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1 Matching methods for causal inference: A review and a look ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2943670/
Matching methods are commonly used in two types of settings. The first is one in which the outcome values are not yet available and matching is used to select ...
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2 Matching (statistics) - Wikipedia
https://en.wikipedia.org/wiki/Matching_(statistics)
Matching is a statistical technique which is used to evaluate the effect of a treatment by comparing the treated and the non-treated units in an ...
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3 Getting Started with Matching Methods
https://data.library.virginia.edu/getting-started-with-matching-methods/
To work around these issues researchers often employ what are called “matching methods”. This involves taking observational data, ...
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4 Matching Methods - R Project
https://cran.r-project.org/web/packages/MatchIt/vignettes/matching-methods.html
Cardinality and template matching are pure subset selection methods that involve selecting a subset of the original sample without considering ...
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5 Chapter 28 Matching Methods | A Guide on Data Analysis
https://bookdown.org/mike/data_analysis/matching-methods.html
28 Matching Methods · cem Coarsened exact matching · Matching Multivariate and propensity score matching with balance optimization · MatchIt Nonparametric ...
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6 16. Matching Methods - YouTube
https://www.youtube.com/watch?v=tvMyjDi4dyg
Aug 16, 2020
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7 Matching Methods for Causal Inference: A Review and ... - arXiv
https://arxiv.org/pdf/1010.5586
Matching methods are gaining popularity in fields such as economics, epidemiology, medicine and ... published by the Institute of Mathematical Statistics in.
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8 Matching - Dimewiki - World Bank
https://dimewiki.worldbank.org/Matching
Matching is a quasi-experimental method in which the researcher uses statistical techniques to construct an artificial control group by matching each ...
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9 Overview of matching - Matching and Propensity Scores
https://www.coursera.org/lecture/crash-course-in-causality/overview-of-matching-JQfPC
An overview of matching methods for estimating causal effects is presented ... are necessary for each type of statistical method So join us.... and discover ...
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10 Matching Methods for Causal Inference: A Machine Learning ...
https://humboldt-wi.github.io/blog/research/applied_predictive_modeling_19/matching_methods/
It is the discretion of the analyst to determine if only one control should be matched to each treated, or if multiple control units should be ...
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11 A Theory of Statistical Inference for Matching Methods in ...
https://gking.harvard.edu/files/gking/files/multi.pdf
Yet, all theories of inference proposed to justify matching methods are based ... Stratification is a well-known technique in statistics.
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12 Matching Methods in Practice: Three Examples
https://docs.iza.org/dp8049.pdf
This set up has been studied extensively in the statistics and econometric litera- tures. For reviews and general discussions in the econometrics literature see ...
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13 Matching Methods for Causal Inference: A ... - Project Euclid
https://projecteuclid.org/euclid.ss/1280841730
Matching methods are gaining popularity in fields such as economics, epidemiology, medicine and political science. However, until now the literature and related ...
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14 Matching Methods in Practice: Three Examples
http://jhr.uwpress.org/content/50/2/373.refs
2004. “Finite Sample Properties of Propensity-Score Matching and Weighting Estimators.” Review of Economics and Statistics 86(1): ...
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15 1 Statistical Matching with Time-Series Cross-Sectional Data
http://www.mit.edu/~rnielsen/tscsmatching.pdf
A matching algorithm is the procedure for constructing a matched sample. Matching algorithms typically identify similar treatment and control units and match ...
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16 Matching Methods for Causal Inference - jstor
https://www.jstor.org/stable/41058994
Institute of Mathematical Statistics, 2010. Matching Methods for Causal Inference: A Review and a Look Forward. Elizabeth A. Stuart. Abstract.
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17 An Ultimate Guide to Matching and Propensity Score Matching
https://towardsdatascience.com/an-ultimate-guide-to-matching-and-propensity-score-matching-644395c46616
Matching is a statistical process that tries to pair treatment subjects to control subjects based on key observed covariates. Matching is ...
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18 An Empirical Evaluation of Statistical Matching Methodologies
https://scholar.smu.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1180&context=business_workingpapers
Statistics for the Matched Y-Z Samples: Methods 1-6 ... of statistical file matching, highlighting the techniques in current use.
