Robin Henderson

ORCID: 0000-0001-6245-6431
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About
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Research Areas
  • Statistical Methods and Inference
  • Statistical Methods and Bayesian Inference
  • Advanced Causal Inference Techniques
  • Statistical Methods in Clinical Trials
  • COVID-19 and Mental Health
  • Topological and Geometric Data Analysis
  • Optimal Experimental Design Methods
  • Renal Transplantation Outcomes and Treatments
  • Insurance, Mortality, Demography, Risk Management
  • Viral-associated cancers and disorders
  • Health Systems, Economic Evaluations, Quality of Life
  • Advanced Statistical Methods and Models
  • Brucella: diagnosis, epidemiology, treatment
  • Stochastic processes and statistical mechanics
  • Organ Donation and Transplantation
  • Organ Transplantation Techniques and Outcomes
  • Advanced Statistical Process Monitoring
  • Statistical Distribution Estimation and Applications
  • Polyomavirus and related diseases
  • Advanced Control Systems Optimization
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Digital Mental Health Interventions
  • COVID-19 Pandemic Impacts
  • Acute Ischemic Stroke Management
  • Economic and Environmental Valuation

University of Arkansas for Medical Sciences
2024

Institute on Aging
2024

Newcastle University
2013-2024

Henderson Community College
2015-2021

Maryland Department of Health
2020

Edinburgh Royal Infirmary
2015

Lancaster University
1996-2014

Newcastle College
2014

University of Newcastle Australia
2013

MRC Biostatistics Unit
2003

Summary Unexplained heterogeneity in univariate survival data and association multivariate can both be modelled by the inclusion of frailty effects. This paper investigates consequences ignoring analysis, fitting misspecified Cox proportional hazards models to marginal distributions. Regression coefficients are biased towards 0 an amount which depends magnitude on variability terms form distribution. The bias is reduced when censoring present. Fitted curves also differ substantially from...

10.1111/1467-9868.00182 article EN Journal of the Royal Statistical Society Series B (Statistical Methodology) 1999-07-01

A one-dimensional random walk is studied in which, at each stage, the probabilities of continuing same direction or changing are p and 1 – , respectively. Exact expressions derived for n -step transition probabilities, various limiting distributions investigated.

10.2307/3213286 article EN Journal of Applied Probability 1981-06-01

We consider optimal dynamic treatment regime determination in practice. Model building, checking, and comparison have had little or no attention so far this literature. Motivated by an application on dosage of anticoagulants, we propose a modeling estimation strategy that incorporates the regret functions Murphy (2003, Journal Royal Statistical Society, Series B 65, 331-366) into regression model for observed responses. Estimation is quick diagnostics are available, meaning variety candidate...

10.1111/j.1541-0420.2009.01368.x article EN Biometrics 2009-12-10

Doctors' survival predictions for terminally ill patients have been shown to be inaccurate and there has an argument less guesswork more use of carefully constructed statistical indices. As statisticians, the authors are confident in predictive value models indices individual times. This paper discusses illustrates a variety measures which can used summarise information available from model. The argue that useful at group or population level, but human is so uncertain even best analysis...

10.1136/jme.2005.012427 article EN Journal of Medical Ethics 2005-11-30

In this article we combine ideas from spatial statistics with lifetime data analysis techniques to investigate possible variation in survival of adult acute myeloid leukemia patients northwest England. Exploratory suggests both clinically and statistically significant rates across the region. A multivariate gamma frailty model incorporating dependence is proposed applied, results confirming hazard on location.

10.1198/016214502388618753 article EN Journal of the American Statistical Association 2002-12-01

Summary The problem of analysing longitudinal data that are complicated by possibly informative drop-out has received considerable attention in the statistical literature. Most researchers have concentrated on either methodology or application, but we begin this paper arguing more could be given to study objectives and relevant targets for inference. Next summarize a variety approaches been suggested dealing with drop-out. A long-standing concern subject area is all methods require...

10.1111/j.1467-9876.2007.00590.x article EN Journal of the Royal Statistical Society Series C (Applied Statistics) 2007-09-27

Summary Random effects or shared parameter models are commonly advocated for the analysis of combined repeated measurement and event history data, including dropout from longitudinal trials. Their use in practical applications has generally been limited by computational cost complexity, meaning that only simple special cases can be fitted using readily available software. We propose a new approach exploits recent distributional results extended skew normal family to allow exact likelihood...

10.1111/rssb.12060 article EN Journal of the Royal Statistical Society Series B (Statistical Methodology) 2014-04-08

Diabetic retinopathy is a complication of diabetes that produces changes in the blood vessel structure retina, which can cause severe vision problems and even blindness. In this paper, we demonstrate by identifying topological features very high resolution retinal images, construct classifier discriminates between healthy patients those with diabetic using summary statistics these features. Topological data analysis identifies as connected components holes images describes extent to they...

