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Matching refers to a process in experimental design in which observations are sampled in a systematic, non-random fashion to be analyzed more efficiently with special statistical methods.

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Using propensity score AND exact matching for control group selection

I am working with a team of researchers looking to select a control group out of a large population (150,000) to compare with a relatively small treated group (~900). We plan on using a propensity ...
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1answer
15 views

In propensity score matching, should a variable used in exact matching also be used in the model?

In propensity score matching, we can match on variables exactly. For example, we can match males with other males only. Additionally, the variable can be specified in the model. Here's some SAS code ...
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How to handle bias due to self-selection in one group

I want to compare two or three social groups across a set of dependent variables, using data from a longitudinal survey. The problem is that membership in one of the groups leads to a self-selection ...
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17 views

Appropriate statistical test after matching pairs

I am working on a project where I have twitter user profiles and their tweets. The users are divided based on their number of followers in two groups (g1 and ...
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2answers
35 views

How do I 'control for' between cases and controls in survival analysis?

I would appreciate some advice concerning the best practice for controlling covariates in KM curve survival analysis. Individuals suffer from headaches and individuals and are sub-grouped by ...
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18 views

Matching inflation

I have data on a few millions of patients, about 1000 of them are cases, that is, they were diagnosed having a certain disease at some timepoint in their life. I think I basically have two options: 1)...
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1answer
17 views

result of matching analysis in confounding case

currently I'm studying Observation Analysis in my college. One of the part study explain about matching analysis in confounding case. In here, they told me that when we doing matched analysis, ...
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1answer
30 views

Matching by or adjusting for confounders?

When using regression models with a binary exposure, how do you choose whether to adjust for a confounders as covariates or to match the two exposure groups according to the confounders and then ...
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33 views

Entropy matching or any other exact matching with DID

I am applying DID using diff in stata on a data set. However, I believe that few time variant variables may also be confounding variables and I want to control for them. Hence I would like to combine ...
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1answer
390 views

McNemar or Fisher exact test for propensity score matched data?

I want to analyze some propensity score matched data. In the literature McNemar test is usually used, since the data is "paired". However matching is not pairing in the common sense. Would it be ...
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67 views

Propensity matching and analysis of resultant data on a data set with repeated measures

We have extracted retrospective case-level data collected over several years. We are using the administration of rescue antiemetic in the postanesthesia care unit as a proxy for postoperative nausea ...
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26 views

Unsupervised solution to name matching problem python

I am working on a name matching problem. Some of the name challenges that we have to cover are: phonetic Spelling Variations e.g. Cairns vs Kearns or Smith vs Smyth Transliteration Spelling ...
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33 views

Web Content Partial matching algorithm suggestions?

I am trying to find a word or set of words or a similar word in the new web page scraped from publicly available sources to answer a question. I have a small list of keywords against which I would ...
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1answer
50 views

“Matching” with cross-sectional studies: are the samples dependent?

I am comparing the prevalence of disease in participants of two separate cross-sectional surveys. One survey is from a group of prisoners and the other is from the general population. To account for ...
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1answer
121 views

Propensity Score Matching implementation after multiple imputation

There is a very good thread about Propensity Score Matching after multiple imputation with the articles referred: Propensity score matching after multiple imputation In the refered articles, they ...
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7 views

Matching 3 Groups on multiple variables?

I'm doing an undergraduate psychological experiment on memory. We have 3 independent groups(between-participants), and we have 6 significant matching variables (e.g. gender, GPA.. etc.). 1) what is ...
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1answer
84 views

When propensity matching doesn't work

A clinical group presented a dataset based on a convenience sample of about $n=600$ patients in 3-groups, with roughly $n=200$ in each group. Like a lot of groups, the request was "we want to use ...
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36 views

Match a path to a roadmap

I do not know if I'm in the right place but let us go. I got a relative path of an object. Which mean I know the distance and the direction between all the points of the path but do not know their GPS ...
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58 views

What is the best way to analyse (in SPSS) a matched group design?

I am studying cognition in juvenile sex offenders. I have two independent groups: juvenile sex offenders and juvenile non-sex offenders. I am matching these groups on 9 variables: age, gender, SES, ...
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1answer
18 views

How to match more than two samples?

I'd like to compare the average values of some variables between 3 different groups. I should control for some covariates between the members of these 3 groups. For that, I decided to use matching ...
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1answer
149 views

Own distance measure in R MatchIt

I would like to use propensity scores that I developed from a multilevel logistic model as the distance measure for matching using the MatchIt package in R. The documentation for MatchIt says that I ...
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1answer
90 views

Selecting 10 times the number of treatment observations from the control using matchit

I have 10,000 observations in the control and 500 in the treatment population. I want to select 5,000 from control which match best with the 500 in the treatment. Right now, using ...
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1answer
21 views

An open database for propensity score matching

I need an open biological or medical database for benchmarking methods for propensity score matching. Where can I find some?
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2answers
607 views

Placebo test for difference in differences analysis

I am running difference in differences analysis. To show that results are not driven purely by the research design, I want to run placebo analysis. However the issue with my setting is that, each ...
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2answers
69 views

Can we perform matching on post-treatment variables?

