Michael G. Kenward

31.0k total citations · 5 hit papers
167 papers, 21.6k citations indexed

About

Michael G. Kenward is a scholar working on Statistics and Probability, Genetics and Artificial Intelligence. According to data from OpenAlex, Michael G. Kenward has authored 167 papers receiving a total of 21.6k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Statistics and Probability, 21 papers in Genetics and 19 papers in Artificial Intelligence. Recurrent topics in Michael G. Kenward's work include Statistical Methods and Bayesian Inference (78 papers), Statistical Methods and Inference (41 papers) and Statistical Methods in Clinical Trials (38 papers). Michael G. Kenward is often cited by papers focused on Statistical Methods and Bayesian Inference (78 papers), Statistical Methods and Inference (41 papers) and Statistical Methods in Clinical Trials (38 papers). Michael G. Kenward collaborates with scholars based in United Kingdom, Belgium and Finland. Michael G. Kenward's co-authors include James Roger, James R. Carpenter, Antonio Gasparrini, Ben Armstrong, Ian R. White, Jonathan A C Sterne, Angela Wood, Patrick Royston, John B. Carlin and Michael Spratt and has published in prestigious journals such as Nature, The Lancet and Journal of the American Statistical Association.

In The Last Decade

Michael G. Kenward

164 papers receiving 20.9k citations

Hit Papers

Multiple imputation for missing data in epidemiolo... 1997 2026 2006 2016 2009 1997 2010 2011 2012 1000 2.0k 3.0k 4.0k 5.0k

Peers

Michael G. Kenward
Sander Greenland United States
Stef van Buuren Netherlands
Kenneth J. Rothman United States
Stephen R. Cole United States
Kung‐Yee Liang United States
Lawrence L. Kupper United States
Thomas A. Louis United States
James R. Carpenter United Kingdom
James H. Ware United States
Sander Greenland United States
Michael G. Kenward
Citations per year, relative to Michael G. Kenward Michael G. Kenward (= 1×) peers Sander Greenland

Countries citing papers authored by Michael G. Kenward

Since Specialization
Citations

This map shows the geographic impact of Michael G. Kenward's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael G. Kenward with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Kenward more than expected).

Fields of papers citing papers by Michael G. Kenward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Kenward. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael G. Kenward. The network helps show where Michael G. Kenward may publish in the future.

Co-authorship network of co-authors of Michael G. Kenward

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Kenward. A scholar is included among the top collaborators of Michael G. Kenward based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael G. Kenward. Michael G. Kenward is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Molenberghs, Geert, et al.. (2019). Fast two-stage estimator for clustered count data with overdispersion. Journal of Statistical Computation and Simulation. 89(14). 2678–2693. 1 indexed citations
2.
Judah, Gaby, Benjamin Gardner, Michael G. Kenward, Bianca DeStavola, & Robert Aunger. (2018). Exploratory study of the impact of perceived reward on habit formation. BMC Psychology. 6(1). 62–62. 39 indexed citations
3.
Xiao, Xiong, Qiaohong Liao, Michael G. Kenward, et al.. (2016). Comparisons between mild and severe cases of hand, foot and mouth disease in temporal trends: a comparative time series study from mainland China. BMC Public Health. 16(1). 1109–1109. 10 indexed citations
5.
Steinbach, Rebecca, John Green, Michael G. Kenward, & Phil Edwards. (2014). Is ethnic density associated with risk of child pedestrian injury? A comparison of inter-census changes in ethnic populations and injury rates. Ethnicity and Health. 21(1). 1–19. 21 indexed citations
6.
Nwaru, Bright I., Onni Niemelä, Minna Kaila, et al.. (2013). Introduction of complementary foods in infancy and atopic sensitization at the age of 5 years: timing and food diversity in a Finnish birth cohort. Allergy. 68(4). 507–516. 70 indexed citations
8.
Gasparrini, Antonio, Ben Armstrong, & Michael G. Kenward. (2012). Multivariate meta‐analysis for non‐linear and other multi‐parameter associations. Statistics in Medicine. 31(29). 3821–3839. 529 indexed citations breakdown →
9.
Bamia, Christina, Ian R. White, & Michael G. Kenward. (2012). Some consequences of assuming simple patterns for the treatment effect over time in a linear mixed model. Statistics in Medicine. 32(15). 2585–2594. 7 indexed citations
10.
Lumia, Mirka, Päivi Luukkainen, Heli Tapanainen, et al.. (2011). Dietary fatty acid composition during pregnancy and the risk of asthma in the offspring. Pediatric Allergy and Immunology. 22(8). 827–835. 62 indexed citations
11.
Molenberghs, Geert, et al.. (2011). PSEUDO-LIKELIHOOD ESTIMATION FOR INCOMPLETE DATA. Statistica Sinica. 21(1). 187–206. 17 indexed citations
12.
Hens, Niel, et al.. (2009). Shared-parameter models and missingness at random. Document Server@UHasselt (UHasselt). 2 indexed citations
13.
Molenberghs, Geert, Michael G. Kenward, Geert Verbeke, Caroline Beunckens, & Cristina Sotto. (2008). EVERY MISSING NOT AT RANDOM MODEL HAS GOT A MISSING AT RANDOM COUNTERPART WITH EQUAL FIT. 70. 371–388. 45 indexed citations
14.
Arkkola, Tuula, Ulla Uusitalo, Carina Kronberg‐Kippilä, et al.. (2007). Seven distinct dietary patterns identified among pregnant Finnish women – associations with nutrient intake and sociodemographic factors. Public Health Nutrition. 11(2). 176–182. 51 indexed citations
15.
Vansteelandt, Stijn, Els Goetghebeur, Michael G. Kenward, & Geert Molenberghs. (2006). Ignorance and uncertainty regions as inferential tools in a sensitivity analysis. Statistica Sinica. 16(3). 953–979. 94 indexed citations
16.
Welham, S. J., B. R. Cullis, Michael G. Kenward, & R. Thompson. (2005). The Analysis of Longitudinal Data Using Mixed Model L‐Splines. Biometrics. 62(2). 392–401. 19 indexed citations
17.
Goetghebeur, Els, Geert Molenberghs, & Michael G. Kenward. (2004). Sense and sensitivity when intended data are missing. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
18.
Smith, Dustin & Michael G. Kenward. (2000). Extensions of multiple linear regression. Communication in Statistics- Theory and Methods. 29(9-10). 2033–2053. 2 indexed citations
19.
Ferguson, A. W., et al.. (1995). Interactions between the cabbage seed weevil (Ceutorhynchus assimilis Payk.) and the brassica pod midge (Dasineura brassicae Winn.) infesting oilseed rape pods. Rothamsted Repository (Rothamsted Repository). 5 indexed citations
20.
Diggle, Peter J. & Michael G. Kenward. (1994). Informative dropout in longitudinal data analysis (with discussion). 43. 49–94. 272 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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