Nuala A Sheehan
Nuala A Sheehan
Professor of Statistical Genetics, University of Leicester
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Cited by
Cited by
Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure
MD Tobin, NA Sheehan, KJ Scurrah, PR Burton
Statistics in medicine 24 (19), 2911-2935, 2005
Mendelian randomization as an instrumental variable approach to causal inference
V Didelez, N Sheehan
Statistical methods in medical research 16 (4), 309-330, 2007
Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the statistic
J Bowden, F Del Greco M, C Minelli, G Davey Smith, NA Sheehan, ...
International journal of epidemiology 45 (6), 1961-1974, 2016
Using multiple genetic variants as instrumental variables for modifiable risk factors
TM Palmer, DA Lawlor, RM Harbord, NA Sheehan, JH Tobias, ...
Statistical methods in medical research 21 (3), 223-242, 2012
Mendelian randomisation and causal inference in observational epidemiology
NA Sheehan, V Didelez, PR Burton, MD Tobin
PLoS Med 5 (8), e177, 2008
A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
J Bowden, F Del Greco M, C Minelli, G Davey Smith, N Sheehan, ...
Statistics in medicine 36 (11), 1783-1802, 2017
Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses
TM Palmer, JAC Sterne, RM Harbord, DA Lawlor, NA Sheehan, S Meng, ...
American journal of epidemiology 173 (12), 1392-1403, 2011
Assumptions of IV methods for observational epidemiology
V Didelez, S Meng, NA Sheehan
Statistical Science 25 (1), 22-40, 2010
Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome
FD Greco M, C Minelli, NA Sheehan, JR Thompson
Statistics in medicine 34 (21), 2926-2940, 2015
Graphical models for genetic analyses
SL Lauritzen, NA Sheehan
Statistical Science, 489-514, 2003
Association of WNK1 Gene Polymorphisms and Haplotypes With Ambulatory Blood Pressure in the General Population
MD Tobin, SM Raleigh, S Newhouse, P Braund, C Bodycote, J Ogleby, ...
Circulation 112 (22), 3423-3429, 2005
DataSHIELD: taking the analysis to the data, not the data to the analysis
A Gaye, Y Marcon, J Isaeva, P LaFlamme, A Turner, EM Jones, J Minion, ...
International journal of epidemiology 43 (6), 1929-1944, 2014
DataSHIELD: resolving a conflict in contemporary bioscience—performing a pooled analysis of individual-level data without sharing the data
M Wolfson, SE Wallace, N Masca, G Rowe, NA Sheehan, V Ferretti, ...
International journal of epidemiology 39 (5), 1372-1382, 2010
On the irreducibility of a Markov chain defined on a space of genotype configurations by a sampling scheme
N Sheehan, A Thomas
Biometrics, 163-175, 1993
Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression
J Bowden, W Spiller, F Del Greco M, N Sheehan, J Thompson, C Minelli, ...
International journal of epidemiology 47 (4), 1264-1278, 2018
Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
J Bowden, F Del Greco M, C Minelli, Q Zhao, DA Lawlor, NA Sheehan, ...
International journal of epidemiology 48 (3), 728-742, 2019
Inferences from genomic models in stratified populations
L Janss, G de Los Campos, N Sheehan, D Sorensen
Genetics 192 (2), 693-704, 2012
Adjusting for bias and unmeasured confounding in Mendelian randomization studies with binary responses
TM Palmer, JR Thompson, MD Tobin, NA Sheehan, PR Burton
International journal of epidemiology 37 (5), 1161-1168, 2008
Detecting pleiotropy in Mendelian randomisation studies with summary data and a continuous outcome.
F Del Greco, C Minelli, NA Sheehan, JR Thompson
University of Leicester, 2015
Identification of distant family relationships
Skare, N Sheehan, T Egeland
Bioinformatics 25 (18), 2376-2382, 2009
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