Dr Rhian Daniel
Reader in Medical Statistics
- Email:
- danielr8@cardiff.ac.uk
- Location:
- 306c, Neuadd Meirionnydd, Ysbyty Athrofaol Cymru, Parc y Mynydd Bychan, Caerdydd, CF14 4YS
- Siarad Cymraeg
- Sylwebydd y cyfryngau
- Ar gael fel goruchwyliwr ôl-raddedig
Mae fy mhrif ffocws ymchwil ar ddulliau ystadegol sydd yn berthnasol ar gyfer dysgu oddi wrth ddata am gysylltiadau "achos ac effaith", yn enwedig pan nad yw'r data wedi cael eu casglu drwy redeg arbrawf. Mae gennyf ddiddordeb arbennig mewn sefyllfaoedd, megis wrth geisio dysgu am gyd-effeithiau achosion sydd yn newid gydag amser, a phan yn ceisio dadansoddi'r llwybrau achosol o un achos at ei effaith, pan bod dulliau safonol yn synhwyrol dim ond o dan ragdybiaethau hynod gryf, ond lle mae dulliau mwy modern, yn hannu o'r maes a'i elwir yn Saesneg yn "causal inference", yn dibynnu ar ragdybiaethau mwy realistig. Mae fy ngwaith yn cynnwys datblygu, lledaenu a chymhwyso'r dulliau hyn. Mae fy mhrif waith methodolegol wedi ei ariannu drwy gymrodoriaeth Syr Henry Dale gan yr Ymddiriedolaeth Wellcome a'r Gymdeithas Frenhinol ac yn edrych ar ddulliau ystadegol ar gyfer astudio cyfryngwyr aml-ddimensiynol amrywiadau genetig sydd yn effeithio ar glefydau cronig. Mae fy nghydweithrediadau cymhwysol cyfredol / diweddar yn cynnwys ymchwilio gwahaniaethau cymdeithasol ac economaidd mewn goroesiad canser y fron, patrymau rhyng-genedlaethol mewn anhwylderau bwyta, ac effeithiolrwydd triniaethau a roddir i gleifion â Ffibrosis Systig. Fel newydd-ddyfodiad i Is-adran Feddygaeth y Boblogaeth (ers Mehefin 2017), rwy'n edrych ymlaen at gydweithio â'm cyfoedion newydd ar sawl prosiect, yn cynnwys rhai fydd yn datblygu a chymhwyso dulliau "achos ac effaith" i sefyllfaoedd, ee ym manc data SAIL, pan mae'r data wedi cael eu casglu drwy rwtîn, yn hytrach nag yn benodol ar gyfer ymchwil.
Addysg a chymwysterau
- 2009: PhD ("On aspects of robustness and sensitivity in missing data methods"; arolygwr: Mike Kenward) Ysgol Hylendid a Meddygaeth Drofannol Llundain, Llundain, y DU
- 2005: MSc (Ystadegaeth Feddygol) Ysgol Hylendid a Meddygaeth Drofannol Llundain, Llundain, y DU
- 2004: Certificate of Advanced Studies (Mathemateg) Coleg Y Breninesau, Caergrawnt, y DU
- 2003: BA (Mathemateg) Coleg Y Breninesau, Caergrawnt, y DU
Manylion gyrfa
- 2017 - nawr: Darllenydd, Is-Adran Meddygaeth y Boblogaeth, Prifysgol Caerdydd
- 2015 - 2017: Darlithydd a Chymrawd Syr Henry Dale, Yr Adran Ystadegaeth Feddygol, Ysgol Hylendid a Meddygaeth Drofannol Llundain
- 2013 - 2015: Darlithydd, Yr Adran Ystadegaeth Feddygol, Ysgol Hylendid a Meddygaeth Drofannol Llundain
- 2011 - 2013: Cymrawd Ymchwil, Yr Adran Ystadegaeth Feddygol, Ysgol Hylendid a Meddygaeth Drofannol Llundain
- 2008 - 2011: Cymrawd Ymchwil, Yr Adran Epidemioleg Clefydau Heintus, Ysgol Hylendid a Meddygaeth Drofannol Llundain
Aelodaethau proffesiynol
- Royal Statistical Society
- International Biometrics Society
2018
- Newsome, S.et al. 2018. Investigating the effects of long-term dornase alfa use on lung function using registry data. Journal of Cystic Fibrosis (10.1016/j.jcf.2018.08.004)
- Micali, N.et al. 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)
- Keogh, R. H.et al. 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)
- Daniel, R. 2018. Double robustness. In: Wiley StatsRef: Statistics Reference Online. John Wiley & Sons, Ltd
- Newsome, S., Keogh, R. and Daniel, R. 2018. Estimating long-term treatment effects in observational data: a comparison of the performance of different methods under real-world uncertainty. Statistics in Medicine
2017