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19 Accuracy in the Application of Statistical Matching Methods for ...
https://academic.oup.com/jssam/article-abstract/8/5/990/5566334
Statistical matching is a technique to combine variables in two or more nonoverlapping samples that are drawn from the same population. In the ...
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20 (PDF) Matching Methods in Practice: Three Examples
https://www.researchgate.net/publication/281951546_Matching_Methods_in_Practice_Three_Examples
Matching estimators constitute a class of non- and semi-parametric techniques for estimating causal effects in observational studies. Like ...
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21 Data integration using statistical matching techniques: A review
https://content.iospress.com/articles/statistical-journal-of-the-iaos/sji210835
The convenient method of data integration is determined according to the nature of the input data. SDI has two main methods, Record Linkage (RL) ...
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22 Oversampling and replacement strategies in propensity score ...
https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-021-01454-z
Propensity score matching is a statistical method that is often used to make inferences on the treatment effects in observational studies.
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23 Modern Algorithms for Matching in Observational Studies
https://www.annualreviews.org/doi/abs/10.1146/annurev-statistics-031219-041058
Matching tools are reviewed, including propensity scores, covariate distances, ... Statistical Methods for Extreme Event Attribution in Climate Science.
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24 Statistical Matching: A Paradigm for Assessing the Uncertainty ...
https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/statistical-matching-a-paradigm-for-assessing-the-uncertainty-in-the-procedure.pdf
Journal of Official Statistics, Vol. 17, No. 3, 2001, pp. 407±422. Statistical Matching: A Paradigm for Assessing the. Uncertainty in the Procedure.
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25 Matching methods for observational studies derived from large ...
https://statistics.stanford.edu/events/matching-methods-observational-studies-derived-large-administrative-databases
As such, causal effects are often studied with non-randomized observational studies. Matching for observational studies is a common approach to ...
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26 Matching - SAGE Research Methods
https://methods.sagepub.com/reference/encyc-of-research-design/n231.xml
In applications, matching is commonly used as a preliminary step in the construction of a matched sample, that is, a sample of observations that are similar in ...
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27 Multivariate and Propensity Score Matching Software with ...
https://sekhon.berkeley.edu/papers/MatchingJSS.pdf
Matching has become an increasingly popular method of causal inference in many fields including statistics (Rubin 2006; Rosenbaum 2002), medicine (Christakis ...
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28 Statistical matching: Use of auxiliary information as an ...
https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X199300114475
In this report, methods of statistical matching corresponding to three methods of imputation, namely, regression, hot deck, and log linear, with and without ...
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29 Report on Exact and Statistical Matching Techniques
https://www.fcsm.gov/assets/files/docs/spwp5.pdf
Matching Techniques. Daniel B. Radner, Chairperson. Office of Research and Statistics, Social Security Administration. Department of Health and Human ...
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30 Statistical Matching and Imputation of Survey Data with ...
https://mran.revolutionanalytics.com/snapshot/2020-04-25/web/packages/StatMatch/vignettes/Statistical_Matching_with_StatMatch.pdf
Statistical matching techniques aim at integrating two or more data sources (usually data from sample surveys) referred to the same target population.
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31 Using Cardinality Matching to Design Balanced and ...
https://jamanetwork.com/journals/jama/fullarticle/2787922
This JAMA Guide to Statistics and Methods discusses cardinality matching, a method for finding the largest possible number of matched pairs ...
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32 Propensity score matching methods for non-experimental ...
https://academiccommons.columbia.edu/doi/10.7916/D85B0DNH/download
Holland, Paul W., “Statistics and Causal Inference,” Journal of the American Statistical. Association, 81 (396) (December 1986), 945-960. Hollister, Robinson, ...
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33 matching in the estimation and analysis of the size distribution ...
https://www.ssa.gov/policy/docs/workingpapers/wp18.pdf
A brief summary of the types of statistical matching methods which have been used is also presented. Then a recent example of statistical matching carried ...
