive" or assigned an unrealistically low match score. Unfortunately, minimizing DNA evidence leads to a failure to identify criminals, with an adverse effect on public safety.
To make the LR more acceptable to American analysts and their juries, we need more intuitive ways to explain the LR. Fortunately, the LR can be expressed (by Bayes theorem) in several equivalent ways. Stated in plain English, these alternative formulations include:
1. the information gain in the identification hypothesis from the DNA data,
2. how well the identification hypothesis explains the data, relative to its alternative, and
3. our increased belief in a match to a suspect, based on the inferred evidence genotype.
The second LR formulation prevails in forensic DNA. While natural for computers and statisticians, non-mathematicians often find its formulas opaque. In this talk, we describe the other two formulations as intuitive ways to explain the LR simply and accurately. Moreover, these other approaches avoid the dread "transposed conditional." Using DNA case examples, we show how to easily understand the LR, present it in court, and deflect superficial challenges.
For the American public to benefit from the full protective power of DNA identification information, analysts must be able to confidently explain the LR. This talk shows them how.
http://www.cybgen.com/information/presentations/2010/ISHI/Perlin_Explaining_the_likelihood_ratio_in_DNA_mixture_interpretation/page.shtml

Views: 2364
TrueAllele

This video provides an introduction to the Wald test, as well as some of the intuition behind it.
Check out http://oxbridge-tutor.co.uk/undergraduate-econometrics-course for course materials, and information regarding updates on each of the courses. Check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: https://ben-lambert.com/bayesian/ Accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti

Views: 70738
Ben Lambert

Critiquing Diagnostic Studies Using Positive Likelihood Ratios

Views: 918
Snippet Library

A chi-squared test is preferred when correlating two categorical variables, one or both of which are nominal.
This video shows how to compute a chi-squared test and how to interpret the output when assumptions have been violated.
Please see the other chi-squared test video if assumptions have not been violated.

Views: 18044
BrunelASK

NOTE: This video was originally made as a follow up to an overview of Maximum Likelihood https://youtu.be/XepXtl9YKwc . That video provides context that gives this video more meaning.
Here's one of those tricky little things, Probability vs. Likelihood. In common conversation we use these words interchangeably. However, statisticians make a clear distinction that is important to understand if you want to follow their logic. The good news is that they are both super simple. The bad news is that they are easy to get mixed up. The StatQuest gives you visual images that make them both easy to remember so you'll always keep them straight.
For a complete index of all the StatQuest videos, check out:
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If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt...
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https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest

Views: 348134
StatQuest with Josh Starmer

Statistical Inference by Prof. Somesh Kumar, Department of Mathematics, IIT Kharagpur. For more details on NPTEL visit http://nptel.iitm.ac.in

Views: 3615
nptelhrd

Introduction to the Likelihood Ratio Test; Discussion over #37C from ASM manual, SOA #22 and #37.13 from ASM manual

Views: 5382
ACTUARYUTEXAS

Explanation of Negative Likelihood Ratio (LR-)

Views: 875
Snippet Library

This CSAFE Center Wide Meeting webinar was presented by Hal Stern from University of California.
Description: The likelihood ratio has been proposed as a logical way to summarize forensic evidence. In pattern evidence disciplines; however, the application of likelihood ratios is challenging because of the high-dimensional data involved and the lack of relevant probability models (among other issues). Score-based likelihood ratios are one approach to handling the high-dimensional data issue. The webinar reviews likelihood ratios, their role in forensic science and the potential of score-based likelihood ratios

Views: 251
CSAFE forensicstats

video describing the calculation of a negative likelihood ratio

Views: 11725
Terry Shaneyfelt

Subject:Statistics
Paper: Statistical Inference I

Views: 926
Vidya-mitra

Paper: Statistical Inference III
Module: Some further Properties of LRT
Content Writer: Dr. Saurav De

Views: 1039
Vidya-mitra

This video follows from where we left off in Part 1 in this series on the details of Logistic Regression. This time we're going to talk about how the squiggly line is optimized to best fit the data.
NOTE: This StatQuest assumes that you are already familiar with Part 1 in this series, Logistic Regression Details Pt1: Coefficients:
https://youtu.be/vN5cNN2-HWE
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt...
https://teespring.com/stores/statquest
...or buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest

Views: 45753
StatQuest with Josh Starmer

Video demonstrating how to calculate a positive likelihood ratio

Views: 27035
Terry Shaneyfelt

If you hang out around statisticians long enough, sooner or later someone is going to mumble "maximum likelihood" and everyone will knowingly nod. After this video, so can you!
Also, some viewers asked for a worked out example that includes the math. Here it is! (you may need to click on the "Show More" button below to see the link) https://youtu.be/cDlNsHUBmw4
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt...
https://teespring.com/stores/statquest
...or buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest

Views: 243409
StatQuest with Josh Starmer

Check out https://ben-lambert.com/econometrics-course-problem-sets-and-data/ for course materials, and information regarding updates on each of the courses. Quite excitingly (for me at least), I am about to publish a whole series of new videos on Bayesian statistics on youtube. See here for information: https://ben-lambert.com/bayesian/ Accompanying this series, there will be a book: https://www.amazon.co.uk/gp/product/1473916364/ref=pe_3140701_247401851_em_1p_0_ti

Views: 6233
Ben Lambert

How to run a chi-square test and interpret the output in SPSS (v20).
ASK SPSS Tutorial Series

Views: 980005
BrunelASK

For more information on econometrics and Bayesian statistics, see: https://ben-lambert.com/

Views: 950
Ox educ

Brief Introduction to likelihood ratios and how to use them clinically

Views: 552
Justin Adams

1. What is likelihood ratio?
2. What is use of likelihood ratio?
3. What distribution does likelihood ratio follows?
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Views: 6992
Gopal Malakar

This video demonstrates how to interpret the odds ratio (exponentiated beta) in a binary logistic regression using SPSS with one continuous predictor variable. Converting odds ratio to probability is reviewed. A binary logistic regression returns the probability of group membership when the outcome variable is dichotomous.

