Tanner, KT; (2021) Dynamic Prediction, Mediation and Communication for Survival Outcomes, with applications to Cystic Fibrosis. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04663978

J Carter, Daniel; Daniel, Rhian; Torrens, Ana W; N Sanchez, Mauro; Maciel, Ethel Leonor N; Bartholomay, Patricia; Barreira, Draurio C; Rasella, Davide; Barreto, Mauricio L; Rodrigues, Laura C; +1 more... Boccia, Delia; (2019) The impact of a cash transfer programme on tuberculosis treatment success rate: a quasi-experimental study in Brazil. BMJ Global Health, 4 (1). e001029-. ISSN 2059-7908 DOI: https://doi.org/10.1136/bmjgh-2018-001029

Newsome, S; (2019) Using registry data to estimate the effects of long-term treatment use in cystic fibrosis. PhD thesis, London School of Hygiene & Tropical Medicine. DOI: https://doi.org/10.17037/PUBS.04652092

Micali, Nadia; Daniel, Rhian M; Ploubidis, George B; De Stavola, Bianca L; (2018) Maternal Prepregnancy Weight Status and Adolescent Eating Disorder Behaviors: A Longitudinal Study of Risk Pathways. Epidemiology (Cambridge, Mass), 29 (4). pp. 579-589. ISSN 1044-3983 DOI: https://doi.org/10.1097/EDE.0000000000000850 Full text not available from this repository.

Bijlsma, MJ; Daniel, RM; Janssen, F; De Stavola, BL; (2017) An Assessment and Extension of the Mechanism-Based Approach to the Identification of Age-Period-Cohort Models. Demography, 54 (2). pp. 721-743. ISSN 0070-3370 DOI: https://doi.org/10.1007/s13524-017-0562-6

Daniel, RM; De Stavola, BL; Vansteelandt, S; (2017) The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented? International journal of epidemiology. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyw227

Devakumar, Delan; Kular, Dalvir; Shrestha, Bhim P; Grijalva-Eternod, Carlos; Daniel, Rhian M; Saville, Naomi M; Manandhar, Dharma S; Costello, Anthony; Osrin, David; Wells, Jonathan CK; (2017) Socioeconomic determinants of growth in a longitudinal study in Nepal. Maternal & child nutrition, 14 (1). e12462-e12462. ISSN 1740-8695 DOI: https://doi.org/10.1111/mcn.12462

De Stavola, Bianca L; Daniel, Rhian M; (2016) Commentary: Incorporating concepts and methods from causal inference into life course epidemiology. International journal of epidemiology, 45 (4). pp. 1006-1010. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyw103

Greenland, Sander; Daniel, Rhian; Pearce, Neil; (2016) Outcome modelling strategies in epidemiology: traditional methods and basic alternatives. International journal of epidemiology, 45 (2). pp. 565-575. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyw040

Kahan, Brennan C; Rushton, Helen; Morris, Tim P; Daniel, Rhian M; (2016) A comparison of methods to adjust for continuous covariates in the analysis of randomised trials. BMC medical research methodology, 16 (1). 42-. ISSN 1471-2288 DOI: https://doi.org/10.1186/s12874-016-0141-3

Keogh, Ruth; Frost, Chris; Owen, Gail; Daniel, Rhian M; Langbehn, Doug R; Leavitt, Blair; Durr, Alexandra; Roos, Raymund AC; Landwehrmeyer, G Bernhard; Reilmann, Ralf; +4 more... Borowsky, Beth; Stout, Julie; Craufurd, David; Tabrizi, Sarah J; (2016) Medication Use in Early-HD Participants in Track-HD: an Investigation of its Effects on Clinical Performance. PLoS currents, 8 (HUNTIN). ecurrents.hd.8060298fac1801b01ccea6acc00f97cb-. ISSN 2157-3999 DOI: https://doi.org/10.1371/currents.hd.8060298fac1801b01ccea6acc00f97cb

Li, Ruoran; Daniel, Rhian; Rachet, Bernard; (2016) How much do tumor stage and treatment explain socioeconomic inequalities in breast cancer survival? Applying causal mediation analysis to population-based data. European journal of epidemiology, 31 (6). pp. 603-611. ISSN 0393-2990 DOI: https://doi.org/10.1007/s10654-016-0155-5

Vansteelandt, S; Daniel, RM; (2016) Interventional effects for mediation analysis with multiple mediators. Epidemiology (Cambridge, Mass). ISSN 1044-3983 DOI: https://doi.org/10.1097/EDE.0000000000000596

Melvin, Jennifer C; Garmo, Hans; Daniel, Rhian; Shanmugalingam, Thurkaa; Stattin, Pär; Häggström, Christel; Rudman, Sarah; Holmberg, Lars; Van Hemelrijck, Mieke; (2015) An investigation into the relationship between statins and cancer using population-based data. BJU international, 116 (5). pp. 681-683. ISSN 1464-4096 DOI: https://doi.org/10.1111/bju.12935 Full text not available from this repository.

