Questions tagged [intervention-analysis]
Intervention analysis estimates the effect of an external intervention on a time-series.
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Time Series Intervention Analysis with armax function
My aim is to quantify the effect of an intervention on a time series of outcome-measures. For that, I tried to follow this blog post:
https://www.r-bloggers.com/time-series-intervention-analysis-wih-...
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1answer
27 views
How to control for within-subject covariate in a single-arm, mirror image study design?
I have a mirror image study which consists of one group of subjects, and they have a measure before and another measure after an intervention.
Depiction:
Single group: Measure#1 -> (Intervention) ->...
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1answer
31 views
Interrupted time series analysis for short time series in R
I am trying to analyze the effect of an intervention on the same outcome in different countries. In addition, I want to control for other time-varying variables that could potentially affect the ...
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1answer
65 views
Introduction into interrupted time series (intervention analyses for time series)
I am looking for a good introduction into or an overview about interrupted time series or intervention analyses for time series. Perhaps also considering change point detection or event study analyses....
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1answer
41 views
How could I statistically measure the impact of an external event in a time series?
I have a timeseries of monthly sales data, by account for a single product. It looks something like:
Sample Data
I'm trying to quantify the impact of a new marketing campaign in June. Some of the ...
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11 views
How best to construct an indicator variable to capture the effects of an intervention? [closed]
How should one construct an indicator variable to properly capture the effects of an intervention?
If an intervention like the 2008 bailout (TARP-Economic stimulus) is to get proper credit for the ...
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12 views
Analysis of parallel arm study
I have a two arm intervention study (Arm1: Exercise only, Arm2: Exercise plus diet). Aim of the study is to compare the influence of exercise and diet as compared to exercise only on weight (...
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37 views
Quantifying impact of event/intervention on time series data
Just want to find out if there are some sort of statistical measures to quantify changes in time series data. Particularly in situations where there is some sort of impact that changes the time series ...
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1answer
168 views
Estimate the time series like an event was never happened
I have data from a website where a specific advertising campaign happened a couple of years ago. What I want to do is to estimate how the signups on that website would have been without that big ...
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26 views
Two simultaneous time series vars. Want “confidence” intervals for one's prediction (not forecast per se) of the other
Let me know if this is a duplicate.
This seems to differ from other time series questions I've seen in that I'm not trying to forecast the future. Maybe that will mean only a difference in the ...
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18 views
intervention analysis with multivariate regression
Does intervention analysis make sense when one has multiple external regressors? How would one know if say, a level shift, is caused by a combination of external regressors or by a change in a law ...
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11 views
elastic net with random interventions
Since elastic net gets rid of regressors that do not correlate, would it make sense to randomly put in a bunch of interventions (pulses, level shifts, ect)?
If the intervention is not needed, won't ...
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132 views
CausalImpact Conflicting Results - Posterior prob. v Confidence Interval
I'm getting conflicting results from a Causal Impact analysis I'm running. The 95% C.I. indicates that 0 is included and thus the impact is not significant; however the Posterior Probability is <....
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105 views
How should I specify seasonality in CausalImpact? [closed]
I am working with the Python implementation of Google's CausalImpact package. My data is at daily frequency (365 observations per year); however, to inspect the effect of intervention, my pre-period ...
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25 views
Pre post intervention analysis
I have a theoretical question about a fabricated before-after analysis with Intervention and Control groups based around a new testing method. In addition to the treatment groups and time (before and ...
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1answer
26 views
Before/After unpaired study with control villages analysed in R
For the implementation of a project, we have been following household access to services in two groups of villages, one an intervention group (I) and one a control group (C). Access as a Yes/No ...
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Before - After survey testing with a control group, how to analyse
Sample size in intervention area n=800
For the purpose of measuring progress on the proportion of families having access to a service (yes/no variable) by households in eight intervention villages, a ...
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8 views
Testing Response Model
I'm thinking about strategies to examine how well a churn model performs. And, I know one question I'll receive is can we just target customers in the top decile of the churn model to evaluate model ...
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Estimating Policy Effect with a Logit
So I am testing a policy which was introduced in a country trying to incentivise people to stay employed at older ages (beyond the retirement age of 65). As such, they introduced a bonus where people ...
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1answer
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Testing an intervention by repeated measure of opinion before and after the intervention
How can we test the null hypothesis that an intervention has no effect on opinions for 44 people. These opinions were measured as frequencies in 3 categories (A, B, C) before and after the ...
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8 views
Medical or Intervention Study
A friend and I are trying to better understand proper design of a randomized trial, from beginning to end, with an eye to creating an informal one showing the benefits of a particular academic ...
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35 views
Pursuing meaningful questions about pre- post- intervention outcome measures in single condition treatment
If you are not fortunate enough to have a control group and have a single condition only, what meaningful questions can you ask about the change in pre to post intervention scores?
If ANOVA or ANCOVA ...
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1answer
79 views
Does statistical significance impact uplift calculation for marketing campaign
I'm trying to understand 2 things in relation to calculating uplift from a marketing email campaign:
Impact of statistical significance
Impact of highly skewed data on calculating uplift
The ...
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intervention analysis on several time series samples where intervention occurs at different times
I have quarterly sales data for ~80 products spanning 4 years. I also have 16 different external interventions, where one or multiple of them have occured on the products on different dates during the ...
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32 views
Statistical analysis for quasi-experiments
This is my first message on this forum. I hope I am not doing any mistake.
I must analyze data obtained after a quasi-experiment and I am not sure how to proceed. The experiment has been carried out ...
