Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [pooled-model]

7 questions
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Classification problem with multiple steps

The system I'm trying to make predictions for is Markovian (similar setup to a state-space model). I observe a bunch of events (say 1000) over time. Each event can have up to 10 steps. At each time period, I need to predict one of 3 possible…
stevew
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Assessing Summary Results of m Pooled Models in MICE

If you have fit m models to m datasets in multiple imputation, what is the approach to assessing the pooled results if some of the m models have issues? For example, you fit a glm to 20 data sets generated from multiple imputation and are interested…
Andy
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Pols vs FE panel data l clustered l Model specification

I would be very thankful to have your insight regarding the equation of the estimation models below, and if you can help in clarifying the doubt explained below. In this research, data was retrieved from the financial statements of German and US…
LeoFer
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Logistic regression on Pooled data

I have a database with N firms, and observations for several variables (both numeric and binary) for each firm per year. As an example: df <- data.frame( "Year" = c (2010,2010,2010,2011,2011,2011,2012,2012,2012) "Firm" = c…
Ludovico
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What is the correct way to calculate annual increase rate with only averaged data for each several years?

I need to calculate the annual increase rate (both absolute and relative) of a set of data. However, I do not have the raw data for each year. I only have the data averaged for each of several years as listed in the table…
user2230101
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How to correct for multiple testing when using multiple mixed effects models on imputed data

I have a dataset that has 6 metabolites that were measured over time in two groups and using a mixed-effects linear model I would like to investigate the group differences for each metabolite. Since the dataset contained missing variables I did…
CST
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Caveats regarding the choice of the elementary panel model

Lets compare three panel most basic models: pooled, random effects, fixed effects. I observe common belief, that the fixed effect model estimation is "less biased", than in the other models. The only cost of this model is said to be less…
cure
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