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- Longitudinal Data Analysis and Time Series (1)
- Matter Power Function (1)
- Sequential randomized controlled trials; targeted maximum likelihood estimation; semi-parametric estimation; efficient estimation; dynamic treatment regimes; longitudinal methods (1)
- Shear Correlation Function (1)
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Articles 1 - 3 of 3
Full-Text Articles in Applied Statistics
Bailey/Howe Reference Analytics: What Two Years Of Data Tell Us, Elizabeth Berman
Bailey/Howe Reference Analytics: What Two Years Of Data Tell Us, Elizabeth Berman
UVM Libraries Conference Day
Analyzing the last two academic years (2010-2011 and 2011-2012) of reference-desk statistics, this presentation will highlight trends at the Bailey/Howe Reference Desk, and offer scenarios for the future of reference services.
The Implementation Of The Shear Correlation Function And The Matter Power Spectrum In R, Allison A. Scheppelmann, Deborah J. Bard
The Implementation Of The Shear Correlation Function And The Matter Power Spectrum In R, Allison A. Scheppelmann, Deborah J. Bard
STAR Program Research Presentations
Weak gravitational lensing is an important tool in understanding the large-scale structure of the universe. One component in understanding the effect of weak gravitational lensing is the shear correlation function and matter power spectrum. The calculation of these values is often complicated and time consuming. In order to decrease the cost of these calculations they were implemented in R using parallelization. This resulted in the calculations completing faster and the process to be easily changed in order to fit the need of each researcher using the algorithms created in R.
Targeted Maximum Likelihood Estimation For Dynamic Treatment Regimes In Sequential Randomized Controlled Trials, Paul Chaffee, Mark J. Van Der Laan
Targeted Maximum Likelihood Estimation For Dynamic Treatment Regimes In Sequential Randomized Controlled Trials, Paul Chaffee, Mark J. Van Der Laan
Paul H. Chaffee
Sequential Randomized Controlled Trials (SRCTs) are rapidly becoming essential tools in the search for optimized treatment regimes in ongoing treatment settings. Analyzing data for multiple time-point treatments with a view toward optimal treatment regimes is of interest in many types of afflictions: HIV infection, Attention Deficit Hyperactivity Disorder in children, leukemia, prostate cancer, renal failure, and many others. Methods for analyzing data from SRCTs exist but they are either inefficient or suffer from the drawbacks of estimating equation methodology. We describe an estimation procedure, targeted maximum likelihood estimation (TMLE), which has been fully developed and implemented in point treatment settings, …