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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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Propensity Matching in Longitudinal Studies (with independent participants)

I am trying to generate a set of matched samples from a longitudinal study. However, I would like the matched pairs to be from independent individuals, and as soon as a pair of samples are selected, ...
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Falsification tests for observational data: How to select placebo variables?

I performed a statistical matching to analyze some observational data. To evaluate whether my results are affected by unobserved confounders, I want to conduct a placebo falsification test, as ...
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3:1 matching with MatchIt in R. The number of matched control is not equal to 3 times the number of cases

Hello I'm using the MatchIt package in R I have a total of unmatched 116 treated cases and 462 unmatcehd non-treated case with the command ...
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Weights for censored (Tobit) regression after one-to-many matching

I have some data after 1-to-3 propensity score matching. I want to use the Tobit regression for an outcome in the matched data. I use vglm() function from ...
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1answer
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Accounting for “surgeon preference” when modeling a binary surgical outcome

I'm trying to model the risk of a binary event following surgery (event=admitted for observation, y/n), and my main predictor is a three-level 'treatment' administered during the procedure (Tx_A, Tx_B,...
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How do I match factors in two different factor columns in R [closed]

Hi So I have three columns with the same list of names. staffdf.Person : Factor w/ 46 levels "Aaron","Alex K",..: 1 2 3 4 5 6 7 8 9 10 ... $ workerprofit : num 18.5 18.5 18.5 18.5 18....
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32 views

Confidence intervals after one-to-many matching - number of degrees of freedom

I have propensity score matched data after 1-to-3 matching. I am trying to use the code from the answer to https://stackoverflow.com/questions/37973240/ The question is: what number of degrees of ...
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37 views

Paired tests for one-to-many matched observations

I have a propensity score matched data after 1-to-2 matching. Each treatment case is matched to one or two control cases. May I use paired tests to compare the outcomes? The discussion https://www....
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Evaluating Impact of Unobserved Confounders - Is the E-Value applicable for Non-Significant Group Differences?

I have conducted an analysis of treatment effects based on observational data (via statistical matching). As suggested by VanderWeele and Ding (2017), I want to evaluate the sensitivity of my analysis ...
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26 views

Matching new products with products those have actual sales data

New fashion products are arriving every season so I do not have historical sales data for them. Hence, I am using product attributes such as size,color, material, product group, price and some other ...
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Local Combinational Variable Vs. Hidden Markov Model based sequence matching

I am having trouble understanding the concept of Local Combinational Variable (LCV) as described in this paper at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2761287/ I do understand somewhat how an ...
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Matching: is here an equivalent for caliper with mahalanobis model (as in logit model)

I'm trying to set the caliper value to a matching with mahalanobis metric method in R. Although a smaller value effectively improves the model (and decreases the number of matched items as a tradeoff) ...
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Difference-in-Difference with multiple regression vs. matching combined with Difference in Difference

I want to use a Difference-in-Difference approach. In order to make sure treatment and control group are similar, I want to use a propensity score matching before the DiD approach. What I do is to ...
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1answer
23 views

Interacting treatment variables with independent variables in matched samples

Can we interact the treatment variables with independent control variables that have been used for matching? I have a binary treatment variable called 'medicine'. It indicates whether a person ...
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Modeling hip fracture incidence (hospital-based cohort design)

Hoping someone can help me out with a question I have on an analysis looking at prosthetic hip fracture incidence following hip replacement surgery (exposure=type of implant, with reference being the ...
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1answer
36 views

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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2answers
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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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20 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
36 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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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
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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
32 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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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
615 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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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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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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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
95 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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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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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
89 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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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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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
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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
208 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
108 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
22 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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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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3answers
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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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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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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
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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
302 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
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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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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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82 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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52 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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152 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. ...