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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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Propensity scores in logistic regression models

I have a query after reading a paper, which is about the effectiveness of a medical device. In summary, what the authors did was 1. Generating a propensity score using a multivariable logistic ...
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1answer
22 views

Degrees of freedom in matching for calculating p-value of t-score

I am running a matching analysis using the Match function from the Matching R-package. My sample includes 86048 firms, from which 611 have received treatment. After matching on sector(exact), number ...
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Data matching technique

I have a database of different clients and I know from which countries these customers source their good from. E.g. XZY company sources 80% of the goods from China 10% from India and 10% from Russia. ...
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11 views

How to design inclusion criteria to match groups?

I am currently working on a study with a population of mostly veterans with chronic spinal cord injuries (goal n=60, currently n=27). We decided to add a comparison group of able-bodied controls that ...
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1answer
26 views

Propensity score matching with MatchIt: Question on missing standard mean differences in balance tab on cobalt package

I am using MatchIt to carry out some propensity score matching, and then using the cobalt package to generate the balance diagnostic. The summary() command on MatchIt has a known bug where it does not ...
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1answer
39 views

Why is Propensity Score called a distance measure as well?

I had to use Propensity score matching for my study. I used the MatchIt function in R and I studied what it actually does. I understand that the propensity score is calculated using Logistic ...
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In causal inference, is the usual unconfoundedness assumption interpreted to apply at the unit or covariate level?

Suppose for each unit $i \in \{1, \ldots, N\}$, we have that $(Y_i(1),Y_i(0))$ are the potential outcomes, $Z_i$ is the treatment, and $X_i$ the covariates. I have seen the following two ...
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If unconfoundedness holds under a set of covariates $X$, will it also hold on an extended set of covariates, $(X,X')$?

Suppose unconfoundedness holds for a set of potential outcomes $(Y(1),Y(0))$ and treatment $Z$, conditional on a set of covariates, $X$ such that: $$ (Y(1),Y(0)) \perp Z \mid X $$ Then, is it ...
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In Exact Matching in Causal Inference, why is it that that $P(X_i=x\mid Z_i = 1)= P(X_i=x\mid Z_i = 0)$ where $X,Z$ are the covariates and treatment?

In Exact Matching in Causal Inference, I read that because we assume exact matches, then exact balance occurs in the distribution of the covariates. It is then often stated that if $X,Z$ are the ...
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1answer
24 views

For Matching on a categorical variable with N categories, will it suffice to create (N-1) binary features and match on them?

I have data on patients who received different amounts of Occupational therapy (High Dose vs Low Dose) after a stroke. We are investigating if there are differences in recovery between patients from ...
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14 views

Estimating weights in the assignment problem

How would you learn a function with the emphasis on feature interactions? I have the standard assignment problem: $$ \max_{x_{ij}} \sum_{(i, j)} w_{ij} x_{ij}, $$ where $w_{ij}$ is the weight of ...
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1answer
37 views

How exactly to evaluate Treatment effect after Matching?

In Elizabeth's Stuart's 2010 paper "Matching methods for causal inference: A review and a look forward", she states the following: "Section 5: Analysis of the Outcome: ... After the matching has ...
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25 views

Best method to investigate treatment effect after creating a Matched control group using Gentic Matching (with replacement)?

Project background: I have data on patients who received varying amounts of therapy dose during treatment of stroke-induced paralysis. I wish to investigate if there are differences in motor-function ...
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1answer
63 views

Matching with Multiple Treatments

What's the best way to use matching methods with multiple treatment groups? I'm assessing the impact of an intervention on an outcome. For my first analysis, I used the MatchIt package (see code below)...
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1answer
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is there a way to find suitable ratio for “ratio” in Matchit package in R

I am using matchit package in R to find a control set for my treated units and I am testing the model with different ratio to get suitable control set. Is there a way to find suitable ratio and I will ...
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2answers
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Matching covariate selection- should we not match on binary features where overwhelming majority of subjects fall in one category?

I am trying to investigate if there is a relation between Occupational Therapy (OT) dosage for stroke patients and patient recovery. I have separated the patients into 2 groups by the amount of ...
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1answer
41 views

What type of regression for two groups of data?

I have data from 500 school children who took a test. 250 of the children have a certain type of disability (group A). Each child in group A was matched to a child on the basis of age, gender to a ...
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How to predict matching between two objects? [closed]

There is information from a website which connects questions from users to suitable professionals that might be interested in answering the particular questions. The data contains over 10.000 ...
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1answer
15 views

What distance function to use for matching observations on a mix of ordinal, nominal and numeric variables?

I'm trying to match potential respondents to a random sample from the target population, and not sure whether any of the usual methods available out-of-the-box in e.g. R are right for the job. ...
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1answer
61 views

Estimation of average treatment effect based on nearest neighbor matching [closed]

I would like to use R to duplicate the treatment effect estimation method used in Stata. Specifically, this is the Stata method I would like to duplicate. I have tried the package ...
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1answer
58 views

After performing Matching w/ replacement, should tests to evaluate treatment effect between the matched groups include repeated subjects?

