DOCSLIB.ORG
Explore
Sign Up
Log In
Upload
Search
Home
» Tags
» Matching (statistics)
Matching (statistics)
Statistical Matching: a Paradigm for Assessing the Uncertainty in the Procedure
A Machine Learning Approach to Census Record Linking∗
Stability and Median Rationalizability for Aggregate Matchings
Report on Exact and Statistical Matching Techniques
13. Matching
Alternatives to Randomized Control Trials: a Review of Three Quasi-Experimental Designs for Causal Inference
Matching Via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns
Frequency Matching Case-Control Techniques: an Epidemiological Perspective
Package 'Matching'
A Comparison of Different Methods to Handle Missing Data in the Context of Propensity Score Analysis
Performance of Logistic Regression, Propensity Scores, and Instrumental Variable for Estimating Their True Target Odds Ratios In
An Empirical Evaluation of Statistical Matching Methodologies
The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insuranc
Understanding the Generalized Median Stable Matchings∗
Matching Methods for Causal Inference: Designing Observational Studies
Propensity Scores One Application of Logistic Regression Is the Propensity
Matching with Propensity Scores to Reduce Bias in Observational Studies Marcelo Coca-Perraillon, Adheris Inc., Burlington, MA
Randomized Controlled Trials: the Basics
Top View
STAT 5500/6500 Conditional Logistic Regression for Matched Pairs The
Cross-Validation of Matching Correlation Analysis by Resampling Matching Weights
Error and Inference
Matchthem:: Matching and Weighting After Multiple Imputation Farhad Pishgar A, Noah Greifer B, Clémence Leyrat C, Elizabeth
Propensity Score Methods for Bias Reduction in the Comparison of a Treatment to a Non-Randomized Control Group
A New Approach for Shape Recognition of Color Image Using PCA C.Senthilkumar, Dr.S.Pannirselvam
Statistical Matching: Experimental Results and Future Research Questions
Evaluation of Sampling and Cross-Validation Tuning Strategies for Regional-Scale Machine Learning Classification
A Theory of Statistical Inference for Matching Methods in Causal Research∗
Matching As Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
Matchit: Nonparametric Preprocessing for Parametric Causal Inference
Matching Versus Regression in Observational Studies
Multiple-Source Cross-Validation
Matching State Business Registration Records to Census Business Data
Logistic Regression for Matched Pairs Data
Propensity Scores and Missing Data 28 March 2019
Matching of Census and Administrative Data for Census Data Quality Assurance in the 2011 Census of England and Wales
Propensity Score Matching
Matching Patterns from Historical Data Using PCA and Distance Similarity Factors
Randomized Controlled Trials (Rcts)
Matching on the Estimated Propensity Score
Some Practical Guidance for the Implementation of Propensity Score Matching
Lecture 26: Conditional Logistic Models for Matched Pairs
Biostatistical Methods for Translational & Clinical Research
Matching Methods for Causal Inference: a Review and a Look Forward
Missing-Data Imputation
Matching Methods for Causal Inference: a Review and a Look Forward
Statistical Matching and Imputation of Survey Data with Statmatch*
Conditional Logistic Regression Statistical Methods Based on the Henian Chen, M.D., Ph.D
Record Linkage: a Missing Data Problem Harvey Goldstein1,2 and Katie Harron1
Dealing with Missing Data: Key Assumptions and Methods for Applied Analysis
PROPENSITY SCORE-MATCHING METHODS for NONEXPERIMENTAL CAUSAL STUDIES Rajeev H
Randomized Experiments Vs. Propensity Scores Matching: a Meta-Analysis
Propensity Score Matching
Causal Inference and Missing Data
Missing Data in Propensity Score Analysis
How to Use Propensity Score Analysis
Statistical Matching: a Model Based Approach for Data Integration
Using a Model Matching Method for Rolling Bearing Fault Determination
208-29: an Introduction to Matching and Its Application Using the SAS
Lecture Data Science
Some Methods for Handling Missing Values in Outcome Variables
A Maximum B-Matching Problem Arising from Median Location Models with Applications to the Roommates Problem
Object Recognition System Using Template Matching Based on Signature and Principal Component Analysis
Matched-Comparison Group Design: an Evaluation Brief for Educational Stakeholders White Paper
Face Recognition Using Principle Component Analysis
Propensity Score Matching and Beyond
On the Use of K-Fold Cross-Validation to Choose Cutoff Values and Assess the Performance of Predictive Models in Stepwise Regression
Charting Outcomes in the Match: US Allopathic Seniors
Statistical Matching: a New Validation Case Study Deborah D
Median Stable Matchings in Two-Sided Markets
Median Stable Matching for College Admissions∗
Using Statistical Models in Place of Clerical Matching in the Census 2020 Post-Enumeration Survey to Produce Estimates of Census Housing Unit Coverage
A Brief Guide to Decisions at Each Step of the Propensity Score Matching Process
Methods for Handling Missing Values
Use of Matching Methods for Causal Inference in Experimental and Observational Studies
Propensity Score-Matching Methods for Nonexperimental Causal Studies 153
7. Conditional Logistic Regression for Matched Sets
Why Propensity Scores Should Not Be Used for Matching∗
Learning Management Through Matching: a Field Experiment Using Mechanism Design∗