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Questions tagged [matching]

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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Diff-in-diff with mactched control group

I want to run a diff-in-diff model. To choose an appropriate control group, I use a nearest-neighbor matching model based on several determinants of the outcome variable that I study. I was ...
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15 views

In propensity score matching, what violations or implications may result from having fitted propensity scores that are not centered at 0.5?

I currently have a procedure doing propensity score matching, and I use the fitted propensity scores (obtained via a glm call) and match on those. It turns out that I have about 60-70% more fitted ...
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8 views

Variable ratio matching

I am working on a simulated study where I have variable number of control matches for my treatment subjects. I am new to this type of analysis. I realize after matching I can utilize logistic ...
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21 views

Conditional logistic regression on matched data with replacement

I'm using 1 to 5 matching on my data with replacement, where each treatment is paired to at most 5 control units with the possibility of one control unit being assigned to more than one treatment. ...
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15 views

compare single value to a sample

I wish to compare a single case (i.e. 100% of a population of 1) to a sample of another population. I am accustomed to using standardized differences for both dichotomous and continuous variables ...
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33 views

Can Mahalanobis distance not be applied reliably after performing one-hot encoding with certain data-sets?

I am working with a data-set of patient performance-data and patient demographics for people with a medical condition. I am trying to assess the effect of a treatment on the patients, and as I am ...
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10 views

Matching adjusted indirect comparison with categorical variables

I am trying to perform MAIC on individual data from cardiology. I am trying to adjust for age and gender. As described, the aim is to center the variables from my trial to publish mean/%abundance from ...
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30 views

How does the “BiasAdjust” term in Match() function from Matching R package work?

In the Match() function in the Matching R package, it takes in inputs like: ...
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1answer
10 views

Evaluating propensity score matches- what to do when ratio of variances or standardized means of difference go to infinity?

I am working on a project where I am comparing the effects of a particular treatment on patients with other patients who didn't receive the treatment. As I am trying to replicate a randomized ...
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23 views

For the Match() function in the R package, “Matching”, what algorithm is used for propensity score matching?

In the Matching package in R, one can conduct propensity score matching if propensity scores are passed to the ...
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23 views

What is the purpose of using MatchIt in R with nearest neighbors for estimation of ATE if it does not report which pairs are matched?

I am currently using the matchit function in MatchIt in R. For example, in the call: ...
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8 views

Abadie Imbens (matching technique) number of observations: “nnmatch” command

I'm using the command for Abadie-Imbens matching "nnmatch". My co-author and I are wondering why the N resulting from this analysis is not smaller than the N resulting from using a more traditional ...
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MatchIt: Explanation of Missing Factors from Summary

I am using the MatchIt package to perform matching between two groups (obese and not obese). The dataset that I am using has no missing data. I am matching on age, sex, and race. Sex and race are ...
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16 views

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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96 views

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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1answer
26 views

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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37 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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42 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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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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23 views

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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31 views

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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25 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
48 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
136 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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21 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
41 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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21 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
19 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
38 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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91 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
664 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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38 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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34 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
153 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
189 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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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
94 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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42 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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190 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
19 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
241 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
127 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
25 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
1k 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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3answers
108 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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21 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?