Jochen Einbeck

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Professor in Statistics

University of Durham

United Kingdom

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Jochen Einbeck is a Professor in Statistics at Durham University, UK. His research focuses on statistical methodologies and their applications in mental health, educational interventions, and multivariate data analysis. Recent publications include studies on managing sensory experiences in mental health contexts, as well as innovative models for clustered and correlated data.

Recent Grants

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Managing Unusual Sensory Experiences (MUSE): A feasibility trial of a targeted, psychoeducation toolkit for distressing hallucinations for people with an At Risk Mental State (ARMS) for psychosis.

Open Date: 2023-01-01

Close Date: 2024-09-30

Grant: Close

The differential impact of Covid-19 lockdown on pupils’ writing skills

Open Date: 2022-02-01

Close Date: 2023-09-01

Grant: Close

Methodological Research to Support Evaluation, Synthesis, and Translation of Evidence to Improve the Educational Attainments of Disadvantaged Children in England

Open Date: 2021-06-01

Close Date: 2024-02-01

Grant: Close

Understanding the impact of EEF funded trials on attainment gaps between educational disadvantaged pupils and their peers

Open Date: 2019-09-01

Close Date: 2021-05-01

Jochen Einbeck

Research Interests

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Contact this professor

About

Recent Grants

Articles (21)

Educational platform trials simulator (EPTS): Software for planning and simulating cluster-randomised, multisite and simple randomised platform trials

Managing unusual sensory experiences in at-risk mental state for psychosis in England: A parallel group, single-blind, randomised controlled feasibility trial

A two-level multivariate response model for data with latent structures

A Procedure to Estimate Dose and Time of Exposure to Ionizing Radiation from the γ-H2AX Assay

A two-level multivariate response model for data with latent structures

Preferences for Psychological Therapy or Support Within an ARMS Psychological Therapies Trial: The Importance of Targeted Intervention for Unusual Sensory Experiences

Directed Clustering of Multivariate Data Based on Linear or Quadratic Latent Variable Models

The effects of lockdown during the COVID-19 pandemic on fetal movement profiles

Lack of effect of a parent‐delivered early language intervention: Evidence from a randomised controlled trial completed during COVID‐19

A Comparison of Threshold-Free Measures for Assessing the Effectiveness of Educational Interventions

A Versatile Model for Clustered and Highly Correlated Multivariate Data

Biodose Tools: an R shiny application for biological dosimetry

A Sequential Cross-Sectional Analysis Producing Robust Weekly COVID-19 Rates for South East Asian Countries

Association between Hyperemesis Gravidarum in pregnancy on postnatal ability of infants to attend to a play task with their mother

Cumulant-Based Goodness-of-Fit Tests for the Tweedie, Bar-Lev and Enis Class of Distributions

A Robust Bayesian Analysis of Variable Selection under Prior Ignorance

The impact of a novel medication scanner on administration errors in the hospital setting: a before and after feasibility study

Using Random Effect Models to Produce Robust Estimates of Death Rates in COVID-19 Data

Response transformations for random effect and variance component models

The effect of data aggregation on dispersion estimates in count data models

Multisite educational trials: estimating the effect size and its confidence intervals

Collaborators (15)

Apostolos Batsidis

Pedro Puig

Kelly Burgoyne

Robert Dudley

Beyza Ustun Elayan

Manuel Higueras

Joan Francesc Barquinero

Mohammad Sayari

Clare Tolley

AKANSHA SINGH

Reza Drikvandi

Nasima Akhter

Tathagata Basu

Leonardo Barrios

Nadja Reissland

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