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Personal profile

Research interests

I have broad interests in statistical methodology, particularly those with clinical or medical applications. My past research has focused on the development of methods for handling missing data and also for covariate measurement error. I have collaborated extensively in clinical research projects in dementia.

Fingerprint Dive into the research topics where Jonathan Bartlett is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Multiple Imputation Mathematics
Covariates Mathematics
Alzheimer Disease Medicine & Life Sciences
Atrophy Medicine & Life Sciences
Randomized Trial Mathematics
Specification Mathematics
Imputation Mathematics
Missing Covariates Mathematics

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Research Output 2006 2019

117 Downloads (Pure)

Choosing Estimands in Clinical Trials: Putting the ICH E9(R1) Into Practice

Ratitch, B., Bell, J., Mallinckrodt, C., Bartlett, J. W., Goel, N., Molenberghs, G., O'Kelly, M., Singh, P. & Lipkovich, I., 4 Apr 2019, In : Therapeutic Innovation & Regulatory Science. p. 1-18 18 p.

Research output: Contribution to journalArticle

Open Access
File
113 Downloads (Pure)

Defining Efficacy Estimands in Clinical Trials: Examples Illustrating ICH E9(R1) Guidelines

Ratitch, B., Goel, N., Mallinckrodt, C., Bell, J., Bartlett, J. W., Molenberghs, G., Singh, P., Lipkovich, I. & O'Kelly, M., 9 Apr 2019, In : Therapeutic Innovation & Regulatory Science. p. 1-15 15 p.

Research output: Contribution to journalArticle

Open Access
File
1 Citation (Scopus)
1 Downloads (Pure)

Exaggeration of PFS by blinded, independent, central review (BICR)

Stone, A., Gebski, V., Davidson, R., Bloomfield, R., Bartlett, J. W. & Sabin, A., 1 Feb 2019, In : Annals of Oncology. 30, 2, p. 332-338 7 p., mdy514.

Research output: Contribution to journalArticle

Open Access
File

Robustness of ANCOVA in randomized trials with unequal randomization

Bartlett, J. W., 13 Aug 2019, (Accepted/In press) In : Biometrics.

Research output: Contribution to journalArticle

5 Citations (Scopus)

Bayesian correction for covariate measurement error: A frequentist evaluation and comparison with regression calibration

Bartlett, J. W. & Keogh, R. H., 1 Jun 2018, In : Statistical Methods in Medical Research. 27, 6, p. 1695-1708 14 p., 27(6).

Research output: Contribution to journalArticle

Open Access
Regression Calibration
Bayes Theorem
Bayesian Approach
Measurement Error
Calibration