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ROBIS: A new tool to assess risk of bias in systematic reviews was developed.

Journal of clinical epidemiology

Whiting P, Savović J, Higgins JP, Caldwell DM, Reeves BC, Shea B, Davies P, Kleijnen J, Churchill R.
PMID: 26092286
J Clin Epidemiol. 2016 Jan;69:225-34. doi: 10.1016/j.jclinepi.2015.06.005. Epub 2015 Jun 16.

OBJECTIVE: To develop ROBIS, a new tool for assessing the risk of bias in systematic reviews (rather than in primary studies).STUDY DESIGN AND SETTING: We used four-stage approach to develop ROBIS: define the scope, review the evidence base, hold...

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Whiting P, Savović J, Higgins JP, et al. ROBIS: A new tool to assess risk of bias in systematic reviews was developed. J Clin Epidemiol. 2015;69:225-34doi: 10.1016/j.jclinepi.2015.06.005.
Whiting, P., Savović, J., Higgins, J. P., Caldwell, D. M., Reeves, B. C., Shea, B., Davies, P., Kleijnen, J., Churchill, R. (2016). ROBIS: A new tool to assess risk of bias in systematic reviews was developed. Journal of clinical epidemiology, 69225-34. https://doi.org/10.1016/j.jclinepi.2015.06.005
Whiting, Penny, et al. "ROBIS: A new tool to assess risk of bias in systematic reviews was developed." Journal of clinical epidemiology vol. 69 (2016): 225-34. doi: https://doi.org/10.1016/j.jclinepi.2015.06.005
Whiting P, Savović J, Higgins JP, Caldwell DM, Reeves BC, Shea B, Davies P, Kleijnen J, Churchill R. ROBIS: A new tool to assess risk of bias in systematic reviews was developed. J Clin Epidemiol. 2016 Jan;69:225-34. doi: 10.1016/j.jclinepi.2015.06.005. Epub 2015 Jun 16. PMID: 26092286; PMCID: PMC4687950.
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Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges.

Statistical science : a review journal of the Institute of Mathematical Statistics

Villar SS, Bowden J, Wason J.
PMID: 27158186
Stat Sci. 2015;30(2):199-215. doi: 10.1214/14-STS504.

No abstract available.

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Villar SS, Bowden J, Wason J. Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges. Stat Sci. 2015;30(2):199-215doi: 10.1214/14-STS504.
Villar, S. S., Bowden, J., & Wason, J. (2015). Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges. Statistical science : a review journal of the Institute of Mathematical Statistics, 30(2), 199-215. https://doi.org/10.1214/14-STS504
Villar, Sofía S, et al. "Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges." Statistical science : a review journal of the Institute of Mathematical Statistics vol. 30,2 (2015): 199-215. doi: https://doi.org/10.1214/14-STS504
Villar SS, Bowden J, Wason J. Multi-armed Bandit Models for the Optimal Design of Clinical Trials: Benefits and Challenges. Stat Sci. 2015;30(2):199-215. doi: 10.1214/14-STS504. PMID: 27158186; PMCID: PMC4856206.
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Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique.

International journal of epidemiology

Hartwig FP, Davies NM, Hemani G, Davey Smith G.
PMID: 28338968
Int J Epidemiol. 2016 Dec 01;45(6):1717-1726. doi: 10.1093/ije/dyx028.

No abstract available.

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Hartwig FP, Davies NM, Hemani G, et al. Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique. Int J Epidemiol. 2016;45(6):1717-1726doi: 10.1093/ije/dyx028.
Hartwig, F. P., Davies, N. M., Hemani, G., & Davey Smith, G. (2016). Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique. International journal of epidemiology, 45(6), 1717-1726. https://doi.org/10.1093/ije/dyx028
Hartwig, Fernando Pires, et al. "Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique." International journal of epidemiology vol. 45,6 (2016): 1717-1726. doi: https://doi.org/10.1093/ije/dyx028
Hartwig FP, Davies NM, Hemani G, Davey Smith G. Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique. Int J Epidemiol. 2016 Dec 01;45(6):1717-1726. doi: 10.1093/ije/dyx028. PMID: 28338968; PMCID: PMC5722032.
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Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank.

International journal of epidemiology

Millard LAC, Davies NM, Gaunt TR, Davey Smith G, Tilling K.
PMID: 29040602
Int J Epidemiol. 2018 Feb;47(1):29-35. doi: 10.1093/ije/dyx204. Epub 2017 Oct 05.

MOTIVATION: Epidemiological cohorts typically contain a diverse set of phenotypes such that automation of phenome scans is non-trivial, because they require highly heterogeneous models. For this reason, phenome scans have to date tended to use a smaller homogeneous set...

