# Questions tagged [intervention-analysis]

Intervention analysis estimates the effect of an external intervention on a time-series.

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1 vote
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### Modelling longitudinal pre-/post-intervention data

I have longitudinal data of a number of patients for which some biomarker was measured at irregular time intervals over the course of several years before treatment and over a shorter period of time (...
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### How to estimate the parameters of an Intervention model for time series

If we consider the simple of a single intervention: $$Y_t=m_t+N_t$$ where $m_t$ is the change in the mean function and $N_t$ is modeled as some ARIMA process, possibly seasonal. I have been trying to ...
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### How can we apply sensitivity analysis in comparing two ARIMA models, both measuring intervention effect?

I have a dataset of reporting rates collected over an 8-month period obtained from the baseline (4 months) and during intervention (4 months). The goal is to determine if the intervention has a ...
59 views

### Modeling longitudinal change in outcome per unit of change in a continuous explanatory variable

My question is related to How do you deal with "nested" variables in a regression model? However, my issue is slightly different. I'm analyzing RNA-seq gene expression data (>10 000 genes)...
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### Please can I have some guidance on analysing policy change on time series data?

Firstly, I am not a statistician, merely a consumer of statistics (NHS Pharmacist). I am undertaking a project looking at the impact of a new clinical test on antibiotic prescribing across multiple ...
1 vote
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### Assessing bivariate change (pre- and post-intervention) when sample size is small and there is no control group?

I have data from a randomised control trial of approximately 60 people (30 people in the intervention group, 30 in the control group). I would like to assess whether change in one variable (M) is ...
• 309
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### can I use causalimpact (BSTS) to forecast without an intervention?

As a data scientist without much formal training, I'm looking to get some professional feedback on the following question: Is it ever advisable to use causalimpact (or I guess BSTS generally) to ...
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### Statistical Test or Regression for Intervention Effectiveness?

I'm looking to model the effectiveness of an intervention on human behavior. I have control groups and treatments groups for the outcome of interest and pre and post measurements (just 1 for each) for ...
1 vote
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### How to handle previous interventions within the pre-period of the same time series using causalimpact?

Below you can view the univariate sales dataset for a particular product with x3 promotional interventions/campaigns (highlighted in grey and green); each promotion campaign stretched for a length of ...
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1 vote
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### What do we exactly mean by P(Y=y|do(X=x), M=m)?

I know that P(Y=y|do(X=x)) is different from P(Y=y|X=x) in that the former is an interventional probability where the intervention is applied to the entire population, whereas the latter is a ...
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### Does "Regression Discontinuity" Require the Presence of an Intervention?

I have been trying to learn more about "Regression Discontinuity". This appears to be a statistical method designed at testing the effectiveness of some sort of intervention. The Wikipedia ...
845 views

### Testing the impact of a events on time series

Context I'm working with product data for a retail company. I have the daily impressions (number of times it was viewed online) for all products over a 30 day period (can get more data). Here is the ...
1 vote
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### Compare subgroups on before and after intervention

Assume the following research experience. A group of researchers went to a school. On the first day, they gave a questionnaire about a topic for the students to fill. The next day, the researchers ...
110 views

### Comparing intervention/control group

I am planning to conduct a study which is based on an RCT design. I am intending to conduct an intervention. During this intervention, participants and control group enter some medical data on daily ...
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1 vote
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### Interrupted Time Series Design with multiple groups

More of a conceptual question The standard ITS design is pretty simple, regress: Y ~ Time + Treatment_Dummy + Time_Since_Treatment However, what if the scenario was ...
1 vote
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### Propensity score matching sample size

I am considering doing a propensity score matching to evaluate the effectiveness of a intervention. However, i only have 193 cases in my treatment group. I have a lot in control group. My outcome is a ...
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1 vote
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### Best way to compare income of two groups of people over time

I am planning a research study where, among other things, I want to understand how an intervention changes income in two groups. I plan to collect income data from each individual at three time points....
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1 vote
629 views

### Compare paired before and after composition proportions

I have some data on the composition of purchases by households, before and after an intervention. This composition is known at the number of items or amount spent level within 7 categories, and can be ...
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### Finding lagged time series effects

I have a time series with the number of customers and discounts. I suspect that the percentage of discount has a postponed effect. I tried just lagging the variable and calculating the correlation, ...
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### Causal Inference Short Time Series

I am trying to analyse causal inference associated with an intervenion using either Difference-in-Differences or Interrupted Time Series Analysis. I have a discrete time series consisting of data ...
1 vote
701 views

### How to decide on parameters for transfer function in intervention analysis using ARIMA?

I'm very new to Time-Series Analysis and ARIMA so, although I've read a ton of stuff trying to figure it out, I'm sorry if this has already been answered elsewhere. I'm doing an analysis that's very ...
1 vote
497 views

### What does the superscript triangle (△) symbol mean in graph/causality notation?

I am reading a paper called Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness and in stating a proposition the authors use a triangle superscript ...
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### Omitting dummies in panel regression?

I am running a regression studying the effects of different interventions (which appear as dummy variables - they either did or did not have that particular intervention). I don't have a control group ...
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### How can i use an ARIMA model to explain the an effect of news regarding COVID-19 on a stock market index?

My thoughts were to model the time series of the stock index up until the particular day for the news I am looking at and forecast using my model. Then I would compare the forecasted result to the ...
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### Influence of TV spots on the number of visits to the website (time series problem)

I have hourly data regarding the number of visits to the website. A single record consists of date, time(0-23) and number of visits. In a separate table I have data about the display of advertising ...
54 views

### What kind of analysis to use to compare time series trade data

I have a time series data set that gives me the adjusted imports and exports for the period 2003-2016. Suppose a trade agreement was signed in 2009. I want to compare the bilateral trade before and ...
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### Time series (or Survival) analysis looking at effect of multiple policy changes over time

I'd like to look at the effect of lockdown policies(announcements) over time on features of the COVID-19 epidemic. I'm not very familiar with different time-series, so i'd like advice on what type of ...
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Consider an experimental situation where each of $n$ participants are randomised to one of two treatments (e.g. active versus placebo). Our measuring device is known to have some variability in the ...