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34 Propensity Score Matching: Definition & Overview
https://www.statisticshowto.com/propensity-score-matching/
Matching methods for bipartite matching designs consist of two parts: a matching ratio and a matching algorithm. The matching ratio can be one-to-one (one from ...
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35 Propensity scores and matching methods. - APA PsycNet
https://psycnet.apa.org/record/2019-07124-028
Cochran, W. G., Rubin, D. B. (1973). Controlling bias in observational studies: A review. Sankhya: The Indian Journal of Statistics, Series A, 417-446. Crump, ...
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36 Using Sampling Matching Methods to Remove Selectivity in ...
https://www.universiteitleiden.nl/binaries/content/assets/science/mi/scripties/statscience/2018-2019/final-version_thesis_han-zheng.pdf
During the computation of the statistics, the weights are used to estimate the population statistics. 3.3 Exact Matching on Categorical Variables. Suppose ...
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37 Propensity Score Matching in Observational Studies Author
http://mchp-appserv.cpe.umanitoba.ca/supp/mchp/protocol/media/propensity_score_matching.pdf
He later developed the difference-in- differences approach which has applications to PSM. Statistical Definition. The estimated propensity score ( )i. e x , for ...
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38 Statistical Matching | SpringerLink
https://link.springer.com/book/10.1007/978-1-4613-0053-3
Data fusion or statistical file matching techniques merge data sets from different survey samples to solve the problem that exists when no single file ...
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39 Matching Statistics - SAS Help Center
https://documentation.sas.com/doc/en/statug/14.2/statug_psmatch_details11.htm
The PSMATCH procedure provides the following types of statistic on which to match observations in the treated group with observations in the control group ...
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40 Using balance statistics to determine the optimal number of ...
http://lindenconsulting.org/documents/Opticon_Article.pdf
trols, from 1 to k, a matching algorithm creates a matched data set with up to the specified number of controls per case and generates balance statistics ...
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41 Report on Exact and Statistical Matching Techniques
https://nces.ed.gov/fcsm/pdf/spwp5.pdf
may be appropriate to use statistical matching techniques. The recommendations of the report also include suggestions for further research.
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42 Evaluation of Subset Matching Methods and Forms of ...
http://www.jrzubizarreta.com/evaluation.pdf
test statistics, is better with cardinality matching since by ... methods; (iii) in terms of covariate distances, optimal subset matching performs best; ...
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43 Statistical matching using propensity scores - EconStor
https://www.econstor.eu/bitstream/10419/31492/1/571725082.pdf
Challenges facing the use of this technique, such as the distribution of weights, are discussed in the conclusion. Keywords: Statistical Matching; Survey of ...
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44 Statistical matching techniques in order to plan interventions ...
https://www.sciencedirect.com/science/article/abs/pii/S0038012119300254
In this work, we describe a useful model to integrate data between two surveys (Eurostat EU-SILC and Lifestyles survey) through a Statistical Matching method ( ...
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45 Propensity Score Matching: A Statistical Method
https://journals.lww.com/jspinaldisorders/fulltext/2020/04000/propensity_score_matching__a_statistical_method.8.aspx
Propensity score matching (PSM) is a commonly used statistical method in orthopedic surgery research that accomplishes the removal of confounding bias from ...
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46 PROPENSITY SCORE-MATCHING METHODS FOR ...
https://users.nber.org/~rdehejia/papers/matching.pdf
outcome in the untreated state must be independent of the treatment assignment. The Review of Economics and Statistics, February 2002, 84(1): 151–161. ' 2002 by ...
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47 A Comparative Study of Exact Versus Propensity Matching ...
https://scholarworks.wmich.edu/cgi/viewcontent.cgi?article=1150&context=dissertations
employing a propensity-based or exact matching procedure in quasi-experimental ... The Null Case: t-tests Statistics for Mixed Covariates by Matching Method.
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48 A Brief Guide to Decisions at Each Step of the Propensity ...
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1340&context=pare
Propensity score matching techniques are becoming increasingly common as they afford applied ... (D'Agostino, 1998; Rubin, 2004), statistics (Rosenbaum,.
