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Number of items: 38.

White, James, Holliday, Jo, Daniel, Rhian, Campbell, Rona and Moore, Laurence 2019. Diffusion of effects of the ASSIST school-based smoking prevention intervention to non-participating family members: a randomised controlled trial. Addiction 10.1111/add.14862
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Aalen, Odd O., Stensrud, Mats J., Didelez, Vanessa, Daniel, Rhian, Roysland, Kjetil and Srohmaier, Susanne 2019. Time-dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model. Biometrical Journal 10.1002/bimj.201800263

Carter, Daniel, Daniel, Rhian, Torrens, Ana, Sanchez, Mauro, Maciel, Ethel, Bartholomay, Patricia, Barreira, Draurio, Rasella, Davide, Barreto, Mauricio, Rodrigues, Laura and Boccia, Delia 2019. The impact of a cash transfer programme on tuberculosis treatment success rate: A quasi-experimental study in treatment success rate: A quasi-experimental study in Brazil. BMJ Global Health 4 , e001029. 10. 1136/bmjgh- 2018- 001029
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Newsome, S.J., Daniel, Rhian M., Carr, S.B., Bilton, D. and Keogh, R.H. 2019. Investigating the effects of long-term dornase alfa use on lung function using registry data. Journal of Cystic Fibrosis 18 (18) , pp. 110-117. 10.1016/j.jcf.2018.08.004
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Hurt, Lisa, Wright, Melissa, Demmler, Joanne, Van Der Voort, Judith, Morris, Susan, Brook, Fiona, Tucker, David, Chapman, Maria, Francis, Nick A., Daniel, Rhian, Fone, David, Brophy, Sinead and Paranjothy, Shantini 2019. Mild-to-moderate renal pelvis dilatation identified during pregnancy and hospital admissions in childhood: An electronic birth cohort study in Wales, UK. PLoS Medicine 16 (7) , e1002859. 10.1371/journal.pmed.1002859
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Newsome, Simon, Keogh, Ruth and Daniel, Rhian 2018. Estimating long-term treatment effects in observational data: a comparison of the performance of different methods under real-world uncertainty. Statistics in Medicine 37 (15) , pp. 2367-2390. 10.1002/sim.7664
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Micali, N., Daniel, Rhian, Ploubidis, G. B. and De Stavola, B. L. 2018. Maternal pre-pregnancy weight status and adolescent eating disorder behaviors: a longitudinal study of risk pathways. Epidemiology 29 (4) , pp. 579-589. 10.1097/EDE.0000000000000850
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Keogh, Ruth H., Daniel, Rhian M., Vanderweele, Tyler J. and Vansteelandt, Stijn 2018. Analysis of longitudinal studies with repeated outcome measures: adjusting for time-dependent confounding using conventional methods. American Journal of Epidemiology 187 (5) , pp. 1085-1092. 10.1093/aje/kwx311
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McQuire, Cheryl, Daniel, Rhian, Hurt, Lisa, Kemp, Alison and Paranjothy, Shantini 2018. The causal web of fetal alcohol spectrum disorders: a review and causal diagram. European Child and Adolescent Psychiatry 10.1007/s00787-018-1264-3
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Daniel, Rhian 2018. Double robustness. Wiley StatsRef: Statistics Reference Online, John Wiley & Sons, Ltd,

Devakumar, Delan, Kular, Dalvir, Shrestha, Bhim P., Grijalva-Eternod, Carlos, Daniel, Rhian M., Saville, Naomi M., Manandhar, Dharma S., Costello, Anthony, Osrin, David and Wells, Jonathan K. C. 2017. Socioeconomic determinants of growth in a longitudinal study in Nepal. Maternal & Child Nutrition , e12462. 10.1111/mcn.12462
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Bijlsma, Maarten J., Daniel, Rhian M., Janssen, Fanny and De Stavola, Bianca L. 2017. An assessment and extension of the mechanism-based approach to the identification of age-period-cohort models. Demography 54 (2) , pp. 721-743. 10.1007/s13524-017-0562-6
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Vansteelandt, Stijn and Daniel, Rhian M. 2017. Interventional effects for mediation analysis with multiple mediators. Epidemiology 28 (2) , pp. 258-265. 10.1097/EDE.0000000000000596
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Daniel, Rhian M., De Stavola, Bianca L. and Vansteelandt, Stijn 2017. The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented? International Journal of Epidemiology 45 (6) , pp. 1817-1829. 10.1093/ije/dyw227
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Daniel, Rhian 2017. G-computation formula. Wiley StatsRef: Statistics Reference Online, Wiley Online Library, (10.1002/9781118445112)

Daniel, Rhian 2017. Double Robustness. Wiley StatsRef: Statistics Reference Online, Wiley Online Library, (10.1002/9781118445112)

