The following pages link to Peter J. Diggle (Q589821):
Displaying 50 items.
- Point-source modelling using matched case-control data (Q4489923) (← links)
- A comparison between parametric and non-parametric approaches to the analysis of replicated spatial point patterns (Q4507942) (← links)
- Model-based Geostatistics for Global Public Health (Q4631630) (← links)
- Detecting Dependence Between Marks and Locations of Marked Point Processes (Q4665832) (← links)
- (Q4730640) (← links)
- Some Distance-Based Tests of Independence for Sparsely-Sampled Multivariate Spatial Point Patterns (Q4741574) (← links)
- (Q4792001) (← links)
- (Q4792070) (← links)
- A Non‐Gaussian Spatial Process Model for Opacity of Flocculated Paper (Q4828204) (← links)
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters (Q4842861) (← links)
- Nonparametric Comparison of Cumulative Periodograms (Q4843965) (← links)
- Informative Drop-Out in Longitudinal Data Analysis (Q4844054) (← links)
- On Parameter Estimation for Pairwise Interaction Point Processes (Q4850141) (← links)
- RATES OF CONVERGENCE IN SEMI‐PARAMETRIC MODELLING OF LONGITUDINAL DATA (Q4851448) (← links)
- Estimation of Spatial Variation in Risk Using Matched Case‐control Data (Q5121919) (← links)
- A geostatistical framework for combining spatially referenced disease prevalence data from multiple diagnostics (Q5128785) (← links)
- (Q5185878) (← links)
- (Q5186563) (← links)
- INLA or MCMC? A tutorial and comparative evaluation for spatial prediction in log-Gaussian Cox processes (Q5219491) (← links)
- Estimating Individual-Level Risk in Spatial Epidemiology Using Spatially Aggregated Information on the Population at Risk (Q5255682) (← links)
- (Q5308603) (← links)
- (Q5310517) (← links)
- Joint Modelling of Repeated Measurements and Time-to-Event Outcomes: Flexible Model Specification and Exact Likelihood Inference (Q5379902) (← links)
- Spatio-temporal point processes, partial likelihood, foot and mouth disease (Q5424982) (← links)
- Spatio-temporal point processes, partial likelihood, foot and mouth disease (Q5442634) (← links)
- On the Operational Characteristics of the Benjamini and Hochberg False Discovery Rate Procedure (Q5443066) (← links)
- Strain-typing Transmissible Spongiform Encephalopathies Using Replicated Spatial Data (Q5445925) (← links)
- Case Studies in Spatial Point Process Modeling (Q5445927) (← links)
- Second‐Order Analysis of Inhomogeneous Spatial Point Processes Using Case–Control Data (Q5459605) (← links)
- A model‐based approach to quality control of paper production (Q5467254) (← links)
- (Q5690462) (← links)
- Exploratory analysis of longitudinal trials with staggered intervention times (Q5694089) (← links)
- Joint modelling of longitudinal measurements and event time data (Q5701100) (← links)
- Identification and efficacy of longitudinal markers for survival (Q5701126) (← links)
- Investigation of spatial clustering from individually matched case-control studies (Q5701259) (← links)
- Corrigendum: Spatiotemporal Prediction for Log-Gaussian Cox Processes (Q5743166) (← links)
- Nonparametric Estimation of Spatial Segregation in a Multivariate Point Process: Bovine Tuberculosis in Cornwall, UK (Q5757784) (← links)
- John Ashworth Nelder; Julian Besag (Q5894198) (← links)
- Spatial and spatio-temporal log-Gaussian Cox processes: extending the geostatistical paradigm (Q5965041) (← links)
- Geostatistical analysis of binomial data: generalised linear or transformed Gaussian modelling? (Q6069065) (← links)
- Conditional intensity: A powerful tool for modelling and analysing point process data (Q6075101) (← links)
- Geostatistical Methods for Disease Mapping and Visualisation Using Data from Spatio‐temporally Referenced Prevalence Surveys (Q6086602) (← links)
- Second-order analysis of inhomogeneous spatio-temporal point process data (Q6573688) (← links)
- Inhibitory geostatistical designs for spatial prediction taking account of uncertain covariance structure (Q6625829) (← links)
- Bivariate geostatistical modelling of the relationship between prevalence and intensity of infection (Q6625994) (← links)
- Dynamic predictive probabilities to monitor rapid cystic fibrosis disease progression (Q6627491) (← links)
- A spatially discrete approximation to log-Gaussian Cox processes for modelling aggregated disease count data (Q6628748) (← links)
- Linear mixed effects models for non-Gaussian continuous repeated measurement data (Q6642225) (← links)
- Towards realtime spatiotemporal prediction of district level meningitis incidence in sub-Saharan Africa (Q6651793) (← links)
- Combining data from multiple spatially referenced prevalence surveys using generalized linear geostatistical models (Q6656241) (← links)
