| Methods for dealing with time-dependent confounding RM Daniel, SN Cousens, BL De Stavola, MG Kenward, JAC Sterne Statistics in Medicine, 2012 | 441 | 2012 |
| Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways S Burgess, RM Daniel, AS Butterworth, SG Thompson, ... International journal of epidemiology 44 (2), 484-495, 2015 | 349 | 2015 |
| Causal mediation analysis with multiple mediators RM Daniel, BL De Stavola, SN Cousens, S Vansteelandt Biometrics 71 (1), 1-14, 2015 | 337 | 2015 |
| Outcome modelling strategies in epidemiology: traditional methods and basic alternatives S Greenland, R Daniel, N Pearce International journal of epidemiology 45 (2), 565-575, 2016 | 270 | 2016 |
| Interventional effects for mediation analysis with multiple mediators S Vansteelandt, RM Daniel Epidemiology 28 (2), 258-265, 2017 | 248 | 2017 |
| Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables IR White, R Daniel, P Royston Computational statistics & data analysis 54 (10), 2267-2275, 2010 | 245 | 2010 |
| Incidence of community-acquired lower respiratory tract infections and pneumonia among older adults in the United Kingdom: a population-based study ERC Millett, JK Quint, L Smeeth, RM Daniel, SL Thomas PloS one 8 (9), e75131, 2013 | 229 | 2013 |
| gformula: Estimating causal effects in the presence of time-varying confounding or mediation using the g-computation formula RM Daniel, BL De Stavola, SN Cousens The Stata Journal 11 (4), 479-517, 2011 | 201 | 2011 |
| On regression adjustment for the propensity score S Vansteelandt, RM Daniel Statistics in medicine 33 (23), 4053-4072, 2014 | 196 | 2014 |
| Using causal diagrams to guide analysis in missing data problems RM Daniel, MG Kenward, SN Cousens, BL De Stavola Statistical methods in medical research 21 (3), 243-256, 2012 | 194 | 2012 |
| Mediation analysis with intermediate confounding: structural equation modeling viewed through the causal inference lens BL De Stavola, RM Daniel, GB Ploubidis, N Micali American journal of epidemiology 181 (1), 64-80, 2015 | 164 | 2015 |
| Making apples from oranges: comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets R Daniel, J Zhang, D Farewell Biometrical Journal 63 (3), 528-557, 2021 | 121 | 2021 |
| Commentary: The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented? RM Daniel, BL De Stavola, S Vansteelandt International journal of epidemiology 45 (6), 1817-1829, 2016 | 74 | 2016 |
| A comparison of methods to adjust for continuous covariates in the analysis of randomised trials BC Kahan, H Rushton, TP Morris, RM Daniel BMC medical research methodology 16, 1-10, 2016 | 70 | 2016 |
| Analysis of longitudinal studies with repeated outcome measures: adjusting for time-dependent confounding using conventional methods RH Keogh, RM Daniel, TJ VanderWeele, S Vansteelandt American journal of epidemiology 187 (5), 1085-1092, 2018 | 53 | 2018 |
| How much do tumor stage and treatment explain socioeconomic inequalities in breast cancer survival? Applying causal mediation analysis to population-based data R Li, R Daniel, B Rachet European journal of epidemiology 31, 603-611, 2016 | 51 | 2016 |
| Analysis of tuberculosis prevalence surveys: new guidance on best-practice methods S Floyd, C Sismanidis, N Yamada, R Daniel, J Lagahid, F Mecatti, ... Emerging themes in epidemiology 10, 1-13, 2013 | 49 | 2013 |
| The causal web of foetal alcohol spectrum disorders: a review and causal diagram C McQuire, R Daniel, L Hurt, A Kemp, S Paranjothy European child & adolescent psychiatry 29 (5), 575-594, 2020 | 48 | 2020 |
| Time‐dependent mediators in survival analysis: modeling direct and indirect effects with the additive hazards model OO Aalen, MJ Stensrud, V Didelez, R Daniel, K Røysland, S Strohmaier Biometrical Journal 62 (3), 532-549, 2020 | 46 | 2020 |
| The impact of a cash transfer programme on tuberculosis treatment success rate: a quasi-experimental study in Brazil DJ Carter, R Daniel, AW Torrens, MN Sanchez, ELN Maciel, ... BMJ global health 4 (1), e001029, 2019 | 38 | 2019 |
