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Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Statistical Genetic Studies
2011/3/21
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Statistical Genetic Studies
2011/3/21
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Rejoinder: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Genetic Studies Missing Information Hypothesis Testing
2011/3/23
Rejoinder to "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Genetic Studies Missing Information Hypothesis Testing
2011/3/23
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Comment: Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
Quantifying Genetic Studies Missing Information Hypothesis Testing
2011/3/23
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Comment: Quantifying Information Loss in Survival Studies
Comment Survival Quantifying Information Loss in Survival
2011/3/23
Comment on "Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies" [arXiv:1102.2774]
Quantifying the Fraction of Missing Information for Hypothesis Testing in Statistical and Genetic Studies
EM algorithm entropy Fisher information genetic linkage studies haplotype-based association studies
2011/3/21
Many practical studies rely on hypothesis testing procedures applied to data sets with missing information. An important part of the analysis is to determine the impact of the missing data on the perf...
A semiparametric efficient estimator in case-control studies
case-control study gene-environment interaction logistic regression
2010/10/19
We construct a semiparametric estimator in case-control studies where the gene and the environment are assumed to be independent. A discrete or continuous parametric distribution of the genes is assum...
An integrative analysis of cancer gene expression studies using Bayesian latent factor modeling
micro-environmental parameters in cancer Weibull survival models
2010/10/19
We present an applied study in cancer genomics for integrating data and inferences from laboratory experiments on cancer cell lines with observational data obtained from human breast cancer studies. T...
A model selection approach to genome wide association studies
Genome wide association Multiple testing Linear regression,
2010/10/14
For the vast majority of genome wide association studies (GWAS) published so far, statistical analysis was performed by testing markers individually. In this article we present some elementary statis...
Numerical studies of the metamodel fitting and validation processes
Gaussian process discrepancy optimal design Latin hypercubesampling computer experiment
2010/3/9
Complex computer codes, for instance simulating physical phenomena,
are often too time expensive to be directly used to perform uncertainty,
sensitivity, optimization and robustness analyses. A wide...
Superpopulations Models and Stratification in Diagnostic Ability Studies
Superpopulations Models Stratification Diagnostic Ability Studies
2009/9/17
Superpopulations Models and Stratification in Diagnostic Ability Studies。
Causal inference in longitudinal studies with history-restricted marginal structural models
causal inference counterfactual marginal structural model longitudinal study IPTW G-computation Double Robust
2009/9/16
A new class of Marginal Structural Models (MSMs), History-Restricted MSMs (HRMSMs), was recently introduced for longitudinal data for the purpose of defining causal parameters which may often be bette...
Timescale effect estimation in time-series studies of air pollution and health: A Singular Spectrum Analysis approach
Airborne particulate matter PM10 Singular Spectrum Analysis - SSA Generalized additive models - GAM
2009/9/16
A wealth of epidemiological data suggests an association between mortality/morbidity from pulmonary and cardiovascular adverse events and air pollution, but uncertainty remains as to the extent implie...
Incorporating patients’ characteristics in cost-effectiveness studies with clinical trial data：a flexible Bayesian approach
Bayesian analysis cost-effectiveness Markov Chain Monte Carlo （MCMC） skewed cost distributions
2009/2/23
Most published research on the comparison between medical treatment options merely compares the
results (effectiveness and cost) obtained for each treatment group. The present work proposes the incor...