Tomohiro Shinozaki
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Causal diagrams: pitfalls and tips
E Suzuki, T Shinozaki, E Yamamoto
Journal of epidemiology 30 (4), 153-162, 2020
Re-evaluation of the comparative effectiveness of bootstrap-based optimism correction methods in the development of multivariable clinical prediction models
K Iba, T Shinozaki, K Maruo, H Noma
BMC Medical Research Methodology 21 (1), 1-14, 2021
A comparison of estimators from self-controlled case series, case-crossover design, and sequence symmetry analysis for pharmacoepidemiological studies
Y Takeuchi, T Shinozaki, Y Matsuyama
BMC medical research methodology 18 (1), 4, 2018
Understanding marginal structural models for time-varying exposures: pitfalls and tips
T Shinozaki, E Suzuki
Journal of epidemiology 30 (9), 377-389, 2020
Introduction to Matching in Case-Control and Cohort Studies
M Iwagami, T Shinozaki
Annals of Clinical Epidemiology 4 (2), 33-40, 2022
Confidence intervals of prediction accuracy measures for multivariable prediction models based on the bootstrap‐based optimism correction methods
H Noma, T Shinozaki, K Iba, S Teramukai, TA Furukawa
Statistics in Medicine 40 (26), 5691-5701, 2021
Brief report: doubly robust estimation of standardized risk difference and ratio in the exposed population
T Shinozaki, Y Matsuyama
Epidemiology 26 (6), 873-877, 2015
Population attributable fraction in textbooks: Time to revise
A Khosravi, M Nazemipour, T Shinozaki, MA Mansournia
Global Epidemiology 3, 100062, 2021
On hazard ratio estimators by proportional hazards models in matched-pair cohort studies
T Shinozaki, MA Mansournia, Y Matsuyama
Emerging themes in epidemiology 14, 1-14, 2017
Effective prevention of cardiovascular disease and diabetes‐related events with atorvastatin in Japanese elderly patients with type 2 diabetes mellitus: Adjusting for treatment …
T Shinozaki, Y Matsuyama, S Iimuro, H Umegaki, T Sakurai, A Araki, ...
Geriatrics & gerontology international 12, 88-102, 2012
Misuse of Regression Adjustment for Additional Confounders Following Insufficient Propensity Score Balancing
T Shinozaki, M Nojima
Epidemiology 30 (4), 541-548, 2019
Analyzing intent-to-treat and per-protocol effects on safety outcomes using a medical information database: an application to the risk assessment of antibiotic-induced liver injury
Y Takeuchi, T Shinozaki, H Kumamaru, T Hiramatsu, Y Matsuyama
Expert opinion on drug safety 17 (11), 1071-1079, 2018
Estimation of controlled direct effects in time‐varying treatments using structural nested mean models: application to a primary prevention trial for coronary events with …
T Shinozaki, Y Matsuyama, Y Ohashi
Statistics in medicine 33 (18), 3214-3228, 2014
G‐estimation of structural nested restricted mean time lost models to estimate effects of time‐varying treatments on a failure time outcome
Y Hagiwara, T Shinozaki, Y Matsuyama
Biometrics 76 (3), 799-810, 2020
Mediational g-formula for time-varying treatment and repeated-measured multiple mediators: Application to atorvastatin's effect on cardiovascular disease via cholesterol …
S Yamamuro, T Shinozaki, S Iimuro, Y Matsuyama
Statistical methods in medical research, 2021
Sensitivity analysis for subsequent treatments in confirmatory oncology clinical trials: A two-stage stochastic dynamic treatment regime approach.
Y Hagiwara, T Shinozaki, H Mukai, Y Matsuyama
Biometrics 77 (2), 702-714, 2021
Hazard ratio estimators after terminating observation within matched pairs in sibling and propensity score matched designs
T Shinozaki, MA Mansournia
The International Journal of Biostatistics 15 (1), 20170103, 2019
Re: Biases in Randomized Trials A Conversation Between Trialists and Epidemiologists
T Shinozaki, Y Hagiwara, Y Matsuyama
Epidemiology 28 (4), e40-e41, 2017
Bias amplification in the g-computation algorithm for time-varying treatments: a case study of industry payments and prescription of opioid products
K Inoue, A Goto, N Kondo, T Shinozaki
BMC Medical Research Methodology 22 (1), 1-10, 2022
Analysis on Real-World Data: An Overview
T Shinozaki, Y Matsuyama
Epidemiologic Research on Real-World Medical Data in Japan 2, 77-88, 2022
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