I want to match followers of some seed accounts with some random users on Twitter based on observed covariates using the coarsened exact matching method. My goal is to test whether following those ...
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20 views

Equilibrium matching vs propensity score matching

Does anyone have experience with equilibrium matching methods to control for imbalances between study groups? Are there pros- and cons- versus propensity score matching?
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117 views

Propensity Score Matching - Multiple observations in control group

I am quite new to propensity score matching and have the following issue in my data. I have two groups (Treatment vs control) this could be for eg. two types of loyalty program at a retail store. In ...
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1answer
29 views

How to compute the difference in means estimator using `MatchIt` propensity score matching output?

From MatchIt, we are able to obtain a list of treatment and control pairings. I am wondering how it is possible to find the differences in means estimator from <...
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1answer
216 views

For propensity score matching on binary outcome variables, why can the effect of treatment only be reported as the ATT instead of the ATE?

I read in this paper An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies, that "If the outcome is dichotomous (self-report of the presence ...
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1answer
40 views

Should matching always reduce the effect of variates in subsequent regression models?

This query is cross posted from the Statalist forum where it did not prompt any responses. I am trying to understand whether an intervention ("tha") is associated with increased 12-month mortality ("...
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15 views

Following people through time: Choosing a dependent variable for matching in a set of overlapping panels

I have a set of overlapping two-period panels. In each period half of the sample is released and a new half-sample is drawn. All observations include income and various demographic variables. I would ...
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68 views

Combine Difference-in-Differences Design with Entropy Matching

I have a pre-post/treatment-control design (diff-in-diff) with one treatment event. The data is a firm panel data set (5 pre and 5 post firm-years, ~200 firms). The problem - my treatment and control ...
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48 views

Causal impact (or propensity score matching) on a social graph?

Scenario I have data on a set of user profiles for a store and can track spending over time. The population is a mixture of adults and children, where some are actually family members. A new program ...
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1answer
26 views

How to match sample points to a probabilistic model?

This might be a trivial question I have a probabilistic model, say a Gaussian mixture model of known parameters, and with that I have a set of defined sample points. I would like to know how likely ...
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142 views

Apply ML to raw sensor data for pattern matching

I'm trying to do some pattern detection experiments with smartphone motion sensors data, especially accelerometer data. First, in a recording mode, I get the sensors data associated with my pattern. ...
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22 views

(Ab)using Propensity Score Matching to Deanonymize data

Is there anything about simple 0-to-1.0 propensity scores (or other Matching technique) that might make it also good for deanonymization of a released dataset? Specifically, can it be used to ...
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18 views

Inferring causality with matched pairs t test

I have a (theoretical) task which I would ask each member of a random sample to complete, both before the task has been altered and after alteration, so a matched pairs design. My question is, if I ...
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algorithm or technique for matching transactions

I've got two data sets, one is "expected transaction" another is "actual transactions" It's something similar to the following EXPECTED (generated on december 4th) ...
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1answer
169 views

Propensity socring matching (PSM) as an alternative to instumental variable (IV)

I am doing a project assessing whether participating in the rural land rental market helps to increase rural household's income in China. Hence this topic is relevant to development economics. In the ...
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Propensity score matching: Select relevant covariats with regression?

I‘m performing a propensity score matching in a health economics setting. The goal is to show the effect of a certain treatment on health expenses. Is it reasonable to identify first the covariats ...
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1answer
88 views

Re-weight a data to match summary statistics of another dataset

I am trying to conduct a matching-adjusted indirect comparison (MAIC) using R. The process is similar to propensity score weighting. The process involves reweighting subjects in a population so that ...
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1answer
33 views

Post-Match Analysis After Already Adjusting For Everything

Let's say I am conducting an observational study in which a group that received treatment (T+) is matched to another group (T-) using propensity score analysis where I use the "throw-the-kitchen-sink" ...
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238 views

How can I do a Propensity Score Matching with IV?

I'm trying to do a PSM with IV based on this paper and I would like to apply it to my script (in R). But, I've had problems with the full understanding about the procedure to obtain the algorithm. ...
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234 views

Bootstrapped Propensity Score Matching

Assume we have a sample where the treatment is present for only a small fraction of the sample, and we want to exploit the treatment using propensity score matching. However, since the treatment group ...
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18 views

Optimal matching of hierarchical data

I have an experiment with two groups of participants, Treatment and Control. For each participant, there is some number of observations (between 5 and 15), with each observation having some value ...
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1answer
100 views

Will impose a caliper help to reduce the bias or reduce the variance?

On the lecture notes provided by my tutor, the caliper matching is introduced under the methods of nearest neighbour matching. Basically, on the slide, it says the nearest neighbour matching lacks ...
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1answer
53 views

Where to get regression treatment effect instead of average treatment effect after using propensity scoring match

In Dehejia and Wahba (2002), after the average treatment effect column, there is also a new column "regression treatment effect". I know the average treatment effect is just the average difference of ...
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1answer
110 views

What are the models used for propensity scoring?

I was given a set of data and was asked to use Stata to perform matching by using propensity scoring method. Since I only learned probit and logit model when facing binary dependent variable in my ...
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132 views

What distinct matching routines do exist?

In a seminar paper I'm discussing all possible matching routines. It turned out that there are quite many of them. Now I am looking for several answers: First, I discovered that some routines happen ...
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1answer
81 views

Synthetic Control Method for Evaluation of Nationwide Policy Reforms

As I understand it, the synthetic control method (SCM)-a method that builds on difference-in-differences (DD) estimation-can be used to evaluate the causal effect of shocks or interventions [see 1]. ...