Questions tagged [bias]
The difference between the expected value of a parameter estimator & the true value of the parameter. Do NOT use this tag to refer to the [bias-term] / [bias-node] (ie the [intercept]).
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Statistical analysis to interpret beta effect size for two different elastic net model
I have two elastic net model and I want to compare their coefficient to say if they have any significant beta effect changes across these two models.
I thought of using Anova but realized since we don'...
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Best way to address selection bias when outcome cannot be randomized
I have an (low incidence) binary outcome compared between 2 groups. The intervention for group 1 is coming from a specific type of center (academic) while group 2 from a different center. It is not ...
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Test for Look-ahead bias in Time Series Forecasting
I have a general question regarding testing for look-ahead bias. Is there any technical test for look-ahead bias in training data? Especially in the context of time series forecasting e.g. predicting ...
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Notable changes when modeling unevenly univariate spaced time series as an evenly spaced multivariate time series?
When attempting to model univariate data (although, this could easily be extended to the multivariate case) that is unevenly spaced over time, a natural approach to be able to apply common time series ...
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Difference between consistent and unbiased estimator [duplicate]
I have a problem where I have to think of an example to explain a practical example of consistency and unbiased. The example I thought of is the sample mean.
Consistency is when the estimator (sample ...
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Proof of attenuation bias in multiple linear regression model
Consider the case of measurement error with a single explanatory variable measured with error
\begin{equation}
y=\beta_0 + \beta_1 x_1 + \beta_2 x_2 + ... + \beta_k x^{\ast}_k + \nu
\label{...
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Is it possible to use poststratification when some observations have missing values on the variables used as strata?
This is a theoretical question, so I don't have data to share.
Let's say I know the percentage of men and women in my population of interest, as well as the distribution of occupations and age ...
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Providing biased data to analyst -- how could they use information about the bias? [closed]
I'm working on a project that provides an anonymized dataset to a service. Clients of this service will often use our data to make inferences to the population it's drawn from.
Our data is known to be ...
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Regress y on residuals of x and z [closed]
I have the following set up:
$y_i = \beta_0 + \beta_1 x_i + \beta_2 z_i + e_i$, where $e_i$ is extracted from a Normal (0,1) distribution independently of $x$ and $z$. The true values are $\beta_0 = \...
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Determine direction of bias with measurement error
We want to estimate the following population model:
$$y_i=\beta x_i+\epsilon_i$$
with $E[y_i]=E[x_i]=$ and $E[x_i\epsilon_i]=0$. We cannot observe $x_i$ directly, but we observe two variables $x_i^a$ ...
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Bias in survival analysis: nice summary of all the different types and remedies
I am quite new to the field of survival analysis and am getting lost and confused with all the different types of bias that can occur, particularly in observational studies. For example, it appears ...
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Is there any bias introduced by evaluating a model and decisions based on this model on the same data set?
As an example, let's say we have some financial time series such as closing prices of some stock and we would like to evaluate the ability of different models to forecast future closing prices as well ...
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Variable selection with a theoretical DAG vs algorithmically discovered DAG
I'm analysing data from an electronic health record and determining what variables to include in a model to close back doors and omit bias.
I've read that it is important to have a subject specific ...
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What type of bias is this?
I have a longitudinal cohort study, with individuals that diagnosed with Disease A at "start", and they all developed Complication B at "end" in my study period (my study period ...
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How to compare two multivariate distribution (of distances) to zero in terms of mean and variance in R?
We have N 3D coordinates estimated with two methods and want to compare them with a reference set of N 3D coordinates which is the ground truth, so in notations:
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