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Best (but oft-forgotten) practices: sensitivity analyses in randomized controlled trials
analysis commentary sensitivity statistics tutorial
2018/11/23
Arandomized controlled clinical trial is the best way to minimize bias in ascertaining treatment effects, but the credibility of the results of a trial depends on the validity of the methods used to a...
Estimating treatment effect heterogeneity in randomized program evaluation
Causal inference individualized treatment rules LASSO moderation variable selection
2013/6/14
When evaluating the efficacy of social programs and medical treatments using randomized experiments, the estimated overall average causal effect alone is often of limited value and the researchers mus...
On the Complexity Analysis of Randomized Block-Coordinate Descent Methods
Randomized block-coordinate descent accelerated coordinate descent iteration complexity convergence rate composite minimization
2013/6/17
In this paper we analyze the randomized block-coordinate descent (RBCD) methods proposed in [8,11] for minimizing the sum of a smooth convex function and a block-separable convex function. In particul...
Respondent privacy and estimation efficiency in randomized response surveys for discrete-valued sensitive variables
Jeopardy measure numerical stigmatizing variable revealing probability
2013/4/28
In some socio-economic surveys, data are collected on sensitive or stigmatizing issues such as tax evasion, criminal conviction, drug use, etc. In such surveys, direct questioning of respondents is no...
Explaining temporal trends in annualized relapse rates in placebo groups of randomized controlled trials in relapsing multiple sclerosis: systematic review and meta-regression
multiple sclerosis relapses annualized relapse rates placebo baseline characteristics eligibility criteria meta-analysis meta-regression systematic review
2013/4/27
Background: Recent studies have shown a decrease in annualised relapse rates (ARRs) in placebo groups of randomised controlled trials (RCTs) in relapsing multiple sclerosis (RMS).
Methods: We conduc...
Iteration Complexity of Randomized Block-Coordinate Descent Methods for Minimizing a Composite Function
Block coordinate descent iteration complexity composite minimization
2011/7/19
In this paper we develop a randomized block-coordinate descent method for minimizing the sum of a smooth and a simple nonsmooth block-separable convex function and prove that it obtains an $\epsilon$-...
Efficient Online Learning via Randomized Rounding
Efficient Online Learning Randomized Rounding
2011/7/6
Most online algorithms used in machine learning today are based on variants of mirror descent or follow-the-leader.
Randomized algorithms for statistical image analysis and site percolation on square lattices
Image analysis signal detection percolation image reconstruction noisy image
2011/3/24
We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algorithm that allows to detect obje...
Princing European options on instruments with a constant dividend yield:The randomized discrete-time approach
Option pricing dividends randomization alternative models
2009/9/21
Due to the well-known fact that market returns are not
normally distributed, we use generalized hyperbolic distributions for
pricing options in a randomized discrete-time setup. The obtained
formul...
An Improved Estimation Procedure for Estimating the Proportion of a Population Possessing Sensitive Attribute in Unrelated Question Randomized Response Technique
Estimation Procedure Sensitive Attribute Randomized Response Technique
2009/9/17
An Improved Estimation Procedure for Estimating the Proportion of a Population Possessing Sensitive Attribute in Unrelated Question Randomized Response Technique。