- Devakumar, D.et al. 2017. Socioeconomic determinants of growth in a longitudinal study in Nepal. Maternal & Child Nutrition, article number: e12462. (10.1111/mcn.12462)
- Bijlsma, M. J.et al. 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)
- Vansteelandt, S. and Daniel, R. M. 2017. Interventional effects for mediation analysis with multiple mediators. Epidemiology 28(2), pp. 258-265. (10.1097/EDE.0000000000000596)
- Daniel, R. M., De Stavola, B. L. and Vansteelandt, S. 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)
- Daniel, R. 2017. G-computation formula. In: Wiley StatsRef: Statistics Reference Online. Wiley Online Library, (10.1002/9781118445112)
- Daniel, R. 2017. Double Robustness. In: Wiley StatsRef: Statistics Reference Online. Wiley Online Library, (10.1002/9781118445112)
2016
- De Stavola, B. L. and Daniel, R. 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)
- Li, R., Daniel, R. and Rachet, B. 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)
- Greenland, S., Daniel, R. and Pearce, N. 2016. Outcome modelling strategies in epidemiology: traditional methods and basic alternatives. International Journal of Epidemiology 45(2), pp. 565-575. (10.1093/ije/dyw040)
- Kahan, B. C.et al. 2016. A comparison of methods to adjust for continuous covariates in the analysis of randomised trials. BMC Medical Research Methodology 16, article number: 42. (10.1186/s12874-016-0141-3)
- Keogh, R.et al. 2016. Medication use in early-HD participants in track-HD: an investigation of its effects on clinical performance. PLoS Currents 2016(1), article number: Jan 11. (10.1371/currents.hd.8060298fac1801b01ccea6acc00f97cb)
2015
- Burgess, S.et al. 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)
- Daniel, R.et al. 2015. Causal mediation analysis with multiple mediators. Biometrics 71(1), pp. 1-14. (10.1111/biom.12248)
- De Stavola, B. L.et al. 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)
2014
- Vansteelandt, S. and Daniel, R. 2014. On regression adjustment for the propensity score. Statistics in Medicine 33(23), pp. 4053-4072. (10.1002/sim.6207)
- Jairath, V.et al. 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, D. and Daniel, R. 2014. Commentary: Berkson’s fallacy and missing data. International Journal of Epidemiology 43(2), pp. 524-526. (10.1093/ije/dyu023)
2013
- Daniel, R. and Tsiatis, A. 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, S.et al. 2013. Analysis of tuberculosis prevalence surveys: new guidance on best-practice methods. Emerging Themes in Epidemiology 10, article number: 10. (10.1186/1742-7622-10-10)
- Millett, E. R. C.et al. 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), article number: e75131. (10.1371/journal.pone.0075131)
- Daniel, R.et al. 2013. Methods for dealing with time-dependent confounding. Statistics in Medicine 32(9), pp. 1584-1618. (10.1002/sim.5686)
2012
- Brewer, N.et al. 2012. Which factors account for the ethnic inequalities in stage at diagnosis and cervical cancer survival in New Zealand?. Cancer Epidemiology 36(4), pp. e251-e257. (10.1016/j.canep.2012.03.005)
- Daniel, R.et al. 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, R. and Kenward, M. 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, B. L. and Daniel, R. 2012. Marginal structural models: the way forward for life-course epidemiology?. Epidemiology 23(2), pp. 233-237. (10.1097/EDE.0b013e318245847e)
2010
- Santhakumaran, S.et al. 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, I. R., Daniel, R. and Royston, P. 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)
2006
- Cheung, Y. B., Daniel, R. and Ng, G. Y. 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)