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49 Introduction to Matching
http://propensityscoreanalysis.pbworks.com/f/Viola_Match_Final.pdf
statistics.1 Matching works for experimental data, but is usually used for ... Matching methods based on the propensity score, Mahalanobis distance, or.
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50 Matching methods in precision oncology: An introduction and ...
https://onlinelibrary.wiley.com/doi/10.1002/mgg3.1554
Once satisfied with the level of overlap across groups, researchers must decide on a matching method and algorithm. Common methods include ...
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51 Propensity score matching with R: conventional methods and ...
https://atm.amegroups.com/article/view/61857/html
Several articles and books have expounded upon propensity scores in detail, exploring statistical principles and theories; however, the lack of explanations on ...
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52 (Mis)use of matching techniques - Stata
https://www.stata.com/meeting/poland17/slides/poland17_Strawinski.pdf
Matching is statistical technique that allows to transform non-randomised data to randomised one. Paweł Strawiński. (Mis)use of matching techniques ...
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53 The Efficacy of Propensity Score Matching in Bias Reduction ...
https://kuscholarworks.ku.edu/bitstream/handle/1808/21672/Howarter_ku_0099D_14389_DATA_1.pdf?sequence=1
Propensity score analysis is a family of statistical techniques that utilizes propensity scores for causal inference when randomization is not feasible and ...
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54 Statistical matching methods (propensity score vs distance ...
https://www.reddit.com/r/AskStatistics/comments/f8qt4q/statistical_matching_methods_propensity_score_vs/
Hi! I'm getting familiar with different statistical matching methods but I don't have the knowledge of deciding which one is the best to use ...
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55 Matching methods for causal inference: Designing ...
https://www.biostat.jhsph.edu/~estuart/StuRub_MatchingChapter_07.pdf
Since the initial work in matching methods, which was primarily in sociology and statistics, matching methods have been growing in ...
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56 Optimizing matching and analysis combinations for estimating ...
https://www.nature.com/articles/srep23222
Matching is a common approach to address confounding, particularly in studies that utilize observational data. Matching methods estimate the ...
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57 2000: Statistical Matching: A New Validation Case Study
http://www.asasrms.org/Proceedings/papers/2000_126.pdf
statistical matching methods: unconstrained matching and constrained matching: ... method because it is intuitive, relatively simple to.
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58 Comparative Effectiveness of Matching Methods for Causal ...
https://www.semanticscholar.org/paper/Comparative-Effectiveness-of-Matching-Methods-for-King-Nielsen/28a36d8a6c7bd39b8ac6f96b6fc3537c267bffc3
This work offers a simple graphical approach that addresses both criteria simultaneously and lets the user choose a matching solution from the ...
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59 Propensity Score-Matching Methods For Nonexperimental ...
https://econpapers.repec.org/RePEc:tpr:restat:v:84:y:2002:i:1:p:151-161
Propensity Score-Matching Methods For Nonexperimental Causal Studies. Rajeev Dehejia and Sadek Wahba. The Review of Economics and Statistics, 2002, vol.
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60 Analysis of matched case-control studies | The BMJ
https://www.bmj.com/content/352/bmj.i969
Matching in a case-control study does not control for confounding by the matching factors ... Statistical methods in cancer research.
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61 Comparison of Multivariate Matching Methods: Structures ...
https://www.tandfonline.com/doi/abs/10.1080/10618600.1993.10474623
A comparison and evaluation is made of recent proposals for multivariate matched sampling in observational studies, where the following three questions are ...
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62 Propensity score matching - different sample size
https://stats.stackexchange.com/questions/518221/propensity-score-matching-different-sample-size
The word "matching" can sometimes be vague. Stuart (2010) defines matching "broadly to be any method that aims to equate (or "balance") the distribution ...
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63 Statistical Matching Techniques for a Household Health ...
https://www.mathematica.org/download-media?MediaItemId=%7B236B1DDC-027A-4D3E-B83C-FBA51337576B%7D
This paper describes the statistical matching procedures we used to resolve these linkages. Overall, the methods are estimated to have achieved an exact-match ...
