Multiple imputation (MI) is a method for repairing and analyzing data with missing values. MI replaces values sample of random drawn from an model. The most popular form MI, which we call posterior draw multiple (PDMI), draws the parameters model Bayesian distribution. An alternative, maximum likelihood (MLMI), estimates using (or equivalent). Compared to PDMI, MLMI faster yields slightly more ...

Mendelian randomization studies use genotypes as instrumental variables to test for and estimate the causal effects of modifiable risk factors on outcomes. Two-stage residual inclusion (TSRI) estimators have been used when researchers are willing to make parametric assumptions. However, researchers are currently reporting uncorrected or heteroscedasticity-robust standard errors for these estima...

can physically modify the brain has intrigued scientists from the XVII century until the present day. The contention about individual differences between men with different cognitive ability related with differences in cerebral structures has prompted the design of a number of experiments (Rosenzweig, 1979) and whether animals exposed to enriched environments differ with respect to their behavi...

When fixating on a stationary object, the power of the eye's lens fluctuates. Studies have suggested that changes in these so-called microfluctuations in accommodation may be a factor in the onset and progression of short-sightedness. Like many physiological signals, the fluctuations in the power of the lens exhibit chaotic behaviour. A breakdown or reduction in chaos in physiological systems i...

The usual standard errors for the regression coe cients in a Seemingly Unrelated Regression model have a substantial downward bias. Bootstrapping the standard errors does not seem to improve inferences. In this paper Monte Carlo evidence is reported which indicates that bootstrapping can result in substantially better inferences when applied to t-ratios rather than to standard errors. 3

Cite this article: Ho JC, Pang Y, Luu MN (2015) Effect of Refractive Error and Anisometropia Magnitude on Amblyopia Treatment Outcome. JSM Ophthalmol 3(1): 1028. *Corresponding author Jamie C Ho, Ho Vision Group, 5300 Maryland Way, Suite 160, Brentwood Tennessee 37027, USA, Tel: 615-604-2949, Email: Submitted: 11 November 2014 Accepted: 31 January 2015 Published: 03 February 2015 ISSN: 2333-644...