Views: 94154
Dr. Todd Grande

This video demonstrates how and when to interpret Pearson Chi-Square, Continuity Correction (Yates’ Correction), and Fisher’s Exact Test in SPSS. The chi-square test is used to test the independence of two or more nominal variables.

Views: 22265
Dr. Todd Grande

In this video, I go over likelihood ratios as a tool to decide the quality of a new diagnostic test.

Views: 774
Tara Bishop MD

PSPP is a open source alternative to IBM SPSS. PSPP is freely available from https://www.gnu.org/software/pspp/. It is similar to SPSS and has SPSS like GUI menus for statistical analysis. In this video cast it was explained as how to perform cross tabulation and interpret chi-square statistic together with likelihood ratio test through its p value.

Views: 343
Social Research Insights

Views: 657
ilangobi

After attending this presentation, attendees will better understand the principles of reporting DNA match results using a likelihood ratio (LR). By framing the apparently obscure notions of the LR in a more accessible literary setting, forensic practitioners can develop increased comfort with this important reporting and testifying skill.
The presentation will impact the forensic community by enabling practitioners to more comfortably use the LR in their DNA match reporting. Mastery of the LR principle is critical for reporting out the most informative results from complex DNA evidence. Society depends on this accurate LR information for apprehending and convicting criminals.
The principles of Bayesian inference (Bayes, 1763) were well known to the Victorians (Jevons, 1874). One master practitioner was detective Sherlock Holmes, who routinely employed a "balance of probabilities" to solve his fictional crimes (Doyle, 1890). Holmes deft use of the LR for weighing evidence (Good, 1950) regularly astounded his compatriots. His clarifying insights into applied inductive logic are particularly relevant to the modern reporting of DNA evidence.
Chapter IV of the "Hound of the Baskervilles" (Doyle, 1902) finds Holmes and his companions breakfasting at a London hotel. They are pondering the origin of a cryptic letter that warns the new Baskerville lord to stay away from his ancestral home, lest he too share the fate of his prematurely deceased predecessor. Holmes examines the handwritten address and announces that the letter was written in a nearby hotel. "Guesswork!" scoffs a skeptic. "Rather," rejoins Holmes, "we balance probabilities." His ensuing explanation is a lucid gem of likelihood clarity.
Sherlock Holmes' same Bayesian logic underlies the scientific reporting of DNA evidence. The identification hypothesis asserts that a suspect contributed his DNA to some biological evidence. The alternative hypothesis avers that someone else was the contributor. The LR balances the probability of the evidence assuming the identification hypothesis, relative to the data probability under the alternative hypothesis. The resulting weight of evidence provides an objective numerical LR match score that focuses on the data, and factors away prior prejudices.
This talk presents the LR concept through the investigative eye of Sherlock Holmes. We will work through a literary case example, illustrating every step of the LR determination using words and pictures. These concepts will then be applied to the reporting of complex DNA evidence, such as DNA mixtures.
Forensic DNA is an information science, with the LR providing a unifying information metric for all interpretation methods. Every valid DNA match score is a LR. Our talk advances practitioner understanding of the LR concept, facilitating its comfortable presentation in courtroom testimony.
References
1. Bayes T. An essay towards solving a problem in the doctrine of chances. Phil Trans. 1763;53:370-418.
2. Doyle AC. The Sign of Four. London: Spencer Blacket, 1890.
3. Doyle AC. The Hound of the Baskervilles. London: George Newnes, Ltd, 1902.
4. Good IJ. Probability and the Weighing of Evidence. London: Griffin, 1950.
5. Jevons WS. The Principles of Science: A Treatise on Logic and Scientific Method. London: Macmillon & Co, 1874.
http://www.cybgen.com/information/presentations/2011/AAFS/Perlin_Sherlock_Holmes_and_the_DNA_likelihood_ratio/page.shtml

Views: 1293
TrueAllele

Odds Ratios and Log(Odds Ratios) are like R-Squared - they describe a relationship between two things. And just like R-Squared, you need to determine if this relationship is statistically significant. I go over all these details in this video so that you are ready for any odds ratio and log(odds ratio) situation that you might get yourself into!!!
This StatQuest builds on the concepts covered in...
Odds and Log(Odds): https://youtu.be/ARfXDSkQf1Y
Enrichment Analysis using Fisher's Exact Test: https://youtu.be/udyAvvaMjfM
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider a StatQuest t-shirt or sweatshirt...
https://teespring.com/stores/statquest
...or buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/

Views: 37226
StatQuest with Josh Starmer

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