Items where Author is "Daniel, R"
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Number of items: 18.
2018
Micali, N;
Daniel, RM;
Ploubidis, GB;
De Stavola, BL;
(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.
2017
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, D;
Kular, D;
Shrestha, BP;
Grijalva-Eternod, C;
Daniel, RM;
Saville, NM;
Manandhar, DS;
Costello, A;
Osrin, D;
Wells, JCK;
(2017)
Socioeconomic determinants of growth in a longitudinal study in Nepal.
Maternal & child nutrition.
ISSN 1740-8695
DOI: https://doi.org/10.1111/mcn.12462
2016
De Stavola, BL;
Daniel, RM;
(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
Item availability may be restricted.
Greenland, S;
Daniel, R;
Pearce, N;
(2016)
Outcome modelling strategies in epidemiology: traditional methods and basic alternatives.
International journal of epidemiology, 45 (2).
pp. 565-75.
ISSN 0300-5771
DOI: https://doi.org/10.1093/ije/dyw040
Kahan, BC;
Rushton, H;
Morris, TP;
Daniel, RM;
(2016)
A comparison of methods to adjust for continuous covariates in the analysis of randomised trials.
BMC medical research methodology, 16 (1).
p. 42.
ISSN 1471-2288
DOI: https://doi.org/10.1186/s12874-016-0141-3
Keogh, R;
Frost, C;
Owen, G;
Daniel, RM;
Langbehn, DR;
Leavitt, B;
Durr, A;
Roos, RA;
Landwehrmeyer, GB;
Reilmann, R;
+4 more...
Borowsky, B;
Stout, J;
Craufurd, D;
Tabrizi, SJ;
(2016)
Medication Use in Early-HD Participants in Track-HD: an Investigation of its Effects on Clinical Performance.
PLoS currents, 8.
ISSN 2157-3999
DOI: https://doi.org/10.1371/currents.hd.8060298fac1801b01ccea6acc00f97cb
Li, R;
Daniel, R;
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. 603-11.
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
2015
Melvin, JC;
Garmo, H;
Daniel, R;
Shanmugalingam, T;
Stattin, P;
Haggstrom, C;
Rudman, S;
Holmberg, L;
van Hemelrijck, M;
(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.
2014
Burgess, S;
Daniel, RM;
Butterworth, AS;
Thompson, SG;
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. 484-95.
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
Jairath, V;
Thompson, J;
Kahan, BC;
Daniel, R;
Hearnshaw, SA;
Travis, SP;
Murphy, MF;
Palmer, KR;
Logan, RF;
(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. 1603-12.
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. 4053-72.
ISSN 0277-6715
DOI: https://doi.org/10.1002/sim.6207
Full text not available from this repository.
Westreich, D;
Daniel, RM;
(2014)
Commentary: Berkson's fallacy and missing data.
International journal of epidemiology, 43 (2).
pp. 524-6.
ISSN 0300-5771
DOI: https://doi.org/10.1093/ije/dyu023
Full text not available from this repository.
de Stavola, BL;
Daniel, RM;
Ploubidis, GB;
Micali, N;
(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
2013
Floyd, S;
Sismanidis, C;
Yamada, N;
Daniel, R;
Lagahid, J;
Mecatti, F;
Vianzon, R;
Bloss, E;
Tiemersma, E;
Onozaki, I;
+2 more...
Glaziou, P;
Floyd, K;
(2013)
Analysis of tuberculosis prevalence surveys: new guidance on best-practice methods.
Emerging themes in epidemiology, 10 (1).
p. 10.
ISSN 1742-7622
DOI: https://doi.org/10.1186/1742-7622-10-10