David A. Stephens

David A. Stephens

McGill University

H-index: 40

North America-Canada

About David A. Stephens

David A. Stephens, With an exceptional h-index of 40 and a recent h-index of 26 (since 2020), a distinguished researcher at McGill University, specializes in the field of Statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

The survival function NPMLE for combined right-censored and length-biased right-censored failure time data: properties and applications

Computational Considerations for the Linear Model of Coregionalization

Survival modelling for data from combined cohorts: opening the door to meta survival analyses and survival analysis using electronic health records

Semiparametric Bayesian inference for optimal dynamic treatment regimes via dynamic marginal structural models

A Bayesian Non-Stationary Heteroskedastic Time Series Model for Multivariate Critical Care Data

Accelerating Generalized Random Forests with Fixed-Point Trees

Bayesian clustering for continuous‐time hidden Markov models

Bayesian inference for optimal dynamic treatment regimes in practice

David A. Stephens Information

University

Position

Professor Department of Mathematics and Statistics

Citations(all)

7510

Citations(since 2020)

2614

Cited By

6008

hIndex(all)

40

hIndex(since 2020)

26

i10Index(all)

94

i10Index(since 2020)

67

Email

University Profile Page

Google Scholar

David A. Stephens Skills & Research Interests

Statistics

Top articles of David A. Stephens

Title

Journal

Author(s)

Publication Date

The survival function NPMLE for combined right-censored and length-biased right-censored failure time data: properties and applications

The International Journal of Biostatistics

James H McVittie

David B Wolfson

David A Stephens

2024/4/10

Computational Considerations for the Linear Model of Coregionalization

arXiv preprint arXiv:2402.08877

Renaud Alie

David A Stephens

Alexandra M Schmidt

2024/2/14

Survival modelling for data from combined cohorts: opening the door to meta survival analyses and survival analysis using electronic health records

International Statistical Review

James H McVittie

Ana F Best

David B Wolfson

David A Stephens

Julian Wolfson

...

2023/4

Semiparametric Bayesian inference for optimal dynamic treatment regimes via dynamic marginal structural models

Biostatistics

Daniel Rodriguez Duque

David A Stephens

Erica EM Moodie

Marina B Klein

2023/7/1

A Bayesian Non-Stationary Heteroskedastic Time Series Model for Multivariate Critical Care Data

arXiv preprint arXiv:2303.08735

Zayd Omar

David A Stephens

Alexandra M Schmidt

David L Buckeridge

2023/3/15

Accelerating Generalized Random Forests with Fixed-Point Trees

arXiv preprint arXiv:2306.11908

David Fleischer

David A Stephens

Archer Yang

2023/6/20

Bayesian clustering for continuous‐time hidden Markov models

Canadian Journal of Statistics

Yu Luo

David A Stephens

David L Buckeridge

2023/3

Bayesian inference for optimal dynamic treatment regimes in practice

The International Journal of Biostatistics

Daniel Rodriguez Duque

Erica EM Moodie

David A Stephens

2023/5/17

A time‐dependent Poisson‐Gamma model for recruitment forecasting in multicenter studies

Statistics in Medicine

Armando Turchetta

Nicolas Savy

David A Stephens

Erica EM Moodie

Marina B Klein

2023/10/15

Causal Inference Under Mis-Specification: Adjustment Based on the Propensity Score (with Discussion)

Bayesian Analysis

David A Stephens

Widemberg S Nobre

EEM Moodie

Alexandra M Schmidt

2023

A note on the partial likelihood estimator of the proportional hazards model for combined incident and prevalent cohort data

Metrika

James H McVittie

David B Wolfson

David A Stephens

2023/5

Bayesian sample size calculations for comparing two strategies in SMART studies

Biometrics

Armando Turchetta

Erica EM Moodie

David A Stephens

Sylvie D Lambert

2023/9

The role of exchangeability in causal inference

Statistical Science

Olli Saarela

David A Stephens

Erica EM Moodie

2023

The impact of directly observed therapy on the efficacy of Tuberculosis treatment: a Bayesian multilevel approach

Journal of the Royal Statistical Society, Series C (Applied Statistics)

Widemberg S Nobre

Alexandra M Schmidt

Erica EM Moodie

David A Stephens

2023/4/25

The evolution of SARS-CoV-2 seroprevalence in Canada: a time-series study, 2020–2023

CMAJ

Tanya J Murphy

Hanna Swail

Jaspreet Jain

Maureen Anderson

Philip Awadalla

...

2023/8/14

Stochastic Reweighted Gradient Descent

Ayoub El Hanchi

David Stephens

Chris Maddison

2022

A Bayesian approach to modeling multivariate multilevel insurance claims in the presence of unsettled claims

Bayesian Analysis

Marie-Pier Côté

Christian Genest

David A Stephens

2022/3

Targeting functional parameters with semiparametric Bayesian inference

arXiv preprint arXiv:2204.09862

Vivian Y Meng

David A Stephens

2022/4/21

The International Journal of Biostatistics

International Journal of Biostatistics

Vittorio Addona

Juli Atherton

David B Wolfson

2012

Adaptive treatment strategies for chronic conditions: shared-parameter G-estimation with an application to rheumatoid arthritis

Biostatistics

Shouao Wang

Erica Em Moodie

David A Stephens

Jagtar S Nijjar

2022/4/1

See List of Professors in David A. Stephens University(McGill University)

Co-Authors

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