Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
- Qingyuan Zhao, Jingshu Wang, G. Hemani, J. Bowden, D. Small
- Mathematics, Computer ScienceAnnals of Statistics
- 29 January 2018
This paper studies statistical inference in the increasingly popular two-sample summary-data Mendelian randomization, finding strong evidence of both systematic and idiosyncratic pleiotropy in MR, echoing some recent discoveries in statistical genetics.
Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization
- Hyunseung Kang, Anru R. Zhang, T. T. Cai, D. Small
- Mathematics
- 22 January 2014
A fast penalized ℓ1 estimation method, called sisVIVE, is introduced for estimating the causal effect without knowing which instruments are valid, with theoretical guarantees on its performance.
A review of instrumental variable estimators for Mendelian randomization
- S. Burgess, D. Small, S. Thompson
- Economics, MathematicsStatistical Methods in Medical Research
- 17 August 2015
Settings particularly relevant to Mendelian randomization are prioritized in the paper, notably the scenario of a continuous exposure and a continuous or binary outcome.
Non‐parametric methods for doubly robust estimation of continuous treatment effects
- Edward H. Kennedy, Zongming Ma, M. McHugh, D. Small
- Mathematics, EconomicsJournal of The Royal Statistical Society Series B…
- 2 July 2015
A novel kernel smoothing approach is developed that requires only mild smoothness assumptions on the effect curve, and still allows for misspecification of either the treatment density or outcome regression.
Building a Stronger Instrument in an Observational Study of Perinatal Care for Premature Infants
- M. Baiocchi, D. Small, S. Lorch, P. Rosenbaum
- Economics
- 1 December 2010
An instrument is a random nudge toward acceptance of a treatment that affects outcomes only to the extent that it affects acceptance of the treatment. Nonetheless, in settings in which treatment…
Marginal regression analysis of longitudinal data with time‐dependent covariates: a generalized method‐of‐moments approach
Summary. We develop a new approach to using estimating equations to estimate marginal regression models for longitudinal data with time‐dependent covariates. Our approach classifies time‐dependent…
Hospitals with higher nurse staffing had lower odds of readmissions penalties than hospitals with lower staffing.
Investing in nursing is a potential system-level intervention to reduce readmissions that policy makers and hospital administrators should consider in the new regulatory environment as they examine the quality of care delivered to US hospital patients.
Confidence intervals for causal effects with invalid instruments by using two‐stage hard thresholding with voting
- Zijian Guo, Hyunseung Kang, T. Tony Cai, D. Small
- Economics
- 16 March 2016
A major challenge in instrumental variable (IV) analysis is to find instruments that are valid, or have no direct effect on the outcome and are ignorable. Typically one is unsure whether all of the…
Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap
- Qingyuan Zhao, D. Small, B. Bhattacharya
- Mathematics, EconomicsJournal of the Royal Statistical Society: Series…
- 30 November 2017
To identify the estimand in missing data problems and observational studies, it is common to base the statistical estimation on the ‘missingness at random’ and ‘no unmeasured confounder’ assumptions.…
Asthma Numeracy Skill and Health Literacy
- A. Apter, Jing Cheng, Simone Van Horne
- MedicineJournal of Asthma
- 1 January 2006
Understanding of numerical concepts in asthma self-management instructions, a 4-item Asthma Numeracy Questionnaire (ANQ) was developed and read to 73 adults with persistent asthma and low numeracy but not STOFHLA score was associated with a history of hospitalization for asthma.
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