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Millard LAC, Davies NM, Gaunt TR, et al. Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank. Int J Epidemiol. 2017;47(1):29-35doi: 10.1093/ije/dyx204.
Millard, L. A. C., Davies, N. M., Gaunt, T. R., Davey Smith, G., & Tilling, K. (2018). Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank. International journal of epidemiology, 47(1), 29-35. https://doi.org/10.1093/ije/dyx204
Millard, Louise A C, et al. "Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank." International journal of epidemiology vol. 47,1 (2018): 29-35. doi: https://doi.org/10.1093/ije/dyx204
Millard LAC, Davies NM, Gaunt TR, Davey Smith G, Tilling K. Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank. Int J Epidemiol. 2018 Feb;47(1):29-35. doi: 10.1093/ije/dyx204. Epub 2017 Oct 05. PMID: 29040602; PMCID: PMC5837456.
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Testing the validity of value-added measures of educational progress with genetic data.

British educational research journal

Morris TT, Davies NM, Dorling D, Richmond RC, Smith GD.
PMID: 30983649
Br Educ Res J. 2018 Oct;44(5):725-747. doi: 10.1002/berj.3466. Epub 2018 Sep 09.

Value-added measures of educational progress have been used by education researchers and policy-makers to assess the performance of teachers and schools, contributing to performance-related pay and position in school league tables. They are designed to control for all underlying...

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Morris TT, Davies NM, Dorling D, et al. Testing the validity of value-added measures of educational progress with genetic data. Br Educ Res J. 2018;44(5):725-747doi: 10.1002/berj.3466.
Morris, T. T., Davies, N. M., Dorling, D., Richmond, R. C., & Smith, G. D. (2018). Testing the validity of value-added measures of educational progress with genetic data. British educational research journal, 44(5), 725-747. https://doi.org/10.1002/berj.3466
Morris, Tim T, et al. "Testing the validity of value-added measures of educational progress with genetic data." British educational research journal vol. 44,5 (2018): 725-747. doi: https://doi.org/10.1002/berj.3466
Morris TT, Davies NM, Dorling D, Richmond RC, Smith GD. Testing the validity of value-added measures of educational progress with genetic data. Br Educ Res J. 2018 Oct;44(5):725-747. doi: 10.1002/berj.3466. Epub 2018 Sep 09. PMID: 30983649; PMCID: PMC6448053.
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Challenges and novel approaches for investigating molecular mediation.

Human molecular genetics

Richmond RC, Hemani G, Tilling K, Davey Smith G, Relton CL.
PMID: 27439390
Hum Mol Genet. 2016 Oct 01;25:R149-R156. doi: 10.1093/hmg/ddw197. Epub 2016 Jul 20.

Understanding mediation is useful for identifying intermediates lying between an exposure and an outcome which, when intervened upon, will block (some or all of) the causal pathway between the exposure and outcome. Mediation approaches used in conventional epidemiology have...

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Richmond RC, Hemani G, Tilling K, et al. Challenges and novel approaches for investigating molecular mediation. Hum Mol Genet. 2016;25:R149-R156doi: 10.1093/hmg/ddw197.
Richmond, R. C., Hemani, G., Tilling, K., Davey Smith, G., & Relton, C. L. (2016). Challenges and novel approaches for investigating molecular mediation. Human molecular genetics, 25R149-R156. https://doi.org/10.1093/hmg/ddw197
Richmond, R C, et al. "Challenges and novel approaches for investigating molecular mediation." Human molecular genetics vol. 25 (2016): R149-R156. doi: https://doi.org/10.1093/hmg/ddw197
Richmond RC, Hemani G, Tilling K, Davey Smith G, Relton CL. Challenges and novel approaches for investigating molecular mediation. Hum Mol Genet. 2016 Oct 01;25:R149-R156. doi: 10.1093/hmg/ddw197. Epub 2016 Jul 20. PMID: 27439390; PMCID: PMC5036871.
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A weak instrument [Formula: see text]-test in linear IV models with multiple endogenous variables.

Journal of econometrics

Sanderson E, Windmeijer F.
PMID: 29129953
J Econom. 2016 Feb;190(2):212-221. doi: 10.1016/j.jeconom.2015.06.004.

We consider testing for weak instruments in a model with multiple endogenous variables. Unlike Stock and Yogo (2005), who considered a weak instruments problem where the rank of the matrix of reduced form parameters is near zero, here we...

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Sanderson E, Windmeijer F. A weak instrument [Formula: see text]-test in linear IV models with multiple endogenous variables. J Econom. 2016;190(2):212-221doi: 10.1016/j.jeconom.2015.06.004.
Sanderson, E., & Windmeijer, F. (2016). A weak instrument [Formula: see text]-test in linear IV models with multiple endogenous variables. Journal of econometrics, 190(2), 212-221. https://doi.org/10.1016/j.jeconom.2015.06.004
Sanderson, Eleanor, and Windmeijer, Frank. "A weak instrument [Formula: see text]-test in linear IV models with multiple endogenous variables." Journal of econometrics vol. 190,2 (2016): 212-221. doi: https://doi.org/10.1016/j.jeconom.2015.06.004
Sanderson E, Windmeijer F. A weak instrument [Formula: see text]-test in linear IV models with multiple endogenous variables. J Econom. 2016 Feb;190(2):212-221. doi: 10.1016/j.jeconom.2015.06.004. PMID: 29129953; PMCID: PMC5669336.
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Showing 1 to 7 of 7 entries