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Questions tagged [pooling]

Pooling, eg for variance, is used when several groups or populations are assumed to have a common property (a common parameter value) and the information from all the groups or populations are used together to estimate that common property.

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Bootstrap standard errors after multiple imputation

Following Rubin's rules for multiple imputation, I've calculated pooled estimates, group means in this case, with pooled standard errors. I checked this with a bootstrap and, assuming pooled standard ...
jay.sf's user avatar
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Estimating variance from several samples

If several samples are taken from a distribution, say Gaussian, each sample having size n1,n2,n3,... and the SD of the underlying distribution is estimated from each of the samples, how can those ...
Maciej Tomczak's user avatar
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pooled time-series regression

Suppose I am running country-level time-series regressions of stock market returns $r_{i,t}$ on some global predictor $p_{t-1}$ , where $i$ and $t$ denote a country and a month, respectively: \begin{...
Daniel Pinto's user avatar
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Standard error of mean with varying replicates for batches

I have three batches of simulations and I calculate a specific property from these (not important for the question). I want to calculate combined SEM for these three batches Batch | #samples | ...
user412503's user avatar
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How can I combine/pool the results of regression ANN? [closed]

In my analysis, the data contains 5 imputed dependent variables. So, after analyzing all of the dependent variables separately with a regression neural network, I need to combine/pool the results. ...
minre's user avatar
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In multilevel logistic regression, can pooled data return significant variables when the same variables in stratified data are not significant?

I have analyzed some secondary data that relates to Plasmodium infection at three forest sites: inside the forest, at the forest fringe, and outside the forest. The outcome variable is infection with ...
Trypanosoma's user avatar
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Proportion testing from pooled single cell/nucleus samples

I have a snRNAseq experiment with a 2x2 layout (wt vs transgenic, drug vs vehicle; Wt-V, Wt-D, Tg-V, Tg-D). I have 6 mice per group, but for cost reasons we pooled pairs of samples in each group, for ...
dragon951's user avatar
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Pooling survey years in random forests

I am currently trying to predict household wealth in a random forest, using survey data. My problem is the number of the observations. I have the option to either choose single years (n=4.000) or ...
Matzigurion's user avatar
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Is there a best approach for statistical power for field experiment?

I'm setting up a field experiment and want to make a solid plan for the analysis, since that's whereI get stressed in the process. I will deploy 26 pairs of traps. 13 pairs will be in urban forest, ...
E10's user avatar
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Combining data before and after protocol modification

In one of my research, we decided to "update" the procedure mid-study. In short, we initially tested a repeated measures design (1 factor with 3 levels, 5 times per condition for a total of ...
Nee's user avatar
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Global Average Pooling layer and location information

I've got a question about the usage of Global Average Pooling layer (GAP). I am working on the classification of sea level pressure data, where obviously the location of high/low pressure system ...
ATYslh's user avatar
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Panel vs Pooled OLS

My sample comprises of data on accounting performance of companies that had their IPOs between 2009-22. I want to examine if companies which had more foreign investor participation in their IPOs ...
roshnigarg's user avatar
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95 views

Is it necessary to use attention mask for mean pooling for BERT?

I am working on a project involving the analysis of clinical texts using the "emilyalsentzer/Bio_ClinicalBERT" model from Hugging Face's transformers library. My goal is to extract ...
mutli-arm-bandit's user avatar
4 votes
1 answer
82 views

Why does Partial Pooling occur in Mixed Effects Regressions?

I am trying to create an intuitive example which shows why Mixed Effects Regression models perform Partial Pooling in the background. I previously tried to demonstrate that Mixed Effects Regressions ...
Uk rain troll's user avatar
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Pooling uncorrelated data to increase size of data or not

I have a generic ML "theory" question, and I haven't been able to find any papers with online search. Background My area is financial price prediction, and this is an area where ML generally ...
uday's user avatar
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1 vote
1 answer
170 views

Panel Data Estimation and Control Variables

My undergrad thesis has something to do with the relationship between emissions, mitigation-related official development assistance, and governance variables in chosen ASEAN countries. As such, my (...
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How to pool hazard ratios from multi-arm study to get a unique HR between two arms?