Burgess, Stephen; Daniel, Rhian M; Butterworth, Adam S; Thompson, Simon G; EPIC-InterAct Consortium; (2014) Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways. International journal of epidemiology, 44 (2). pp. 484-495. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyu176

Daniel, RM; De Stavola, BL; Cousens, SN; Vansteelandt, S; (2014) Causal mediation analysis with multiple mediators. Biometrics, 71 (1). pp. 1-14. ISSN 0006-341X DOI: https://doi.org/10.1111/biom.12248

De Stavola, Bianca L; Daniel, Rhian M; Ploubidis, George B; Micali, Nadia; (2014) Mediation analysis with intermediate confounding: structural equation modeling viewed through the causal inference lens. American journal of epidemiology, 181 (1). pp. 64-80. ISSN 0002-9262 DOI: https://doi.org/10.1093/aje/kwu239

Jairath, Vipul; Thompson, J; Kahan, BC; Daniel, R; Hearnshaw, SA; Travis, SPL; Murphy, MF; Palmer, KR; Logan, RFA; (2014) Poor outcomes in hospitalized patients with gastrointestinal bleeding: impact of baseline risk, bleeding severity, and process of care. The American journal of gastroenterology, 109 (10). pp. 1603-1612. ISSN 0002-9270 DOI: https://doi.org/10.1038/ajg.2014.263 Full text not available from this repository.

Vansteelandt, S; Daniel, RM; (2014) On regression adjustment for the propensity score. Statistics in medicine, 33 (23). pp. 4053-4072. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.6207 Full text not available from this repository.

Westreich, Daniel; Daniel, Rhian M; (2014) Commentary: Berkson's fallacy and missing data. International journal of epidemiology, 43 (2). pp. 524-526. ISSN 0300-5771 DOI: https://doi.org/10.1093/ije/dyu023 Full text not available from this repository.

Daniel, R; de Stavola, B; (2013) RECENT DEVELOPMENTS IN CAUSAL MEDIATION ANALYSIS WITH MULTIPLE MEDIATORS: BRIDGING THEORY AND PRACTICE. [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/1105316 Full text not available from this repository.

Daniel, Rhian M; Tsiatis, Anastasios A; (2013) Efficient estimation of the distribution of time to composite endpoint when some endpoints are only partially observed. Lifetime data analysis, 19 (4). pp. 513-546. ISSN 1380-7870 DOI: https://doi.org/10.1007/s10985-013-9261-9 Full text not available from this repository.

Floyd, Sian; Sismanidis, Charalambos; Yamada, Norio; Daniel, Rhian; Lagahid, Jaime; Mecatti, Fulvia; Vianzon, Rosalind; Bloss, Emily; Tiemersma, Edine; Onozaki, Ikushi; +2 more... Glaziou, Philippe; Floyd, Katherine; (2013) Analysis of tuberculosis prevalence surveys: new guidance on best-practice methods. Emerging themes in epidemiology, 10 (1). 10-. ISSN 1742-7622 DOI: https://doi.org/10.1186/1742-7622-10-10

Li, Ruoran; Daniel, Rhian; Rachet, Bernard; (2013) How much of socioeconomic differences in survival in patients with breast cancer can be explained by differences in stage of diagnosis and treatment? Application of causal mediation analysis to routine data. Lancet, 382. S61-S61. ISSN 0140-6736 DOI: https://doi.org/10.1016/s0140-6736(13)62486-1 Full text not available from this repository.

