Caille, A; Leyrat, C; Giraudeau, B; (2014) A comparison of imputation strategies in cluster randomized trials with missing binary outcomes. Statistical methods in medical research. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280214530030 Full text not available from this repository.

Carpenter, J; (2012) Special issue marking 40 years of the MSc Medical Statistics at the London School of Hygiene & Tropical Medicine. Statistical methods in medical research, 21 (3). p. 221. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280210394485 Full text not available from this repository.

Carpenter, JR; Kenward, MG; White, IR; (2007) Sensitivity analysis after multiple imputation under missing at random: a weighting approach. Statistical methods in medical research, 16 (3). pp. 259-75. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280206075303 Full text not available from this repository.

Cousens, S; Everington, D; Ward, HJT; Huillard D'Aignaux, J; Will, RG; Smith, PG; (2003) The geographical distribution of variant Creutzfeldt-Jakob disease cases in the UK: what can we learn from it? Statistical methods in medical research, 12 (3). pp. 235-246. ISSN 0962-2802 DOI: https://doi.org/10.1191/0962280203sm332ra Full text not available from this repository.

Curcin, V; Bottle, A; Molokhia, M; Millett, C; Majeed, A; (2010) Towards a scientific workflow methodology for primary care database studies. Statistical methods in medical research, 19 (4). pp. 378-393. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280209359880 Full text not available from this repository.

De Angelis, D; Sweeting, M; Ades, AE; Hickman, M; Hope, V; Ramsay, M; (2008) An evidence synthesis approach to estimating Hepatitis C Prevalence in England and Wales. Statistical methods in medical research, 18 (4). pp. 361-79. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280208094691 Full text not available from this repository.

Demiris, N; Lunn, D; Sharples, LD; (2011) Survival extrapolation using the poly-Weibull model. Statistical methods in medical research, 24 (2). pp. 287-301. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280211419645 Full text not available from this repository.

Donnelly, CA; Ferguson, NM; Ghani, AC; Anderson, RM; (2003) Extending backcalculation to analyse BSE data. Statistical methods in medical research, 12 (3). pp. 177-90. ISSN 0962-2802 DOI: https://doi.org/10.1191/0962280203sm337ra Full text not available from this repository.

Ghani, AC; Ferguson, NM; Donnelly, CA; Anderson, RM; (2003) Short-term projections for variant Creutzfeldt-Jakob disease onsets. Statistical methods in medical research, 12 (3). pp. 191-201. ISSN 0962-2802 DOI: https://doi.org/10.1191/0962280203sm327ra Full text not available from this repository.

Hernan, MA; McAdams, M; McGrath, N; Lanoy, E; Costagliola, D; (2009) Observation plans in longitudinal studies with time-varying treatments. Statistical methods in medical research, 18 (1). pp. 27-52. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280208092345 Full text not available from this repository.

Huillard D'Aignaux, JN; Cousens, SN; Smith, PG; (2003) The predictability of the epidemic of variant Creutzfeldt-Jakob disease by back-calculation methods. Statistical methods in medical research, 12 (3). pp. 203-20. ISSN 0962-2802 DOI: https://doi.org/10.1191/0962280203sm328ra Full text not available from this repository.

Ieva, F; Jackson, CH; Sharples, LD; (2015) Multi-state modelling of repeated hospitalisation and death in patients with heart failure: The use of large administrative databases in clinical epidemiology. Statistical methods in medical research, 26 (3). pp. 1350-1372. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280215578777 Full text not available from this repository.

Kenward, MG; (2015) James Roger: A brief biography. Statistical methods in medical research, 24 (4). pp. 399-402. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280214520734 Full text not available from this repository.

Kenward, MG; Carpenter, J; (2007) Multiple imputation: current perspectives. Statistical methods in medical research, 16 (3). pp. 199-218. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280206075304 Full text not available from this repository.

Kreif, N; Gruber, S; Radice, R; Grieve, R; Sekhon, JS; (2014) Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching. Statistical methods in medical research. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280214521341 Full text not available from this repository.

Marra, G; Radice, R; (2010) Penalised regression splines: theory and application to medical research. Statistical methods in medical research, 19 (2). pp. 107-125. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280208096688 Full text not available from this repository.

Molenberghs, G; Kenward, MG; Aerts, M; Verbeke, G; Tsiatis, AA; Davidian, M; Rizopoulos, D; (2012) On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: Sequential trials, random sample sizes, and missing data. Statistical methods in medical research, 23 (1). pp. 11-41. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280212445801 Full text not available from this repository.

Ng, ES; Diaz-Ordaz, K; Grieve, R; Nixon, RM; Thompson, SG; Carpenter, JR; (2013) Multilevel models for cost-effectiveness analyses that use cluster randomised trial data: An approach to model choice. Statistical methods in medical research. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280213511719 Full text not available from this repository.

Njagi, EN; Molenberghs, G; Rizopoulos, D; Verbeke, G; Kenward, MG; Dendale, P; Willekens, K; (2013) A flexible joint modeling framework for longitudinal and time-to-event data with overdispersion. Statistical methods in medical research. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280213495994 Full text not available from this repository.

Williamson, E; Morley, R; Lucas, A; Carpenter, J; (2011) Propensity scores: From naive enthusiasm to intuitive understanding. Statistical methods in medical research, 21 (3). pp. 273-293. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280210394483 Full text not available from this repository.

Bartlett, JW; Keogh, RH; (2016) Bayesian correction for covariate measurement error: A frequentist evaluation and comparison with regression calibration. Statistical methods in medical research. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280216667764

Bartlett, JW; Seaman, SR; White, IR; Carpenter, JR; Alzheimer's Disease Neuroimaging Initiative*; (2014) Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model. Statistical methods in medical research, 24 (4). pp. 462-87. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280214521348

Daniel, RM; Kenward, MG; Cousens, SN; De Stavola, BL; (2012) Using causal diagrams to guide analysis in missing data problems. Statistical methods in medical research, 21 (3). pp. 243-56. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280210394469

Holm Hansen, C; Warner, P; Parker, RA; Walker, BR; Critchley, HO; Weir, CJ; (2015) Development of a Bayesian response-adaptive trial design for the Dexamethasone for Excessive Menstruation study. Statistical methods in medical research. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280215606155

Hossain, A; Diaz-Ordaz, K; Bartlett, JW; (2016) Missing continuous outcomes under covariate dependent missingness in cluster randomised trials. Statistical methods in medical research. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280216648357

Leyrat, C; Seaman, SR; White, IR; Douglas, I; Smeeth, L; Kim, J; Resche-Rigon, M; Carpenter, JR; Williamson, EJ; (2017) Propensity score analysis with partially observed covariates: How should multiple imputation be used? Statistical methods in medical research. p. 962280217713032. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280217713032

Remontet, L; Uhry, Z; Bossard, N; Iwaz, J; Belot, A; Danieli, C; Charvat, H; Roche, L; CENSUR Working Survival Group; (2018) Flexible and structured survival model for a simultaneous estimation of non-linear and non-proportional effects and complex interactions between continuous variables: Performance of this multidimensional penalized spline approach in net survival trend analysis. Statistical methods in medical research. p. 962280218779408. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280218779408

Rubio, FJ; Remontet, L; Jewell, NP; Belot, A; (2018) On a general structure for hazard-based regression models: An application to population-based cancer research. Statistical methods in medical research. p. 962280218782293. ISSN 0962-2802 DOI: https://doi.org/10.1177/0962280218782293