4th Channel Network Conference

Wednesday 3rd July 2013 to Friday 5th July 2013

This conference was hosted at the University of St Andrews from 3-5th July 2013.

We thank the following sponsors of this conference:

    

  

Talk slides are avaliable below for British and Irish Region Biometric Society members and for those you attended the conference.

Programme

 Document downloads for IBS members.
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Day 1 
09.00 - 12.00Preconference Workshops

Parameter Redundancy Diana Cole
Current Methods in mixed modelling Lea Fortunato

 
13.15 - 15.00Invited session I: Mixed modelling

Smoothing random effects and correlation Simon Wood
Spatial statistics and the real world - the old, the new and the challenging Janine Illian
Estimation in mixed models defined by stochastic differential equations Adeline Samso

 
15.30 - 17.10Parallel session I

Modelling genetic data
Parameter inference in a stochastic reaction network with transcriptional switches Kirsty Hey
Powerful testing via hierarchical linkage disequilibrium in haplotype association studies Brunilda Balliu
Biadditive models, alternative estimation procedures and better biplots Paul Eilers
Finite mixture model clustering of SNP data John Hinde
Identification of dog breed composition Orlando Doehring
Modelling, testing and multiplicity
Multiple testing method for the directed acyclic graph, using Shaffer combinations Rosa Meijer
On the moderated t-test and its moderated p-values Jelle Goeman
Drawing the line: changing the funnel plot for screening hospital performance Bart Van Rompaye
A semiparametric framework for rank tests Jan De Neve
The sinh-arcsinh distribution for binary dose-response data Byron Morgan
Statistical ecology I
Detecting parameter redundancy in ecological state-space models Diana Cole
Parameter redundancy: identifiability issues in occupancy models Ben Hubbard
Dealing with missing covariate data using multiple imputation - a mark-recapture-recovery study on Soay sheep Hannah Worthington
Species interactions as a multivariate feedback system Hideyasu Shimadzu
A continuous-time semi-Markov model for sperm whale behaviour, with and without acoustic disturbance Stacy DeRuiter

 
17.30 - 19.00Fisher Memorial Lecture

Putting life into numbers: the highs and lows of communicating statistics to the public David Spiegelhalter

 
19.00 - 21.00Poster Session

Modelling Survival following Bone Marrow Transplantation; using Longitudinal Immune Measurements at Arbitrary Time Points Markus Elze
Selecting the states that define Markov health economic models Christopher Jackson
Probabilistic model for predicting the pathogenicity of sequence variants Dace Ruklisa
New Analytical Methods for Estimating Key Ecological Parameters from Camera Trap Data Natoya Jourdain
Predicting methane emissions from cattle - where meta-analysis and random coefficient modelling meet Ian Nevison
Integrated Stopover Models - A Mark-recapture Study on Grey Seals on the Isle of May Hannah Worthington
The Effect of Animal Movement on Point Transect Estimates of Abundance Rocío Prieto González
Using Multiple Diagnostic Tests to Recover Incidence Trends Gustaf Rydevik
Modifications of the Dunnet Multiple Comparison Proceedure: Without Pre-Test, Included into Order-Rectricted Williams Test Ludwig Hothorn
Acquainting entry-level researchers in agricultural sciences with published statistics research Olena Kravchuk
Parameter Redundancy of Mixture Models in Capture Recapture Chen Yu
Joint spatio-temporal modeling of bovine TB infections in badgers and cattle Gabrielle Kelly
Modelling Prion Dynamics in budding yeast cells Vasileios Giagos
Factor Modelling of Multiple Time Series to Detect Temporal Variations in Common Dynamics Anne Lehébel
Analysis of Longitudinal Trials with Protocol Deviation: a Framework for Relevant, Accessible Assumptions, and Inference via Multiple Imputation James Carpenter
Outlier detection in Poisson regression models via overdispersion Freedom Gumedze
Prediction of SUcess of Insemination with Past Daily Milk Yeild with a Functional Generalized Linear Model Cécile Sauder
Car and P-Spline Models for Short-Term Cancer Mortality Count Predications Tomas Goicoa
Modelling a repeated ordered categorical response with penalised splines using MCEM Sue Welham
Constrained Ordination of Two Seasonal Time Series: a Simulation Study Marie-Anne Vibet
Combining expression and chromatin immunoprecipitation data to understand transcription factor behaviour Andy Lynch
Constrained Ordination Analysis in the Presense of Zero Inflation Yingjie Zhang
Quantifying Temporal Turnover in Biodiversity, and How it Varies Spatially Joyce Yuan
Predicitive Genomic Signature: Biomarker Discovery, and How it Varies Spatially Wiebke Weft
Statistical Challenges of High Dimensional Methylation Data Maral Saadati
Two-Part Regression Model to Correct for Measurement Error: a Simulation Study George Agogo
Keeping Weight on Track - a Neutral Model of Human Body Mass Regulation Graham Horgan
Sample Size Calculation for Treatment Effects in Two-Armed Randomized Trials with Fixed Cluster Sizes and Heterogenous Clustering Math Candel
Factor Modelling of Multiple Time Series to Detect Temporal Variations in Common Dynamics Anne Lehebel