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2answers
536 views
Interrupted Time Series Analysis with multiple Intervention timepoints
I was wondering if it is possible to do a interrupted time series analysis with an intervention that is introduced and removed at specific intervals throughout the time-series.
All of the literature ...
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0answers
34 views
Determine how long the effect of x on y may last in time series data
I have a time series dataset that contains variable x and y per month (180 rows). x represents incidents that happen infrequently and y is a continuous variable. However, when there is some incident y ...
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Can I compare daily averages using a T test?
Pretend you had a sales group that was required to perform a bunch of administrative work for every prospect they contacted. E.g., entering the prospect's contact info into a CRM, researching the ...
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1answer
64 views
Validating A Model On Pre-Test Post-Test Design
I am phd candidate at primary education department. My aim is to validate a model but i have not find a exact answer yet.
I have 2 groups. (Actually 4 but only 2 of them are going to use to validate ...
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1answer
72 views
Are high schools dumbing down their exams? I don't know. How can we find out?
I have a large-ish longitudinal dataset of high school and college course registration and grades. I want to test the assertion that high schools are "dumbing down" their courses to meet graduation ...
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1answer
24 views
How to manage fusion of firms or countries in time series analysis
I am working with time series analysis and one of my series is loans of a very large bank between 1970 and 2015. However in 2000 that bank, acquired a smaller bank. I only have the data for the big ...
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30 views
Methods to account/correct for dropouts in intervention study
I have depression scores for patients before and after intervention, there is no control sample. I want to assess if demographics have an effect on recovery, and I was thinking of doing a linear ...
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3answers
110 views
Hypothesis test for intervention with class imbalance before intervention. Alternative to McNemar
I want to assess an intervention to cure a disease. An example is described by the following matrix:
...
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1answer
127 views
How to statistically determine if there was sales lift?
Say my company is about to make some changes that they expect will increase sales and customer acquisition in current markets, what would be the best way statistically to determine if that lift was ...
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3answers
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Pre- and post-values for two groups randomly assigned to either intervention or control
My project aims to see if sitting for an hour temporarily slows movement in patients with movement disorders.
I have two groups (20 sick patients and 10 healthy patients) who are randomly assigned ...
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1answer
119 views
Can a random slope in a linear mixed model mask the effect of my intervention?
I want to assess the impact of my intervention in a repeated-measures design. I have subject as a random intercept in order to account for the dependence of measurements within subjects:
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112 views
Measuring impact of intervention using a counterfactual forecast?
I'm an economics student who's trying to dive into causality. I've tried looking into intervention analysis, but I can't seem to find many sources on forecasting using historical data as an approach.
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Analysis of Pre-post Likert-type scales: Intervention vs. Control group
I gathered the following data:
Intervention group (n= 24, received treatment): pre- and post- scores of different psychometric questionnaires
Control group (n=23, inactive): same questionnaires, same ...
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68 views
Time Series Data: Unequal Sample sizes
I have a dataset which consists of daily observations over a 3 month period for different variables. The data are aggregated so I do not have access to user level data.
The problem is that the ...
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32 views
Determining relation between branding spend and sales growth
A company exports a units of product to a distributor in a foreign country. This distributor then sends units to dealers across the country who run shops that sell the product.
Until May 2017, ...
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145 views
Statistical Significance of Time Series Data pre and post intervention
I am currently working on data in which I have to see the rate of entry of children to a foster home is statistically significant or not before and after a welfare program was implemented. I got the ...
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1answer
55 views
Looking for techniques to understand the impact of a discrete events (interventions) on a continuous response variable in time series
I am trying to model the effect of one or more discrete interventions (e.g., taking a pill, attending therapy) on a continuous outcome (e.g., pain level of a patient over time). The features are ...
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1answer
279 views
Is a Chow test appropriate for this intervention analysis?
I am fairly new to R was wondering if this approach was appropriate. Sorry if I forget anything in my question.
I have long-form panel data for 15 years (2001-2015) for hundreds of counties and ...
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1answer
992 views
Comparing slopes in a time series following an intervention
There are lots of related CV questions to the title above, but I'm looking for some clarification on a specific approach, and some explanation.
The set up is as follows (adapted from another question)...
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1answer
2k views
Linear Regression vs. ARIMA
I have a data set that was sampled at a high frequency relative to the speed over which changes are expected to occur. This has resulted in high autocorrelation between adjacent values upto a lag of ...
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1answer
524 views
Repeated measure ANOVA vs independent 2-sample t-test
I have this data where I have a control and an intervention group. For both of these two groups, I have a continuous outcome measured at baseline $(y_0)$ and at 1 month $(y_1)$. To test for the ...
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1answer
175 views
Casual Impact Analysis with Linear Regression - Interpreting Results
I have two groups of customers. One received a promotion another did not. I want to determine the effect of the promotion. I created a simple linear regression with a dummy variable for weekend.
...
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2answers
147 views
How to analyze trends of multiple patients' data before and after an intervention
I have data for 200 patients' blood sugar levels before and after an intervention. There are multiple readings both before and after the intervention.
In order to see if the intervention had a ...
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Pre/Post Analysis - questions about covariates
I am trying to evaluate the impact of an intervention (0/1) on readmission rates pre- and post-intervention. Every individual has a pre-period rate and a post-period rate.
A few important points:
1. ...
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Choosing a test to compare means within a sample
I have blood sugar values for diabetic patients over the past few years from a clinical practice. Half way through the observation period, a treatment intervention was applied to all of the patients. ...