De Stavola, Bianca L and Daniel, Rhian 2016. Incorporating concepts and methods from causal inference into life course epidemiology. International Journal of Epidemiology 45 (4) , pp. 1006-1010. 10.1093/ije/dyw103
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Li, Ruoran, Daniel, Rhian and 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. 10.1007/s10654-016-0155-5
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Greenland, Sander, Daniel, Rhian and Pearce, Neil 2016. Outcome modelling strategies in epidemiology: traditional methods and basic alternatives. International Journal of Epidemiology 45 (2) , pp. 565-575. 10.1093/ije/dyw040
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Kahan, Brennan C., Rushton, Helen, Morris, Tim P. and Daniel, Rhian 2016. A comparison of methods to adjust for continuous covariates in the analysis of randomised trials. BMC Medical Research Methodology 16 , 42. 10.1186/s12874-016-0141-3
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Keogh, Ruth, Frost, Chris, Owen, Gail, Daniel, Rhian M., Langbehn, Doug R., Leavitt, Blair, Durr, Alexandra, Roos, Raymund A.C., Landwehrmeyer, G. Bernhard, Reilmann, Ralf, Borowsky, Beth, Stout, Julie, Craufurd, David and Tabrizi, Sarah J. 2016. Medication use in early-HD participants in track-HD: an investigation of its effects on clinical performance. PLoS Currents 2016 (1) , Jan 11. 10.1371/currents.hd.8060298fac1801b01ccea6acc00f97cb

Burgess, Stephen, Daniel, Rhian, Butterworth, Adam S., Thompson, Simon G. and the EPIC-InterAct Consortium, 2015. Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways. International Journal of Epidemiology 44 (2) , pp. 484-495. 10.1093/ije/dyu176
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Daniel, Rhian, De Stavola, B. L., Cousens, S. N. and Vansteelandt, S. 2015. Causal mediation analysis with multiple mediators. Biometrics 71 (1) , pp. 1-14. 10.1111/biom.12248
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De Stavola, Bianca L., Daniel, Rhian, Ploubidis, George B. and Micali, Nadia 2015. Mediation analysis with intermediate confounding: structural equation modeling viewed through the causal inference lens. American Journal of Epidemiology 181 (1) , pp. 64-80. 10.1093/aje/kwu239
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Vansteelandt, S. and Daniel, Rhian 2014. On regression adjustment for the propensity score. Statistics in Medicine 33 (23) , pp. 4053-4072. 10.1002/sim.6207

Jairath, Vipul, Thompson, J., Kahan, B. C., Daniel, Rhian, Hearnshaw, S. A., Travis, S. P. L., Murphy, M. F., Palmer, K. R. and Logan, R. F. A. 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. 10.1038/ajg.2014.263

Westreich, Daniel and Daniel, Rhian 2014. Commentary: Berkson’s fallacy and missing data. International Journal of Epidemiology 43 (2) , pp. 524-526. 10.1093/ije/dyu023

Daniel, Rhian and 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. 10.1007/s10985-013-9261-9

Floyd, Sian, Sismanidis, Charalambos, Yamada, Norio, Daniel, Rhian, Lagahid, Jaime, Mecatti, Fulvia, Vianzon, Rosalind, Bloss, Emily, Tiemersma, Edine, Onozaki, Ikushi, Glaziou, Philippe and Floyd, Katherine 2013. Analysis of tuberculosis prevalence surveys: new guidance on best-practice methods. Emerging Themes in Epidemiology 10 , 10. 10.1186/1742-7622-10-10
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Millett, Elizabeth R. C., Quint, Jennifer K., Smeeth, Liam, Daniel, Rhian and 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. 10.1371/journal.pone.0075131
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Daniel, Rhian, Cousens, S. N., De Stavola, B. L., Kenward, M. G. and Sterne, J. A. C. 2013. Methods for dealing with time-dependent confounding. Statistics in Medicine 32 (9) , pp. 1584-1618. 10.1002/sim.5686

Brewer, Naomi, Zugna, Daniela, Daniel, Rhian, Borman, Barry, Pearce, Neil and 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. 10.1016/j.canep.2012.03.005

Daniel, Rhian, Kenward, Michael G, Cousens, Simon N and 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. 10.1177/0962280210394469

Daniel, Rhian and Kenward, Michael G. 2012. A method for increasing the robustness of multiple imputation. Computational Statistics & Data Analysis 56 (6) , pp. 1624-1643. 10.1016/j.csda.2011.10.006

De Stavola, Bianca L. and Daniel, Rhian 2012. Marginal structural models: the way forward for life-course epidemiology? Epidemiology 23 (2) , pp. 233-237. 10.1097/EDE.0b013e318245847e

Santhakumaran, S., O'Brien, K., Bakker, R., Ealden, T., Shafer, L. A., Daniel, Rhian, Chapman, R., Hayes, R. J. and White, R. 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. 10.1136/sti.2009.041780

White, Ian R., Daniel, Rhian and 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. 10.1016/j.csda.2010.04.005

Cheung, Yin Bun, Daniel, Rhian and 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. 10.1007/s11136-006-0004-1

This list was generated on Sat Dec 14 05:59:26 2019 GMT.