'Count data' presentation slideshows

Tag-based expression/function analysis

Tag-based expression/function analysis. Data files at webpage (link at todays date), and also: http://people.binf.ku.dk/albin/teaching/htbinf/tag_analysis/. Where are we now? R to do statistics Genome browsers and galaxy to visualize genes and genomics data

770 views • 65 slides

Analysis of Overdispersed Data in SAS

Analysis of Overdispersed Data in SAS. Jessica Harwood, M.S. Statistician, Center for Community Health JHarwood@mednet.ucla.edu. Outline - Overdispersion. Definition, background, and causes of overdispersion Consequences of ignoring overdispersion

1.11k views • 61 slides

Threshold Liability Models (Ordinal Data Analysis)

601 views • 42 slides

Limited Dependent Variables

Limited Dependent Variables. Ciaran S. Phibbs May 30, 2012. Limited Dependent Variables. 0-1, small number of options, small counts, etc. The dependent variable is not continuous, or even close to continuous. Outline. Binary Choice Multinomial Choice Counts

937 views • 41 slides

ENCODING NON LINEAR MIXED EFFECTS MODEL

ENCODING NON LINEAR MIXED EFFECTS MODEL. M arc Lavielle INRIA Saclay. EBI, June 20th, 2011. Population approach & mixed effects model. Some examples of PK/PD data. Daily seizure counts (epilepsy). Viral load CD4 count.

376 views • 24 slides

New Guidelines for Data Result Suppression of Small Cell Numbers in IBIS-Query Output

New Guidelines for Data Result Suppression of Small Cell Numbers in IBIS-Query Output. Public Health Informatics Brown Bag July 22, 2009 Kathryn Marti, Director Office of Public Health Assessment. Outline. Introduction Background Work Group Important Concepts Methodology The Guidelines

335 views • 24 slides

Differential expression analysis for sequence count data

Differential expression analysis for sequence count data. Wolfgang Huber Simon Anders. Context. Research group on statistical methods for genome biology Joint appointment between EMBL HD and EBI non-coding RNA, pervasive transcription genetics of complex traits

619 views • 23 slides

Discrete Probability Distributions

661 views • 20 slides

Count Data Models

Count Data Models. * run poisson regression; poisson drvisits age65 age70 age75 age80 chronic excel good fair female black hispanic hs_drop hs_grad mcaid incomel ; * run neg binomial regression; nbreg drvisits age65 age70 age75 age80 chronic excel good fair female

302 views • 18 slides

ETISplus Road Data Workshop TRANS-TOOLS : Road data gaps

325 views • 18 slides

Community Ecology BDC331

280 views • 18 slides

Lecture 10

Lecture 10. Marginal Poisson Regression Model and GEE. Examples of count data Number of panic attacks occurring during 6-month intervals after receiving treatment Number of infant deaths per month before and after introduction of a prenatal care program

369 views • 16 slides

Lecture 10

Lecture 10. Marginal Poisson Regression Model and GEE. Examples of count data Number of panic attacks occurring during 6-month intervals after receiving treatment Number of infant deaths per month before and after introduction of a prenatal care program

349 views • 16 slides

Section 6.2

223 views • 16 slides

Tim Hope and Paul Norris SCCJR (CJ-QUEST) University of Edinburgh December 2008

Something Fishy? Uncovering heterogeneity in the distribution of crime victimisation in general populations. Tim Hope and Paul Norris SCCJR (CJ-QUEST) University of Edinburgh December 2008. The Distribution of Property Crime in the BCS. Understanding and Modelling the Distribution of Crime.

231 views • 15 slides

Lecture 16

Lecture 16. MCMC for Poisson response models. Lecture Contents. Multilevel Poisson Model MCMC Algorithms for Poisson Models MLwiN for Poisson models WinBUGS for Poisson models Comparisons. Multilevel Poisson model.

514 views • 14 slides

Setting the neighborhood on fire

251 views • 13 slides

Count Data

Count Data. Harry R. Erwin, PhD School of Computing and Technology University of Sunderland. Resources. Crawley, MJ (2005) Statistics: An Introduction Using R. Wiley. Freund, RJ, and WJ Wilson (1998) Regression Analysis, Academic Press.

203 views • 10 slides

CHAPTER 12

CHAPTER 12. MODELING COUNT DATA: THE POISSON AND NEGATIVE BINOMIAL REGRESSION MODELS. COUNT DATA. In many a phenomena the regressand is of the count type , such as: The number of patents received by a firm in a year The number of visits to a dentist in a year

312 views • 8 slides

Conclusions

96 views • 1 slides