Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [mcar]

17 questions
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2 answers

Dataset having about 1% missing fraction, missing completely at random. How would I address the missingness of the dataset?

I have a dataset comprising of 1% missing fraction where data is missing completely at random. How would I address the missingness of the dataset with a multiple imputation technique? For example, is it best to use Multiple Imputation with Chained…
Matt.W
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1 answer

Is data that has been entered incorrectly treated the same as missing data?

I am doing an online study and have just started looking at the data. I noticed two of my participants have listed ages that they couldn't possibly be (e.g 450 and 220). I'm wondering what the appropriate way to handle this is? Age isn't the main…
Riss
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1 answer

MCAR, MAR and EM

I have a binary(1/0) classification task. I am trying to find $p(y = 1 | X)$ where $X$ is the vector of input variables and $y$ is the binary output label. Suppose that for some records the output labels ($y$) are missing. Scenario 1: Labels are…
Cagdas Ozgenc
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should you include DV in MCAR when missings are found in IVs?

can anyone please help me with this question, can't find a satisfactory answer on the stats sites. A reviewer of one of my articles commented that I should include the DVs in my MCAR analysis. But i only have missings in my IVs. thanks
Joan
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3 answers

How to interpret MCAR (missing completely at random) any papers that I can read?

When dealing with missing data and Little's missing completely at random test, it's widely considered that if the test has a significance level of P>0.05 the data can be considered as MCAR. But, I can't find a single paper that confirms that…
Pretty_Girl
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How to identify whether my data follows "Missing At Random" (MAR) mechanism or not?

I was having two similar studies with two variables (anti-gE and anti-VZV (continuous variable)) linearly related to each other (with same relationship between both the studies in anti-gE and anti-VZV) respectively.In one of the study all values of…
PRASANNA
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MCAR test for large number variables and small sample size

I have a dataset with 101 observations and 402 columns (those columns comprise several multiple-item questionnaires). Among those 402 columns, 10 of them are categorical and the remaining are continuous. There are 82 observations without missing…
adonies
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Adjusting n after using pairwise deletion

I am using pairwise deletion to compute the correlation matrix of a data set. I think this approach is appropriate because: I have well under 10% missing values (~2%) I have only around 50% complete cases (so casewise deletion disregards too much…
bmrn
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How to select variables for Little´s Test?

Lets assume there are 150 variables in a Dataset. For my analysis I only use around 50 of them. Of those 50 variables, there are 18 Variables which contain missing values. How should I perform the Little´s test? Should I include all 150 variables or…
Julia
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Missing at Random vs Missing Completely at Random

From what I understood: MCAR - missingness do not depend on the values of Y (observed or missed) MAR - missingness depends only on the components of Y that are observed, and not on the components that are missing. Question: Is MAR more restrictive…
Tiago Dias
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Little's MCAR test Chi-Square =.000

I am trying to understand the results of my Little's MCAR test (SPSS 26). Chi-Square = .000, DF = 2113, Sig. = 1.000 As much as I have read articles reporting Little's MCAR test, nobody reports Chi-Square = 0.00 and p = 1.00, so I assume that I…
Sirkake Liisuke
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All items missing for various questionnaires

this is actually the first time I'm working on a big dataset and I really hope someone can give me some advice on how to handle missing data. I tried to find information regarding my problem but can't find any blog with the same issue. I'm working…
Corinna Zink
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MCAR NA imputation

I would like to create a MCAR database in R from an existing complete one. I would like to have only some variables with NA observations, here's the code I used: data <- master set.seed(685) prop.m = .15 mcar = runif(length(data[,1]), min=0,…
ArTu
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How to test that your missing data is completely at random (MCAR)

I am doing a secondary analysis of data from a local trial (N=450, mean follow-up longer than 10 years). I am specifically looking at a secondary outcome (diagnosis of hypertension) after 10 years from the start of the trial. My problem is that the…
Vincent
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Little's MCAR test: why must missing values be random?

When we have data with a lot of missing values, as I see it, the missing values are likely to be observed with some systematic properties. Maybe some sex is more likely to not answer a question and leave it blank, compared to the opposite sex, and…
Erosennin
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