Millett, Elizabeth RC; Quint, Jennifer K; Smeeth, Liam; Daniel, Rhian M; Thomas, Sara L; (2013) Incidence of community-acquired lower respiratory tract infections and pneumonia among older adults in the United Kingdom: a population-based study. PloS one, 8 (9). e75131-. ISSN 1932-6203 DOI: https://doi.org/10.1371/journal.pone.0075131

de Stavola, B; Daniel, R; Ploubidis, G; Micali, N; (2013) MEDIATION BY STRUCTURAL EQUATION MODELING OR CAUSAL INFERENCE: WHAT IS THE DIFFERENCE? [Conference or Workshop Item] https://researchonline.lshtm.ac.uk/id/eprint/1105287 Full text not available from this repository.

Brewer, Naomi; Zugna, Daniela; Daniel, Rhian; Borman, Barry; Pearce, Neil; Richiardi, Lorenzo; (2012) Which factors account for the ethnic inequalities in stage at diagnosis and cervical cancer survival in New Zealand? Cancer epidemiology, 36 (4). e251-e257. ISSN 1877-7821 DOI: https://doi.org/10.1016/j.canep.2012.03.005 Full text not available from this repository.

Daniel, RM; Cousens, SN; De Stavola, BL; Kenward, MG; Sterne, JAC; (2012) Methods for dealing with time-dependent confounding. Statistics in medicine, 32 (9). pp. 1584-1618. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.5686 Full text not available from this repository.

Daniel, RM; De Stavola, BL; Cousens, SN; (2012) Time-varying confounding: some practical considerations in a likelihood framework. In: Berzuini, C; Dawid, AP; Bernardinelli, L, (eds.) Causality: Statistical Perspectives and Applications. Wiley. ISBN 978-0470665565 https://researchonline.lshtm.ac.uk/id/eprint/627165 Full text not available from this repository.

Daniel, Rhian M; Kenward, Michael G; (2012) A method for increasing the robustness of multiple imputation. Computational statistics & data analysis, 56 (6). pp. 1624-1643. ISSN 0167-9473 DOI: https://doi.org/10.1016/j.csda.2011.10.006

Daniel, Rhian M; Kenward, Michael G; Cousens, Simon N; De Stavola, Bianca L; (2012) Using causal diagrams to guide analysis in missing data problems. Statistical methods in medical research, 21 (3). pp. 243-256. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280210394469

De Stavola, Bianca L; Daniel, Rhian M; (2012) Marginal structural models: the way forward for life-course epidemiology? Epidemiology (Cambridge, Mass), 23 (2). pp. 233-237. ISSN 1044-3983 DOI: https://doi.org/10.1097/EDE.0b013e318245847e Full text not available from this repository.

Daniel, Rhian M; De Stavola, Bianca L; Cousens, Simon N; (2011) Gformula: Estimating Causal Effects in the Presence of Time-Varying Confounding or Mediation using the G-Computation Formula. The Stata journal, 11 (4). pp. 479-517. ISSN 1536-867X DOI: https://doi.org/10.1177/1536867x1101100401 Full text not available from this repository.

Breitung, J; Chaganty, NR; Daniel, RM; Kenward, MG; Lechner, M; Martus, P; Sabo, RT; Wang, YG; Zorn, C; (2010) Discussion of "Generalized Estimating Equations: Notes on the Choice of the Working Correlation Matrix". Methods of information in medicine, 49 (5). pp. 426-432. ISSN 0026-1270 https://researchonline.lshtm.ac.uk/id/eprint/2064 Full text not available from this repository.

Santhakumaran, Shalini; O'Brien, Katie; Bakker, Roel; Ealden, Toby; Shafer, Leigh Anne; Daniel, Rhian M; Chapman, Ruth; Hayes, Richard J; White, Richard G; (2010) Polygyny and symmetric concurrency: comparing long-duration sexually transmitted infection prevalence using simulated sexual networks. Sexually transmitted infections, 86 (7). pp. 553-558. ISSN 1368-4973 DOI: https://doi.org/10.1136/sti.2009.041780 Full text not available from this repository.

White, Ian R; Daniel, Rhian; Royston, Patrick; (2010) Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables. Computational statistics & data analysis, 54 (10). pp. 2267-2275. ISSN 0167-9473 DOI: https://doi.org/10.1016/j.csda.2010.04.005 Full text not available from this repository.

Cheung, Yin Bun; Daniel, Rhian; Ng, Gim Yew; (2006) Response and non-response to a quality-of-life question on sexual life: a case study of the simple mean imputation method. Quality of life research, 15 (9). pp. 1493-1501. ISSN 0962-9343 DOI: https://doi.org/10.1007/s11136-006-0004-1 Full text not available from this repository.