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64 Propensity Score Methods in Health Technology Assessment
https://www.frontiersin.org/articles/10.3389/fphar.2019.00973/full
Conventional statistical approaches including propensity score methods (matching, stratification, and regression adjustment) that condition ...
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65 Propensity Score Matching - Simple. Powerful. Reproducible.
https://statsnotebook.io/blog/analysis/matching/
StatsNotebook is an open source statistical package based on R. ... The method parameter specifies that matching is based on nearest ...
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66 Propensity Score Matching - Econometrics Academy
https://sites.google.com/site/econometricsacademy/econometrics-models/propensity-score-matching
Propensity score matching is used when a group of subjects receive a treatment and we'd like to compare their outcomes with the outcomes of a control group.
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67 Matching Methods for Clustered Observational Studies in ...
https://www.edworkingpapers.com/ai20-235
Recent work in statistics has developed matching methods designed for contexts where treatments are clustered. This form of matching, ...
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68 Full Matching in an Observational Study of Coaching for the SAT
https://dept.stat.lsa.umich.edu/~bbh/hansen2004.pdf
Among matching techniques for observational studies, full matching is in ... Ben B. Hansen is Assistant Professor, Statistics Department, University.
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69 Matching, an Appealing Method to Avoid Confounding?
https://www.karger.com/Article/Fulltext/323136
Matching is a technique used to avoid confounding in a study design. In a cohort study this is done by ensuring an equal distribution among ...
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70 Using Matching Methods From Both Fisher's Experimental ...
https://ecommons.luc.edu/cgi/viewcontent.cgi?article=1273&context=luc_diss
Table 11 Description of Datasets Created through Caliper Matching Technique 48. 12. Table 12. MANCOVA Model. 50. 13. Table 13 Descriptive Statistics of ...
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71 comparison of ps matching for cc data structures - PsyArXiv
https://psyarxiv.com/2k56y/download
In the current study, we compare propensity score (PS) matching methods for data with a ... All datasets were simulated2 with R statistical.
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72 Matching Methods for Causal Inference - Canvas
https://canvas.gu.se/files/4045464/download?download_frd=1
Statistics,. 2010. Matching Methods for Causal Inference: A Review and a Look Forward. Elizabeth A. Stuart. Abstract. When estimating.
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73 Chapter 14 - Matching | The Effect
https://theeffectbook.net/ch-Matching.html
Matching methods create a set of weights for each observation, perhaps calling that weight w . Those weights are designed to make the treatment and control ...
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74 comparing the matching properties of coarsened exact matching
https://getd.libs.uga.edu/pdfs/qin_shanshan_201112_ma.pdf
Sample matching is one statistical technique that can be applied to observational data to archive covariate balance and thus aid in estimating causal ...
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75 Redalyc.Statistical Matching in practice
https://www.redalyc.org/pdf/2833/283352041006.pdf
Statistical matching methods are aimed at the integration of information collected through multiple sources, usually, surveys drawn from some target population.
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76 Statistical Matching as a Supplement to Record Linkage
https://sciendo.com/pdf/10.2478/jos-2018-0045
Statistical matching methods merge individual records from two (or more) data sources based on their similarity on variables observed in all data sources.
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77 Statistical methods for bullet matching - Digital Repository
https://dr.lib.iastate.edu/entities/publication/00f7dd2d-e659-4e69-a75d-3dd1d4f71719
Despite being an accepted and established forensic science practice, the process of matching bullets to determine whether they were fired from the same gun ...
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78 Gary King on Simplifying Matching Methods for Causal ... - AWS
http://ntupsr.s3.amazonaws.com/psr/wp-content/uploads/2018/10/02-1-Gary-King-compressed.pdf
benefits of using alternative matching methods for statistical analysis, and the dangers of using the most commonly used matching method, Propensity Score.
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79 Propensity Score Matching in Nonrandomized Studies
https://www.psychiatrist.com/jcp/assessment/research-methods-statistics/propensity-score-matching-in-nonrandomized-studies/
Propensity score matching is an approximation method that can be applied to observational data in situations, such as pregnancy, in which RCTs are unlikely to ...
