Questions tagged [age]
The age tag has no usage guidance.
31
questions
1
vote
1answer
40 views
Binary classification for imbalanced distribution of target/response class for age
I'm trying to build/train model that depends on many attributes where age is the most important one (it has significant impact on AUC).
Overall target class count is quite balanced (+40% vs. -60%) ...
0
votes
0answers
24 views
How to compare age-distributions across years within longitudinal datasets?
I'm a bit uncertain and I would be very grateful for some assistance.
I have a longitudinal dataset of patient medical records between 2000 and 2016. These records contain clinical event dates and ...
0
votes
1answer
20 views
Predicting risk factors
i'm trying to find predictive risk factors
i already found out that young age at diagnosis is a risk factor ( binary logistic regression) But now i want to know the exact age when the risk is highest....
1
vote
0answers
76 views
How to do a survival curve adjusted to age in SPSS?
I have to do a survival curve comparing 3 diseases. Already did a Kaplan Meier since time of diagnosis, and the log rank was p-0.001; however I suspect that it has to do with age (one disease is ...
0
votes
1answer
123 views
How to control for age in analyzing longitudinal data using mixed effects regression
I am analyzing a longitudinal dataset. Elderly subjects perform a cognitive test once a year, for five consecutive years. I want to know if there is a decline in their performance through the study ...
1
vote
0answers
48 views
Analyzing tritomous categorical variable between- and within-groups
I have data examining a decision task across age groups. For the decision task, responses are categorical and coded into 3 possible decision types (A, B, C) that are mutually exclusive and exhaustive ...
1
vote
0answers
19 views
relationship between male gender and age variance
I would like to ask for help on the next question:
In a logistic regression model, the male gender increased the risk of acut myocardial infarction at older age population, but in the young age ...
1
vote
0answers
22 views
Age-adjusted rate across many years
I have incidence-level data for heart disease that includes patient age and region. I calculated disease counts by region and now I want to calculate an age-adjusted rate for each region.
The data ...
2
votes
0answers
65 views
Including both Age and Year in mixed effects model?
Study
Longitudinal study of forest GrowthRates across time.
28 plots across 80 years, ~14 samples for each plot.
Current model:
...
2
votes
0answers
598 views
Is it possible to adjust age and gender with binary logistic regression for a continuous dependent variable?
In my study, I have two groups and compared them in terms of blood stem cell levels, which was not distributed normally. For adjusting for age and gender when comparing groups, it is suggested to use ...
2
votes
0answers
88 views
Survival Analysis - age censoring/bias in independent categorical variables
I suspect that this is a - if not trivial - common question that betrays me as a newbie. Anyhow, here goes...
I have data that reflects behaviours of different demographic groups.
There are 10 ...
0
votes
1answer
33 views
Longitudinal design: Which method to use if the dependent variable was measured during fewer occasions than the predictors?
I have a longitudinal dataset with 8 repeated measurement occasion and approximately 100 cases. Some of the explanatory variables are time-variant, other stay the same over time. Some might be ...
0
votes
0answers
132 views
How can i Age adjust the proportions of my covariates in a multiple stratified data set?
I am doing a cross sectional analysis in a huge data set.
The initial descriptive analysis is stratified by gender, 4 calendar periods and smoking status which gives me the proportions within the ...
1
vote
0answers
30 views
Modelling nonlinear change of outcome in population with unbalanced longitudinal data
I would like to flexibly model the development of some continuous outcome of interest as a nonlinear function of age, using longitudinal data with rather strong imbalance (i.e., most individuals cover ...
0
votes
1answer
206 views
Regression analysis with raw value or age related t score
I’m planning a regression analysis. The outcome is the score of an achievement test. Assuming there are 120 items and a person has answered 90 items correctly, the person gets a raw value of 90. This ...
1
vote
2answers
1k views
Interaction of risk factor with age in survival model with age as time scale
I'm currently looking into survival analysis regression models and can't quite wrap my head around the following:
Say I want to model time to occurrence of a cardiovascular event and use age (as ...
1
vote
0answers
53 views
Kruskal-Wallis across 3 groups non-significant, but regression of the same data very significant
I have an issue regarding the significance of an association that I can't seem to get my head around, because using one statistical test it is significant and using another, it is non-significant (...
2
votes
3answers
4k views
Comparing the age distribution of two groups with different sample sizes
I have a dataset regarding a hotel. I am trying to compare the age distribution of two groups: Leisure and business. The sample sizes of these groups are not equal. The business group has 12.4k ...
1
vote
0answers
106 views
Best way to calculate a specific median
I have a strange question about calculating median.
Context :
I have a listing with people who subscribe to an insurance :
They subscribe from DATE A
to DATE B
(at date B, they leave because they ...
0
votes
1answer
773 views
how can I calculate age-adjusted z score?
I'd like to know if there's a way to calculate z-score adjusted for age in SPSS.
then, I want to use age-adjusted z-score as a dependent variable in path analysis.
2
votes
0answers
54 views
Life table based on age groups
I am working on panel attrition (loss of respondents at each wave of follow-up of a longitudinal survey). A multivariate model (discrete-time event history analysis) to analyse panel attrition is ...
1
vote
1answer
4k views
How to calculate age and sex-adjusted z-scores in SPSS
I have a large data set in SPSS which includes triceps skinfold measurements for children at various ages. I would like to create z-scores for these measurements which adjust for sex and age... is ...
3
votes
1answer
150 views
Getting the optimal age cut off
I am working with a database of diseased and non-diseased patients.
I would like to recommend an optimal age cut off for disease screening. The common problem with screening is that it creates a ...
7
votes
2answers
28k views
How to find average and median age from an aggregated frequency table
I am using excel and I am trying to find both the average age and median age. I have two columns. 1 for the category and the other for the number of people in each category.
...
2
votes
2answers
2k views
Controlling for age in multiple regression
I am a little stuck on what how to implement and interpret a multiple regression while controlling for age.
I am interested in seeing if there is a positive relationship between depression and use ...
0
votes
1answer
133 views
Estimating age distribution from first names
Is it possible to estimate an age distribution of a specific population (e.g. actors, customers, etc.) from a list of their first names? Given that data of the number of individuals grouped by birth ...
2
votes
0answers
84 views
How to treat age-specific left-censored data
I would like to study how the death of a respondent's parent affects his personality (or whatever DV). I have an age of respondent, and also an age when respondent lost his parent. The problem is that ...
1
vote
0answers
73 views
The best estimate of age of a person in social network
Suppose that we have any social network (i.e. we know who is a friend of whom) and for some nodes in the network (i.e. the users), we also know their age (but not for everyone, as in a real network).
...
7
votes
2answers
136 views
Is there a word for the phenomenon that the old are generally less affected by risk factors?
In epidemiology, this occurs often: Old people are less prone to the influence of risk factors. For example, the Framingham risk score, which tries to estimate cardiovascular risk, gives 8 or 9 points ...
3
votes
1answer
2k views
Pros and cons of controlling for age when examining effect of cognition on driving performance
I am reviewing some studies on the relationship between cognition and driving. Some studies have controlled for age and some have not (age is correlated with cognition. Can anyone please provide any ...
1
vote
2answers
2k views
Re-check boxplot after outlier removal
I have a sample of 608 subjects and I need to remove outliers for age. In R, the boxplot appears like this:
It shows 74 outliers:
...
