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Demonstrating that an HIV Vaccine Lowers the Risk and/or Severity of HIV infection

Demonstrating that an HIV Vaccine Lowers the Risk and/or Severity of HIV infection

Demonstrating that an HIV Vaccine Lowers the Risk and/or Severity of HIV infection D.Mehrotra 1* , X.Li 1 , P.Gilbert 2 1 Merck Research Laboratories, Blue Bell, PA 2 Fred Hutchinson Cancer Research Center & Univ. of Washington, Seattle, WA Adapted from Mehrotra’s talk at ENAR, Austin, TX

By Albert_Lan
(351 views)

Resources for Teaching Statistics mathstore.gla.ac.uk/csstat

Resources for Teaching Statistics mathstore.gla.ac.uk/csstat

Resources for Teaching Statistics http://mathstore.gla.ac.uk/csstat. Ewan Crawford ewan@stats.gla.ac.uk LTSN Maths, Stats & OR Network University of Glasgow. Spiders & Peer review. Google Web-crawled Google Directory Editors LTSN Peer reviewed, for L&T RDN UK Academic Google. Categories.

By erika
(308 views)

Florence Nightingale

Florence Nightingale

Florence Nightingale. Nurse or mathematician?. Florence Nightingale. Life History. a) Born on May 12, 1820, Florence, Italy b) Raised in Derbyshire, England c) Felt called by God to serve Him on February 7, 1837

By daniel_millan
(430 views)

Where is the Full Fat Fear of Crime: Has 25 Years of Homogenised Data Misled Criminologists and Policy Makers? Is it ti

Where is the Full Fat Fear of Crime: Has 25 Years of Homogenised Data Misled Criminologists and Policy Makers? Is it ti

Where is the Full Fat Fear of Crime: Has 25 Years of Homogenised Data Misled Criminologists and Policy Makers? Is it time to “Get Real?”. Mike Sutton and Andromachi Tseloni Nottingham Trent University. Pseudo Neighbourhoods (Hope 2007)

By cree
(83 views)

Delivering Value to our Customers

Delivering Value to our Customers

Delivering Value to our Customers. Overview. Depth and Breadth Across all subject areas Serving multiple audiences Quality and Value Impact Factors Society partnerships Nobel Laureate Authors Technological Excellence Wiley Online Library. Breadth and Depth.

By michi
(93 views)

ASYMPTOTIC PROPERTIES OF LASSO-TYPE ESTIMATORS

ASYMPTOTIC PROPERTIES OF LASSO-TYPE ESTIMATORS

ASYMPTOTIC PROPERTIES OF LASSO-TYPE ESTIMATORS. MeRVE YASEMIN TEKBUDAK April 24 th , 2014. What is the LASSO ?.

By haley
(238 views)

Anomaly Detection in Problematic GPS Time Series Data and Modeling Dafna Avraham, Yehuda Bock

Anomaly Detection in Problematic GPS Time Series Data and Modeling Dafna Avraham, Yehuda Bock

Anomaly Detection in Problematic GPS Time Series Data and Modeling Dafna Avraham, Yehuda Bock Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA. Outlier Detection Algorithm.

By natala
(178 views)

Anomaly Detection in Problematic GPS Time Series Data and Modeling Dafna Avraham, Yehuda Bock

Anomaly Detection in Problematic GPS Time Series Data and Modeling Dafna Avraham, Yehuda Bock

Anomaly Detection in Problematic GPS Time Series Data and Modeling Dafna Avraham, Yehuda Bock Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA. Outlier Detection Algorithm.

By ryann
(162 views)

Sally Clark

Sally Clark

Sally Clark. Sally Clark (August 1964 – 15 March 2007) was a British lawyer who became the victim of a miscarriage of justice when she was wrongly convicted of the murder of two of her sons in 1999.

By december
(342 views)

Brownian Bridge and nonparametric rank tests

Brownian Bridge and nonparametric rank tests

Brownian Bridge and nonparametric rank tests. Olena Kravchuk School of Physical Sciences Department of Mathematics UQ. Lecture outline. Definition and important characteristics of the Brownian bridge (BB) Interesting measurable events on the BB Asymptotic behaviour of rank statistics

By may
(188 views)

Unsupervised Learning

Unsupervised Learning

Unsupervised Learning. Gaussian Mixture Models Expectation-Maximization (EM). Gaussian Mixture Models. Like K-Means, GMM clusters have centers. In addition, they have probability distributions that indicate the probability that a point belongs to the cluster.

By salaam
(147 views)

Nonlinear Regression Functions (SW Chapter 8)

Nonlinear Regression Functions (SW Chapter 8)

Nonlinear Regression Functions (SW Chapter 8). The TestScore – STR relation looks linear (maybe)…. But the TestScore – Income relation looks nonlinear... . The general nonlinear population regression function. Nonlinear Functions of a Single Independent Variable (SW Section 8.2).

By adin
(307 views)

Critically assessing and analysing simulation results

Critically assessing and analysing simulation results

Critically assessing and analysing simulation results. Bruce Edmonds Centre for Policy Modelling Manchester Metropolitan University. Back to the simulation goal… . How you assess the results of a simulation depends on its goal, for example: Predict in new circumstances

By ata
(145 views)

Household surveys in development research: methodological reflections from sub-Saharan Africa

Household surveys in development research: methodological reflections from sub-Saharan Africa

Household surveys in development research: methodological reflections from sub-Saharan Africa. Dr Ernestina Coast (LSE) Prof . Sara Randall (UCL ) Presented at LIDC/LCIRAH 24 th May 2012 http ://www.householdsurvey.info/. Have you ever…. Have you ever….

By ervin
(85 views)

Econometrics with Observational Data

Econometrics with Observational Data

Econometrics with Observational Data. Introduction and Identification Todd Wagner. Goals for Course. To enable researchers to conduct careful analyses with existing VA (and non-VA) datasets. We will Describe econometric tools and their strengths and limitations

By abby
(147 views)

For more information visit: reading.ac.uk/RSSlocal or contact: Fazil Baksh

For more information visit: reading.ac.uk/RSSlocal or contact: Fazil Baksh

Evaluating the accuracy of diagnostic systems by means of meta-analysis Prof Dankmar Böhning Applied Statistics, University of Reading, UK. A meeting of the Reading Local Group of the Royal Statistical Society. Meta-Analysis in Diagnostic Testing.

By benny
(118 views)

Assessing the accuracy of different models for combining aggregate level administrative data

Assessing the accuracy of different models for combining aggregate level administrative data

Assessing the accuracy of different models for combining aggregate level administrative data. Dilek Yildiz. 1. Supervisors: Peter W. F. Smith, Peter G.M. van der Heijden. 1. 1,2. 1 Southampton Statistical Sciences Research Institute, University of Southampton , United Kingdom

By lenore
(70 views)

Bayesian Hypothesis Testing and Bayes Factors

Bayesian Hypothesis Testing and Bayes Factors

Bayesian Hypothesis Testing and Bayes Factors. Bayesian p-values Bayes Factors for model comparison Easy to implement alternatives for model comparison. Bayesian Hypothesis Testing. Bayesian hypothesis testing is less formal than non-Bayesian varieties.

By jamil
(228 views)

CAMDA: Cancer data integration challenge

CAMDA: Cancer data integration challenge

An exploratory approach for identifying novel biomarkers in subgroups of cancer patients from RNA- seq data. CAMDA: Cancer data integration challenge. Tyler Grimes and Somnath Datta Department of Biostatistics, University of Florida. Contents. Datasets Reactome Pathways

By keesler
(1 views)


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