• 不 限
  • 期刊论文
  • 硕博论文
  • 会议论文
  • 报 纸
  • 英文论文
  2. 您的位置
  3. 首页
  4. 会议论文
  5. No unmeasured and correctly modelled effect modifiers - implications for confounding control in caus

No unmeasured and correctly modelled effect modifiers - implications for confounding control in caus

来源 :上海交通大学 | 被引量 : 0次 | 上传用户：cslml1977
【摘 要】
：
Confounding and effect modification are both central,yet often strictly distinguished concepts in epidemiology [Miettinen,1974].In the evolving causal inference literature,integral discussions on thes
【作 者】
：
Tibor Schuster Margarita Moreno-Betancur 
【机 构】
：
Department of Family Medicine,McGill University,5858 C(o)te-des-Neiges,Montreal QC,H3S 1Z1 Canada
【出 处】
：
上海交通大学
【发表日期】
：
2016年4期
【关键词】
：
causal inference confounding effect modification positivity violation inverse pr 
下载到本地 , 更方便阅读
下载此文 赞助VIP
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
　　Confounding and effect modification are both central,yet often strictly distinguished concepts in epidemiology [Miettinen,1974].In the evolving causal inference literature,integral discussions on these concepts have focused on how they both may be defined in terms of either the distribution of potential outcomes or of specific effect measures [VanderWeele,2012].
其他文献
Planning Sample Size Using MMRM in Confirmatory Trials
When planning sample size in confirmatory trials,the sample size is estimated from hypothesized effect size of the underlying study treatment.In order to account for potential dropout during the study
会议
MMRMsample sizestudy designmissing data
SOME SPATIO-TEMPORAL MODELLING PROBLEMS AND RECENT ADVANCES
Spatio-temporal modelling is a must in research in many fields of science and social science.It is always a challenge to model spatio-temporal data,since they vary over space and time,and usually have
会议
Spatio-temporal modellingspatio-temporal interactionmissing observationsBayes
USING LOGISTIC REGRESSION TO PREDICT UNDERAGE ALCOHOL CONSUMPTION BY SECONDARY SCHOOL STUDENTS
In this study,we approach the major problem of underage alcohol consumption by secondary school students through statistics.Underage drinking is when anyone under the minimum age of 21 drinks alcohol.
会议
logistic regressionclassificationgradient ascentoptimizationdata mining
A SYSTEMATIC PROCEDURE FOR SQUARE RANDOM LATTICE SAMPLING
The selection procedure,in which probability of selection for each unit of the population into the sample is same,almost fails to achieve the goals of a specified sampling theory.The selection procedu
会议
Controlled SamplingLatin SquaresLattice SamplingRelative PrecisionSimple Ran
Weighted Statistic in Detecting Faint and Sparse Alternatives for High-dimensional Covariance Matric
This paper considers testing equality of two population covariance matrices when the data dimension p diverges with the sample size n(p/n→c>0).We propose a weighted test statistic which is data-driven
会议
Linear Spectral StatisticLarge random matrix theoryStieltjes transformFaint a
High Dimensional Correlation Matrices:CLT and Its Applications
Statistical inferences for sample correlation matrices are important in high dimensional data analysis.Motivated by this,this paper establishes a new central limit theorem(CLT)for a linear spectral st
会议
Central limit theoremequivalence testhigh dimensional correlation matrixindep
Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Appl
Missing data are frequently encountered in longitudinal clinical trials.To better monitor and understand the progress over time,we must handle the missing data appropriately and thus determine whether
会议
Probit ModelLatent VariableJeffrey's PriorIdentifiabilityDIC and LPML
Definitive Screening Design:An Important Class of Circulant-Type Design
Jones and Nachtsheim(2011)proposed a new class of three-level screening designs called Definitive Screening(DS)designs,and it received much attention due to its appealing statistical properties.This w
会议
Definitive Screening DesignsConference MatricesHadamard MatricesGeneral Suppl
Tuning Parameter Selection in Cox Proportional Hazards Model with a Diverging Number of Parameters
Regularized variable selection is a powerful tool for identifying the true regression model from a pool of candidates by applying penalties to the objective functions.The penalty functions involve a t
会议
Cox Proportional Hazards ModelDiverging Number of ParameterOracle PropertyTun
An MM Algorithm for the Split-Feasibility Problem
In the split feasibility problem,one is given a smooth function h(x): Rp→ Rq and two closed convex sets C(C)Rp and Q(C)Rq.One is then asked to find a point x∈Rp simultaneously satisfying x ∈ C and h(x
会议
Numerical OptimizationMajorization-MinimizationMulti-Set Feasibility ProblemI