I am using Genetic Matching to infer causality from observational data. Because I am matching with replacement, the matched Control group has multiple instances of some of the same subjects. In this ...
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23 views

Synthetic Controls vs Coarsened Exact Matching with weights vs Coarsened Exact Matching k2k

My question is mostly out of curiosity. How one should choose between synthetic controls and coarsened exact matching (CEM) when he/she wants to combine it with difference-in-difference design? ...
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1answer
41 views

In matching procedures in causal inference, will matching on more covariates always decrease the bias? Can the bias ever increase? [duplicate]

There are various matching procedures in the causal inference literature, from exact matching to propensity score matching and more. The goal is usually to find the Average Treatment Effect (ATE). ...
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Is matching necessary for prediction from logistic regression?

I have a data set with very imbalanced groups (about 3% have an effect, while 97% don't). I experimented with logistic regression and was convinced that I can get to a very good accuracy of prediction ...
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1answer
120 views

A difference-in-differences propensity score matching approach

I am facing some challenges using the DID.I have around 500 Items off which 100 are test and its very difficult to find a control group for DID, so I used PSM to find control group using nearest ...
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48 views

Propensity score matching and DD over different event windows

I'm currently working on a project in which we are trying to investigate the operating (accounting) performance of seasoned equity offerings. To comprehend the endogeneity problem, we apply ...
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How to match different samples with different tests in a structural equations model? SPSS / AMOS

I am working on a study on hotels that analyzes the possible influence of the labor sastifacción (MSQ, 20 questions scale 1 to 5) in customer satisfaction (scale 1 to 5, questions that evaluate ...
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1answer
275 views

what's the difference between stratified sampling and matching?

I am trying to find a good technique to balance data in which the minority class is about 1% of the data. As I understood, the most common practice is matching. What is the difference, though, ...
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52 views

SMOTE algorithm gives better AUC than matching

I have a highly imbalanced data set: a total of 13000 patients, 160 having condition A, and various other features which could be predictors. In order to balance the data I did two things: 1) ...
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28 views

Difference in means test for coefficients from two matching models

I have a model estimating the effect of a treatment on two different populations, and a theoretical hypothesis that the effect should be larger for population A than for population B. I can address ...
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1answer
115 views

Is it correct to use paired t test after 1:2 matching?

Is it correct to use paired t test after 1:2 propensity score matching? How we can do this in R? I found the following link in SPSS (https://www.researchgate.net/post/how_is_paired_t-...
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Compute Sensitivity and Specificity with Incomplete Data

I have two data sets $A$ and $B$ which I want to combine using statistical methods (e.g. some matching algorithms such as Nearest Neighbor). I have a third data set $C$ that encompasses the true ...
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1answer
26 views

R- Trouble understanding what loss function is being used by Genmatch (genetic matching) algorithm

I am having some trouble understanding what loss function is being minimized to ensure that we are converging towards the best set of weights in the Genmatch function in R. I was reading the paper on ...
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28 views

Matched case control data

I'm new to working with matched case-control data. I have a study where case individuals are matched to controls in a 1:3 way. This means that for every case (diseased) I have three matched controls (...
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R- trouble understanding how setting estimand to “ATE” is affecting matching in “Matching” package

I am working on a project where I am using observational data from patients and trying to find a causal relationship on how Treatment dose affects Patient recovery. Since the data is observational, I ...
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“Matching” groups in a clinical study

I have the following question regarding a clinical study in the Surgery department of an hospital: 1) I have two groups of patients: group A - comprising patients operated in 2016; group B - ...
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1answer
260 views

How to do PSM with panel data using PanelMatch?

I would greatly appreciate if you could let me know how to use PanelMatch for my dataset. Unfortunately, I couldn't find it's manual so I don't know how to find which firms are matched, how to extract ...
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1answer
41 views

Do propensity score matching methods need to factor in the index date in a matched cohort context?

I am working on a comparative effectiveness study where we estimated the propensity of treatment between two groups and are exploring matching on the propensity score. The study period is long, ...
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29 views

How to understand “controls” in matching versus regression

I'm trying to understand matching in comparison to regression, especially how using 'controls' in regression changes in matching. The part I don't understand is about the distribution of covariates ...
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1answer
333 views

1:1 nearest neighbor propensity score matching in R (MatchIt package)

I used 1:1 nearest neighbor propensity score matching in R (MatchIt package) to match samples from an experimental group with a control sample. I used the procedure described here: https://pareonline....
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1answer
48 views

Propensity score matching: covariate balance

I have one concern about propensity score matching's assumption. It seems that what propensity score is doing is to say that the choice of treatment depends on pre-treatment covariates. Suppose I am ...
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1answer
282 views

Matching on pre-treatment outcome in diff-in-diff

The parallel trends assumption for a difference-in-differences analysis does not require the level of the trends to be similar (just parallel). However, in a case where we want the levels to be ...
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1answer
130 views

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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1answer
35 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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28 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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145 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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23 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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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
23 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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1answer
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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 ...