Items where Author is "Daniel, Rhian M"

Number of items: 37.
Bibliographic data only
  • Discussion of "Generalized Estimating Equations: Notes on the Choice of the Working Correlation Matrix". (2010) Breitung, J; Chaganty, NR; Daniel, RM; Kenward, MG; Lechner, M; Martus, P; Sabo, RT; Wang, YG; Zorn, C
  • Which factors account for the ethnic inequalities in stage at diagnosis and cervical cancer survival in New Zealand? (2012) Brewer, Naomi; Zugna, Daniela; Daniel, Rhian; Borman, Barry; Pearce, Neil; Richiardi, Lorenzo
  • Response and non-response to a quality-of-life question on sexual life: a case study of the simple mean imputation method. (2006) Cheung, Yin Bun; Daniel, Rhian; Ng, Gim Yew
  • RECENT DEVELOPMENTS IN CAUSAL MEDIATION ANALYSIS WITH MULTIPLE MEDIATORS: BRIDGING THEORY AND PRACTICE. (2013) Daniel, R; de Stavola, B
  • Methods for dealing with time-dependent confounding. (2012) Daniel, RM; Cousens, SN; De Stavola, BL; Kenward, MG; Sterne, JAC
  • Time-varying confounding: some practical considerations in a likelihood framework. (2012) Daniel, RM; De Stavola, BL; Cousens, SN
  • Gformula: Estimating Causal Effects in the Presence of Time-Varying Confounding or Mediation using the G-Computation Formula. (2011) Daniel, Rhian M; De Stavola, Bianca L; Cousens, Simon N
  • Efficient estimation of the distribution of time to composite endpoint when some endpoints are only partially observed. (2013) Daniel, Rhian M; Tsiatis, Anastasios A
  • Marginal structural models: the way forward for life-course epidemiology? (2012) De Stavola, Bianca L; Daniel, Rhian M
  • Poor outcomes in hospitalized patients with gastrointestinal bleeding: impact of baseline risk, bleeding severity, and process of care. (2014) Jairath, Vipul; Thompson, J; Kahan, BC; Daniel, R; Hearnshaw, SA; Travis, SPL; Murphy, MF; Palmer, KR; Logan, RFA
  • 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. (2013) Li, Ruoran; Daniel, Rhian; Rachet, Bernard
  • An investigation into the relationship between statins and cancer using population-based data. (2015) Melvin, Jennifer C; Garmo, Hans; Daniel, Rhian; Shanmugalingam, Thurkaa; Stattin, Pär; Häggström, Christel; Rudman, Sarah; Holmberg, Lars; Van Hemelrijck, Mieke
  • Maternal Prepregnancy Weight Status and Adolescent Eating Disorder Behaviors: A Longitudinal Study of Risk Pathways. (2018) Micali, Nadia; Daniel, Rhian M; Ploubidis, George B; De Stavola, Bianca L
  • Polygyny and symmetric concurrency: comparing long-duration sexually transmitted infection prevalence using simulated sexual networks. (2010) Santhakumaran, Shalini; O'Brien, Katie; Bakker, Roel; Ealden, Toby; Shafer, Leigh Anne; Daniel, Rhian M; Chapman, Ruth; Hayes, Richard J; White, Richard G
  • On regression adjustment for the propensity score. (2014) Vansteelandt, S; Daniel, RM
  • Commentary: Berkson's fallacy and missing data. (2014) Westreich, Daniel; Daniel, Rhian M
  • Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables. (2010) White, Ian R; Daniel, Rhian; Royston, Patrick
  • MEDIATION BY STRUCTURAL EQUATION MODELING OR CAUSAL INFERENCE: WHAT IS THE DIFFERENCE? (2013) de Stavola, B; Daniel, R; Ploubidis, G; Micali, N
  • Public
  • An Assessment and Extension of the Mechanism-Based Approach to the Identification of Age-Period-Cohort Models. (2017) Bijlsma, MJ; Daniel, RM; Janssen, F; De Stavola, BL
  • Network Mendelian randomization: using genetic variants as instrumental variables to investigate mediation in causal pathways. (2014) Burgess, Stephen; Daniel, Rhian M; Butterworth, Adam S; Thompson, Simon G; EPIC-InterAct Consortium
  • Causal mediation analysis with multiple mediators. (2014) Daniel, RM; De Stavola, BL; Cousens, SN; Vansteelandt, S
  • The formal approach to quantitative causal inference in epidemiology: misguided or misrepresented? (2017) Daniel, RM; De Stavola, BL; Vansteelandt, S
  • A method for increasing the robustness of multiple imputation. (2012) Daniel, Rhian M; Kenward, Michael G
  • Using causal diagrams to guide analysis in missing data problems. (2012) Daniel, Rhian M; Kenward, Michael G; Cousens, Simon N; De Stavola, Bianca L
  • Commentary: Incorporating concepts and methods from causal inference into life course epidemiology. (2016) De Stavola, Bianca L; Daniel, Rhian M
  • Mediation analysis with intermediate confounding: structural equation modeling viewed through the causal inference lens. (2014) De Stavola, Bianca L; Daniel, Rhian M; Ploubidis, George B; Micali, Nadia
  • Socioeconomic determinants of growth in a longitudinal study in Nepal. (2017) 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
  • Analysis of tuberculosis prevalence surveys: new guidance on best-practice methods. (2013) Floyd, Sian; Sismanidis, Charalambos; Yamada, Norio; Daniel, Rhian; Lagahid, Jaime; Mecatti, Fulvia; Vianzon, Rosalind; Bloss, Emily; Tiemersma, Edine; Onozaki, Ikushi; Glaziou, Philippe; Floyd, Katherine
  • Outcome modelling strategies in epidemiology: traditional methods and basic alternatives. (2016) Greenland, Sander; Daniel, Rhian; Pearce, Neil
  • The impact of a cash transfer programme on tuberculosis treatment success rate: a quasi-experimental study in Brazil. (2019) 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; Boccia, Delia
  • A comparison of methods to adjust for continuous covariates in the analysis of randomised trials. (2016) Kahan, Brennan C; Rushton, Helen; Morris, Tim P; Daniel, Rhian M
  • Medication Use in Early-HD Participants in Track-HD: an Investigation of its Effects on Clinical Performance. (2016) Keogh, Ruth; Frost, Chris; Owen, Gail; Daniel, Rhian M; Langbehn, Doug R; Leavitt, Blair; Durr, Alexandra; Roos, Raymund AC; Landwehrmeyer, G Bernhard; Reilmann, Ralf; Borowsky, Beth; Stout, Julie; Craufurd, David; Tabrizi, Sarah J
  • How much do tumor stage and treatment explain socioeconomic inequalities in breast cancer survival? Applying causal mediation analysis to population-based data. (2016) Li, Ruoran; Daniel, Rhian; Rachet, Bernard
  • Incidence of community-acquired lower respiratory tract infections and pneumonia among older adults in the United Kingdom: a population-based study. (2013) Millett, Elizabeth RC; Quint, Jennifer K; Smeeth, Liam; Daniel, Rhian M; Thomas, Sara L
  • Using registry data to estimate the effects of long-term treatment use in cystic fibrosis. (2019) Newsome, S
  • Dynamic Prediction, Mediation and Communication for Survival Outcomes, with applications to Cystic Fibrosis. (2021) Tanner, KT
  • Interventional effects for mediation analysis with multiple mediators. (2016) Vansteelandt, S; Daniel, RM