Good morning I should start a meta-analysis but I am facing with a problem of extracting/combining data from one study. I am comparing A versus B population in terms of overall survival. The study ...
Fabio Carbone's user avatar
3 votes
0 answers
122 views

Pooled Kurtosis Estimator Using Pooled Cumulant Estimators

I am trying to come up with a statistically sensible pooled kurtosis estimator that is based on pooled cumulant estimators. Specifically, I have unbiased estimators of the second and fourth cumulant ...
Hiro's user avatar
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Pooled Standard deviation of means

I am reading the book Statistical Methods In Online A/B Testing. I have two questions: 1. Please Consider the scenario, an A/B test in which the variance of A and B groups are assumed to be same, and ...
yo wa's user avatar
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2 votes
1 answer
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Pooled analysis of different but very similar measures; what is the best practice?

I have three small data sets which include scores on global cognitive assessments. Two data sets use the score on the Mini Mental State Exam, one uses the score of the Montreal Cognitive Assessment. ...
KLN-RDN's user avatar
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No Pooling approach is being applied from a fixed effect

Hello I was reading about no pooling and partial pooling. I understoond that a mixed model is using partial pooling approach when we talking about hierarchical data. Is it correct to say that fixed ...
Superd's user avatar
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How to impute the std deviation of a sample using the pooled mean and standard deviation of similar samples?

I want to perform a meta-regression based on the mean changes from baseline values.In one of the studies, the standard deviation has not been mentioned. How can I impute the value of the missed ...
victor james's user avatar
1 vote
2 answers
118 views

Consistency of the pooled standard deviation estimate

Suppose that $X_{ik}\sim\mathcal N(0,\sigma^2)$ for $k = 1,2,\dots, n_i$ are independent and identically distributed for each $i \in\{ 1,2\}$. Note that I assume equal means ($0$) and variances ($\...
Syd Amerikaner's user avatar
1 vote
0 answers
65 views

How does a fixed-effects regression improve on a pooled OLS regression with non-normal residuals, heteroskedasticity and autocorrelation?

I am running a pooled OLS regression as a benchmark model on a panel data set of online forum member activity. The aim of the model is to understand the relationship between exposure to hate speech ...
Connor95's user avatar
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Is it possible to "unpool" a pooled variance if the population variances are not equal?

I recognize that if the population variances are not equal, it's not really a pooled variance to start with, but I wanted to keep the question succinct. The scenario here is that I begin with a sample ...
thor's user avatar
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1 vote
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20 views

How rigorously can boundary conditions on statistical power of stratified analysis vs. pooled analysis be defined?

I spend a lot of time thinking about conditions under which various kinds of analyses perform well. To some degree I am hoping NOT to specify too many specifics here (because part of what I am ...
Vincent Laufer's user avatar
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318 views

How do you calculate descriptive statistics before and after matching multiply imputed datasets?

I'm trying to find the best way to calculate descriptive statistics following matching on a dataset with missing values (handled using multiple imputation). The purpose is to present this data as &...
Phil's user avatar
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42 views

When to pool batches for tolerance intervals?

Imagine that we have at disposal several batches of data from a given process and that the interval time of record of each batches can be week, months or even years. Out of these data, we would like ...
lulufofo's user avatar
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Sign change of main variable when I add the interaction tetm [duplicate]

I am running pooled regression for 67 group my dependent variable is gini disposable and independent variable is women empowerment (economic,social,political) and institutional quality ( government ...
zainab Mukhtar's user avatar
1 vote
0 answers
96 views

Attributing variance to fixed and random effects / partial pooling in glmmTMB

I have a dataset with counts of birds in two locations over time, and am interested in describing the difference in trends in bird counts between these locations. The counts are conducted by multiple ...
Sci An's user avatar
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Link test for pooled logistic regression

After logistic regression of the cross-sectional data sets, link test _hatsq shows insignificant. However, when I pool the same two data sets, the link test using the same set of variables regression ...
Arya's user avatar
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1 vote
1 answer
500 views

Multiple imputation MICE categorical variable: problem with pooling after running ANOVA

I am trying to answer a question about satisfaction and its relation with a certain variable (numeric, 1-10). However, my data contains a lot of missing values in the satisfaction outcome, therefore I ...
Sharon's user avatar
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0 votes
2 answers
1k views

Cox Regression on multiple imputed datasets (R)

I fit a cox regression using the coxph function of the survival package. Now I wanted to do the same on a multiple imputed data set (which I already have, generated in another software). I found some ...
Sebastian's user avatar
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2 votes
0 answers
49 views

Approaches to (non-linear) meta-regression to estimate the conditional population distribution of $y$ based on aggregate data

I want to estimate the distribution of a variable in certain subgroups of the population based on pooling of aggregate data reported in various observational studies. For simplicity, assume there is a ...
user9794's user avatar
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4 votes
2 answers
695 views

How can I average the variance extracted from different group of samples?