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80 Statistical Matching vs Data Matching - Medium
https://medium.com/the-innovation/statistical-matching-vs-data-matching-f4cbc9a63563
Statistical Matching is a model-based approach for providing joint information on variables collected through multiple sources. It is frequently ...
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81 Statistical Matching for Categorical Data - Istat
https://www.istat.it/en/files/2014/04/jos-2006-221.pdf
Statistical matching is a technique for combining information from different sources. It can be used in situations when variables of interest are not ...
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82 An unconstrained statistical matching algorithm for combining ...
https://ro.uow.edu.au/cgi/viewcontent.cgi?article=7588&context=eispapers
reporting units, statistical matching techniques can be employed to link the records from survey and census data where exact matching of ...
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83 A Theory of Statistical Inference for Matching ... - ProQuest
https://search.proquest.com/openview/735fb2d33a601206f417568d9c9c7156/1?pq-origsite=gscholar&cbl=51675
Matching is a powerful nonparametric approach for improving causal inferences, especially in observational studies—that is, where assignment of units to ...
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84 Statistical Matching en la práctica – Una aplicación a ... - Digitum
https://digitum.um.es/digitum/bitstream/10201/75186/1/06.pdf
Methods: Statistical matching is feasible provided that the independent surveys share a common block of variables. A particular solution is.
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85 Multivariate and Propensity Score Matching Software with ...
https://www.jstatsoft.org/article/download/v042i07/504
Journal of Statistical Software. 3 rarely holds with actual data. A significant shortcoming of common matching methods such as Mahalanobis ...
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86 Primer on Statistical Interpretation or Methods Report Card on ...
https://www.ahajournals.org/doi/full/10.1161/circoutcomes.108.790634
Frequently, nearest-neighbor matching within a specified caliper width is used. With this method, the first randomly selected treated subject is ...
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87 Matching Methods for High-Dimensional Data with ...
https://polisci.ucsd.edu/_files/textmatching.pdf
Matching is a statistical technique for modifying observational data to improve causal inferences and reduce model dependence by ensuring ...
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88 Statistical matching: Experimental results and future research ...
https://www.cbs.nl/-/media/imported/documents/2015/50/2015-statistical-matching.pdf
evaluated some methods for statistical matching, namely random hot deck, distance hot deck and statistical matching using a parametric model ...
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89 Matching (statistics) - Wikipedia - Al-Quds University
https://wiki.alquds.edu/?query=Matching_(statistics)
Matching is a statistical technique which is used to evaluate the effect of a ... and power and is no longer recommended compared to other matching methods.
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90 Best Practices in Quasi-Experimental Designs - Corwin
https://us.corwin.com/sites/default/files/upm-binaries/18066_Chapter_11.pdf
which was primarily in sociology and statistics, matching methods have been growing in popu- larity, with developments and applications in.
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91 Matching Methods - Wharton Finance
https://finance.wharton.upenn.edu/~mrrobert/resources/Teaching/CorpFinPhD/Matching-Slides.pdf
This talk will follow closely the review article by Imbens (2004). Michael R. Roberts. Matching Methods. 2/78 ...
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92 JavaScript String match() Method - W3Schools
https://www.w3schools.com/jsref/jsref_match.asp
Definition and Usage. The match() method matches a string against a regular expression **. The match() method returns an array with the matches.
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93 Literature review and methodological background ... - GOV.UK
https://www.gov.uk/government/publications/employment-data-lab-information-and-guidance/literature-review-and-methodological-background-to-the-employment-data-lab
This report highlights the key statistics and sensitivity checks that ... Refining the approach to the selection of matching variables and ...
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94 Ivermectin Prophylaxis Used for COVID-19: A Citywide ...
https://www.cureus.com/articles/82162-ivermectin-prophylaxis-used-for-covid-19-a-citywide-prospective-observational-study-of-223128-subjects-using-propensity-score-matching
Materials and methods: We analyzed data from a prospective, observational study ... with and without the use of propensity score matching (PSM).
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95 Post-COVID-19-associated morbidity in children, adolescents ...
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1004122
In a matched cohort study from Germany, including more than 157000 ... and statistical methodology, were discussed and documented on an ...
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