 
Day 2 
09.00 - 10.40Parallel session II

Challenges in modelling of genomic datasets
Young Biometrician talk: Heritability analysis: beyond variance explained Doug Speed
A whole genome prediction type approach for the genome wide association analysis of multi-environment trial data Helena Oakey
Nonlinear monotone regression for high-dimensional data Kukatharmini Tharmaratnam
Analysis of cross-sectional time series gene expression data using parametric regression models Philip Law
Inferring causal relationships between associated phenotypes using both phenotypic and QTL information Huange Wang
Joint modelling
Joint modelling of longitudinal and time-to-event data with application to the prediction of prostate cancer recurrence Hélène Jacqmin-Gadda
Incorporating age- and sex-dependent reference ranges in joint longitudinal and timeto-event modelling for bone marrow transplantation Markus Elze
Estimating and comparing dynamic predictive accuracy of joint models for time-toevent and longitudinal data Paul Blanche
A Bayesian joint model for repeated events of different types and multiple biomarkers Z. Jammbe Musoro
Analysing anti-malarial trials: a multiple endpoint approach Alice Parry
Bayesian applications and classification
Building hierarchical models with an integrated likelihood for distance sampling data Cornelia Oedekoven
Bayesian network based diffusion analysis of starling data Glenna Nightingale
Visualization of classification decisions based on geometric predictors Stefan Boehringer
Using the Dirichlet process clustering model to assist the investigation of high order interactions between environmental/genetic covariates Michail Papathomas
The use of interactive Ebooks for teaching Bayesian statistical modelling using the STAT-JR package William Browne

 
11.15 - 13.00Invited session II: Statistical ecology

Discrete- and continuous-time models for line transect and capture-recapture surveys David Borchers
Integrated analysis of capture–recapture–resighting data and counts of unmarked birds at stop-over sites Eleni Matechou
Estimating species richness from quadrat sampling: a Bayesian approach Jérôme Dupuis

 
14.00 - 15.40Parallel session III

Recent advances in novel omics
Automatic phenotyping: estimating fruit numbers by clustering repeated, incomplete observations Chris Glasbey
Quantifying overall correlation in high-dimensional omics data Claus-Dieter Mayer
Comparing change-point location of independent profiles Alice Cleynen
Probabilistic model for predicting the pathogenicity of sequence variants Dace Ruklisa
Inclusion of segregation information in the genotyping of tetraploid species Gerrit Gort
Survival analysis
Estimating conditional survival after spinal cord injury: an approach to meta-analysis of observational studies Jane Hutton
Nonparametric estimation of the survival function in screening and surveillance corrected for misclassification Birgit Witte
The SIMEX method for correcting the bias in a survival cure model with mismeasured covariates Aurélie Bertrand
Models for clustered interval-censored outcome with a dependent terminal event: investigating the intra-couple correlation for dementia Virginie Rondeau
Objective Bayesian Survival Analysis Using Shape Mixtures of Log-Normal Distributions Catalina Vallejos
Missing data
Efficient estimation of the distribution of time to composite endpoint when some endpoints are only partially observed Rhian Daniel
Chain event graphs for informed variable construction in epidemiology Lorna Barclay
Competing risks regression with missing causes of death: assessing the sensitivity of inferences to missing data assumptions Margarita Moreno-Betancur
Covariance modelling in longitudinal data with informative observation Daniel Farewell
Estimating hidden population sizes using multi-list data in the presence of observed non-target individuals Ruth King

 
16.20 - 18.00Parallel session IV

Causal inference, epidemiology and pharmaceutical statistics
The stochastic system approach for causal modeling Daniel Commenges
Causal inference with pseudo-observations Erik van Zwet
Estimating misclassification rates of incident cases in general practitioner registration networks Hendriek Boshuizen
A comparison of statistical methods for benchmarking clinical centers in terms of quality of care Machteld Varewyck
A mixture model for the analysis of data derived from record linkage Michel Hof
Longitudinal data analysis
Markov-modulated nonhomogeneous Poisson processes for dealing with availability bias in surveys of marine mammal abundance Roland Langrock
Statistical methods for the analysis of Human Micro Biome data Jeanine Houwing-Duistermaat
Longitudinal analysis of self-reported hunger in appetite studies Olena Kravchuk
Modelling the relationship between cardiovascular events and variability/instability of blood pressures via double integrated semiparametric generalized linear model Chao Huang
Parameter estimation in differential equations with orthogonality conditions Nicolas Brunel
Statistical ecology II
Design and analysis of experiments testing for diversity in ecology Rosemary Bailey
Modelling historical weather effects on national bird index data David Elston
Predictive models for the spatial distribution of seabird foraging Adam Butler
Sparrowhawks and a decline in sparrows: is there a link? Ben Swallow
Modelling the spatial occurrence of UK butterflies from opportunistic presence-only atlas records Emily Dennis

 
Day 3 
09.00 - 10.00Plenary session

Mixed models: misconceptions, pitfalls, and many opportunities Geert Verbeke

 
10.30 - 12.15Invited session III: Advances in genomics

ShrinkBayes: Bayesian differential expression analysis of RNA sequencing data Mark van de Wiel
Challenge of analysing omics data Hae Won Uh
Microbiome, metagenomics and high-dimensional compositional data analysis Hongzhe Li

 

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