I have groups of samples, where each group has a different number of samples and a different mean. I also know the variance of each group of samples. I would like to compute a sort of "average&...
Luca Venturini's user avatar
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0 answers
133 views

Is there a way to fit a machine learning model to MICE imputed datasets and pool the results?

I have a medical dataset that has a lot of missing values. I imputed five datasets using MICE in R. I want to fit a classification machine learning model to the dataset. I want to identify the most ...
Just a stat student's user avatar
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0 answers
431 views

Multiple logistic regression odds ratio on multiply imputed data in R

I am running a hierarchical logistic regression analysis using multiply imputed data in R (using the mice and miceafter packages). I am unable to get the odds ratio and 95% CI per variable adjusted ...
Mona's user avatar
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1 vote
0 answers
105 views

Pooled standard deviation of two correlated variables [closed]

I'm trying to calculate an effect size index where I need to pool 2 standard deviations calculated from correlated variables (pre-post treatment scores). Using the standard formula: $$ \sigma^2_{...
Filippo Gambarota's user avatar
4 votes
1 answer
968 views

What is the difference between "repeated cross-section" and "pooled cross-section"?

What is the difference between "repeated cross-section" and "pooled cross-section"? Pooled cross-section is defined e.g. here as "randomly sampled cross sections of ...
robertspierre's user avatar
1 vote
0 answers
363 views

Is downsampling necessary in CNN?

I am still trying to understand the effect of any downsampling (reducing the input height and weight by 2 for example) by pooling or strided convolution? Does downsampling improve accuracy? Because in ...
Charles W's user avatar
1 vote
0 answers
124 views

Pooling SHAP values from multiple imputed data

I have multiple imputed data and will be conducting an identical lightGBM model with the same input features in each of the imputed datasets. My aim is to calculate SHAP values (SHapley Additive ...
Austin's user avatar
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0 votes
0 answers
77 views

How to choose the best converging imputations for my CFA model and pool them

I have 70 imputations of my original data set. I want to choose 50 of them which converged after less than 120 iterations on my CFA model: ...
juliawwu's user avatar
2 votes
0 answers
291 views

Why not using Convolutional pooling instead of MaxPooling to avoid invariance

I was reading the paper of [Geoffrey Hinton: Capsule network], and I watch it's talk on Youtube about the problem of Conv Network is actually the (max) pooling layer, since we don't want to be ...
Alberto's user avatar
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bias is large relative to the variance when we pool information over small samples or when data is highly stratified?

I am reading Yudi Pawitan's In All Likelihood Chapter 5. The book makes the following assertion on MLE bias. "...bias is large relative to the variance when we pool information over small samples ...
user45765's user avatar
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1 vote
0 answers
47 views

Rolling autoregression coefficient

I was reading a paper and I saw that they run a 3-year rolling autoregression for 20 years (using for example 2013-2016 as trailing and 2016-2019 as forwarding) and got only one beta coefficient and ...
mo1965's user avatar
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1 vote
0 answers
36 views

Does average or max pooling actually summarise the sentence?

I am working on an multi-label text classification problem at work and adapted model architecture from this notebook of Toxic Comment Classification challenge on Kaggle. I have trained the model, a ...
Naveen Reddy Marthala's user avatar
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0 answers
33 views

Cleaning up several crude odds ratios from several sources

Does anyone know a formula for pooling odds ratios across studies? I'm trying to do a quick pen and paper pooling of different numbers of odds ratios from different studies where I don't have the ...
Jamie Watts's user avatar
1 vote
1 answer
75 views

why some pooled variance has "average" and some just uses direct sum without avg?

say $X,Y$ are two random variables. I see courses saying $X+Y$ and $X-Y$, each has a variance of $\sigma_x^2 + \sigma_y^2.$ But, on the other hand, I also see courses talking about for $X$ and $Y,$ ...
user3236895's user avatar
1 vote
1 answer
36 views

Can I use alternative pooling technique after multiple imputation?

Research problem: Comparison of means (T-test, ANOVA) between 90 countries. Analytical problem: I have a large data set of over 120 000 observations. Each observation was measures by 8 variables: 2 ...
KamilB1988's user avatar
1 vote
1 answer
1k views

How do you interpret Beta coefficients for Fixed Effects Panel Data Models?

Let's say we have House Prices across different cities (Bristol, Brighton, London, Glasgow) across time (Monthly data from 2016-2020) and we're trying to predict it using unemployment and crime. t = ...
Charles Valencia Evans's user avatar

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