10.1371/journal.pone.0217413 article EN cc-by PLoS ONE 2019-05-24

Journal Article A serially correlated gamma frailty model for longitudinal count data Get access Robin Henderson, Henderson Search other works by this author on: Oxford Academic Google Scholar Silvia Shimakura Biometrika, Volume 90, Issue 2, June 2003, Pages 355–366, https://doi.org/10.1093/biomet/90.2.355 Published: 01 2003

10.1093/biomet/90.2.355 article EN Biometrika 2003-06-01

The goal of relative survival methodology is to compare the experience a cohort with that background population. Most often an additive excess hazard model employed, which assumes each person's sum 2 components—the population obtained from life tables and attributable specific condition. Usually covariate effects on are assumed have proportional hazards structure parametrically modelled baseline. In this paper, we introduce new fitting procedure using expectation–maximization algorithm,...

10.1093/biostatistics/kxn021 article EN Biostatistics 2008-05-23

Methods for the combined analysis of survival time and longitudinal biomarker data have been developed in recent years, with most emphasis on modelling estimation. This paper focuses use marker trajectories as individual-level surrogates survival. A score test association which requires only standard methods implementation is derived initial identification candidate biomarkers. assessing efficacy markers are discussed a measure contrasting conditional marginal distributions proposed. An...

10.1093/biostatistics/3.1.33 article EN Biostatistics 2002-03-01

Journal Article Morphology of the Structural Root System Sitka Spruce 1. Analysis and Quantitative Description Get access R. HENDERSON, HENDERSON +Department Statistics, University EdinburghMayfield Road, Edinburgh, EH9 3JZ° Present address: Department Newcastle-upon-TyneNewcastle-upon-Type, NE1 7RU Search for other works by this author on: Oxford Academic Google Scholar E. D. FORD, FORD *Institute Terrestrial EcologyBush Estate, Penicuik, Midlothian, EH26 0QB RENSHAW, RENSHAW 3JZ J. DEANS...

10.1093/forestry/56.2.121 article EN Forestry An International Journal of Forest Research 1983-01-01

SUMMARY 1. Foot-and-mouth disease broke out on three pig farms of the Spetchley area Worcestershire after virus had been carried to them in skimmed milk. 2. A study natural features and climatic conditions during outbreak show that wind could have from one or other these twenty-six others total thirty-two infected. 3. Bringing cattle fields keeping their sheds offered no protection. Nine farmers did so but only effect was onset infection delayed for a day so. 4. The direction which cow-sheds...

10.1017/s0022172400041383 article EN Journal of Hygiene 1969-03-01

Summary Relative survival techniques are used to compare experience in a study cohort with that expected if background population rates apply. The especially useful when cause-specific death information is not accurate or available as they provide measure of excess mortality group patients certain disease. Whereas these methods based on comparisons, we present here transformation approach which instead gives for each individual an outcome relative the appropriate population. new easily...

10.1111/j.1467-9876.2005.00473.x article EN Journal of the Royal Statistical Society Series C (Applied Statistics) 2004-10-22

Journal Article A problem with the likelihood ratio test for a change-point hazard rate model Get access ROBIN HENDERSON Department of Mathematics and Statistics, University Newcastle-upon-TyneNewcastle upon Tyne NE1 7RU, U.K. Search other works by this author on: Oxford Academic Google Scholar Biometrika, Volume 77, Issue 4, December 1990, Pages 835–843, https://doi.org/10.1093/biomet/77.4.835 Published: 01 1990 history Received: November 1989 Revision received: July

10.1093/biomet/77.4.835 article EN Biometrika 1990-01-01

Abstract A complication of long‐term anticoagulation is that the optimal dose level varies not only between patients but over time within patients, in response to short‐term changes lifestyle. Consequently, doseage needs be adaptive there are as yet no accepted decision rules. Since anticoagulant use increasing worldwide a need for more objective and routine procedures. In this paper, we describe an analysis observational longitudinal data, aimed at determining reactive dose‐changing...

10.1002/sim.2694 article EN Statistics in Medicine 2006-09-18

Additive regression models are preferred over multiplicative in the analysis of relative survival data. Such preferences mainly grounded practical experience with mostly cancer registries data, where basic assumption additivity hazards is more likely to be met. Also, interpretation coefficients meaningful additive than models. Nonetheless, question goodness fit assumed model must still addressed, and while there an abundance methods check models, respective arsenal for almost empty. We...

10.1002/sim.2414 article EN Statistics in Medicine 2005-11-30
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