Items where Research Centre is "Centre for Statistical Methodology"

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Jump to: 2018
Number of items: 20.

2018

Agbla, SC; DiazOrdaz, K; (2018) Reporting non-adherence in cluster randomised trials: A systematic review. Clinical trials (London, England). p. 1740774518761666. ISSN 1740-7745 DOI: https://doi.org/10.1177/1740774518761666
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Brakenhoff, TB; Mitroiu, M; Keogh, RH; Moons, KGM; Groenwold, RHH; van Smeden, M; (2018) Measurement error is often neglected in medical literature: a systematic review. Journal of clinical epidemiology. ISSN 0895-4356 DOI: https://doi.org/10.1016/j.jclinepi.2018.02.023 Item availability may be restricted.
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Buteau, S; Goldberg, MS; Burnett, RT; Gasparrini, A; Valois, MF; Brophy, JM; Crouse, DL; Hatzopoulou, M; (2018) Associations between ambient air pollution and daily mortality in a cohort of congestive heart failure: Case-crossover and nested case-control analyses using a distributed lag nonlinear model. Environment international. ISSN 0160-4120 DOI: https://doi.org/10.1016/j.envint.2018.01.003 Item availability may be restricted.
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Cox, DR; Kartsonaki, C; Keogh, RH; (2018) Big data: Some statistical issues. Statistics & probability letters, 136. pp. 111-115. ISSN 0167-7152 DOI: https://doi.org/10.1016/j.spl.2018.02.015
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Goldstein, H; Carpenter, J; Kenward, M; (2018) Bayesian models for weighted data with missing values: a bootstrap approach. Applied statistics. ISSN 0035-9254 DOI: https://doi.org/10.1111/rssc.12259 Item availability may be restricted.
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Hollestein, LM; Carpenter, JR; (2018) Missing data in clinical research: an integrated approach. The British journal of dermatology, 177 (6). pp. 1463-1465. ISSN 0007-0963 DOI: https://doi.org/10.1111/bjd.16010 Item availability may be restricted.
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Kessy, A; Lewin, A; Strimmer, K; (2018) Optimal Whitening and Decorrelation. The American statistician. pp. 1-6. ISSN 0003-1305 DOI: https://doi.org/10.1080/00031305.2016.1277159
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Maringe, C; Pohar Perme, M; Stare, J; Rachet, B; (2018) Explained variation of excess hazard models. Statistics in medicine. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.7645
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Martinussen, T; Vansteelandt, S; (2018) Instrumental variables estimation with competing risk data. Biostatistics (Oxford, England). ISSN 1465-4644 DOI: https://doi.org/10.1093/biostatistics/kxy039 Full text not available from this repository.

Paige, E; Barrett, J; Stevens, D; Keogh, RH; Sweeting, MJ; Nazareth, I; Petersen, I; Wood, AM; (2018) Landmark Models for Optimizing the Use of Repeated Measurements of Risk Factors in Electronic Health Records to Predict Future Disease Risk. American journal of epidemiology. ISSN 0002-9262 DOI: https://doi.org/10.1093/aje/kwy018
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Sharples, LD; (2018) The role of statistics in the era of big data: Electronic health records for healthcare research. Statistics & probability letters, 136. pp. 105-110. ISSN 0167-7152 DOI: https://doi.org/10.1016/j.spl.2018.02.044 Item availability may be restricted.
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Vansteelandt, S; Walter, S; Tchetgen Tchetgen, E; (2018) Eliminating survivor bias in two-stage instrumental variable estimators. Epidemiology (Cambridge, Mass), 29 (4). pp. 536-541. ISSN 1044-3983 DOI: https://doi.org/10.1097/EDE.0000000000000835 Full text not available from this repository.

Widschwendter, M; Jones, A; Evans, I; Reisel, D; Dillner, J; Sundström, K; Steyerberg, EW; Vergouwe, Y; Wegwarth, O; Rebitschek, FG; +16 more... Siebert, U; Sroczynski, G; de Beaufort, ID; Bolt, I; Cibula, D; Zikan, M; Bjørge, L; Colombo, N; Harbeck, N; Dudbridge, F; Tasse, AM; Knoppers, BM; Joly, Y; Teschendorff, AE; Pashayan, N; FORECEE (4C) Consortium; (2018) Epigenome-based cancer risk prediction: rationale, opportunities and challenges. Nature reviews Clinical oncology. ISSN 1759-4774 DOI: https://doi.org/10.1038/nrclinonc.2018.30
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This list was generated on Fri Nov 16 14:02:26 2018 GMT.