Questions tagged [kaplan-meier]

The Kaplan-Meier estimator is a common non-parametric method for survival analysis and for plotting survival graphs. The survival function $S(t)$ calculates the probability of survival past time $t$. It is most useful in comparing the survival of different groups while properly handling censored data.

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Why univariate Cox does not have its own survival curve and has to use KM curve as approximation?

I am aware that KM-estimator and Cox model use different method. However, I am under the impression that we show KM curve as approximation of univariate Cox model. My question is why univariate Cox ...
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32 views

Relationship between KM-estimator and Cox model

What is the relationship between KM-estimator and Cox model? What I am aware is that Cox model allow us to adjust covariates. If I build a Cox model and draw a KM curve (using survdiff function). ...
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time to event analysis /survey analysis for panel data with R [closed]

I wanna calculate a cox regression with R. I like to calculate the survival probability for countries. I am interested in the survival time until a country becomes autocratic (or the time in which the ...
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19 views

Truncation versus censoring with Kaplan-Meier

I am trying to run Kaplan-Meier on a rather odd dataset and am having difficulty determining whether I should be truncating or censoring my data. I have looked at the other feeds, including this very ...
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Interpretation of Kaplan-Meier curves with several groups in R [closed]

Got an assignment that we should interpret different Kaplan-Meier curves and the ouput from R looks like this: . The P-value tells us if the Groups are significantly different from eachother(correct?)...
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Advantages of using Cox model versus logistic GEE?

What are the advantages of using Cox proportional hazards model versus logistic GEE? Can one generate Kaplan-Meier remainder estimator curves using logistic GEE?
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Personal-Level Data vs. Time-Series Data for Kaplan Meier Survival Analysis

I currently have a person-level data set. By which, I mean each data entry is the most recent information about that individual. I have 350 thousand individuals which means I have 350 thousand data ...
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Kaplan-Meier and Cox in R give different results

Please, can you explain, why these two formulas give different answers? Is this because Cox is a semi-parametric method and KM is non-parametric one? I marked the differences with asterisks. Kaplan-...
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Is there a way to compute the Kaplan-Meier mean for left censored data using lifelines in python? [closed]

I am using the lifelines python package to fit Kaplan-Meirer models to left-censored environmental data. I am computing the mean using lifelines.utils.restricted_mean_survival_time(m,t) where m is ...
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10 views

Bivariate Kaplan-Meier Estimator

Are there any builtin functions or packages in R which calculate the Kaplan-Meier estimator in two dimensions? For example, consider observed quadruples of failure/censoring time pairs and failure/...
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Left-Truncated Right-Censored Cox Proportional Hazard Regression

If I have a left-truncated (remove everyone who has disease at baseline) and right-censored (1 if the person develops disease, 0 else). Time to event = min(age censored, age at disease diagnosis) ...
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Kaplan Meier Retirement Analysis

Scenario: I am trying to find the probability someone retires at a specific age using the survival probability package in R. The way I am trying to frame this study is by only looking at individuals ...
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1answer
59 views

Different Results From R's Survival Library and Python's Lifeline library [closed]

I have a dataset that I'm trying to perform basic K-M survival analysis on. I initially used the Python package lifelines to perform the analysis. To double check my results, I also then used the ...
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1answer
27 views

Probabilistic estimates of Kaplan-Meier curves using S(t) and std.err for each time point

I am working on a survival analysis where I am fitting different parametric models to survival data. Varying the models that I have fit to the data is straightforward, via Cholesky decompositions- but ...
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27 views

Comparison Kaplan Meier survival across different time periods

I am familiar with the log-rank test for comparing multiple Kaplan-Meier curves, but I am looking for a test that will show a trend between groups. Lets say the groups are patients seen at different ...
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34 views

Inverse probability weighted Kaplan-Meier for left truncated data

Is there any R implementation of inverse probability weighted Kaplan-Meier estimator for left truncated and right censored data? I found only implementation without left truncation in IPWsurvival ...
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1answer
65 views

Kaplan Meier for Annual Survival with Staggered Entry

I am carrying out survival analysis for two populations of mammals. The data available is GPS collar data: date collared, date of death or date of end of study. I am using the non-parametric Kaplan ...
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Survival Analysis - Describing Results from KM to Cox

I am familiar with the basics of survival analysis although I am stuck in organizing my figures for presentation. I constructed an adjusted KM curve and stratified my covariate of interest by the ...
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1answer
44 views

Survival analysis without observing survival times [duplicate]

I have a cross-sectional dataset in which, for each participant, I know their total exposure time and whether they experienced an event during their exposure time (1/0). However, I do not observe the ...
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1answer
58 views

Kaplan-Meier for interval-censoring data

I would like to ask if someone encountered the problem with a specific form of interval data in survival analysis. How to perform the preliminary analysis (for instance Kaplan-Meier estimator) of ...
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28 views

Is there a way to create a Kaplan Meier curve with multiple events, rather than one occurrence?

Thanks in advance for any advice regarding my question. I have KM curves created for probability of (not) getting an infection within our patient population. I am wondering if there is a way to ...
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73 views

Time Series Classification and Survival Analysis for Forecasting with Bayes propability (for R)

I'm not sure that I posted in the correct forum. If it is wrong, tell me where should to ask my question. i found this article, https://www.academia.edu/36173525/...
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1answer
74 views

Estimate for the standard error of the probability of a residual lifetime

Suppose that we estimate the survival function using the Kaplan-Meier estimator. Based on that KM-curve $\hat{S}(\cdot)$, one can then estimate the probability that the residual lifetime is larger ...
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Kaplan-Meier plots in R [closed]

I have generated the following clusters. Now I want to compare 3 groups in terms of survival. I am wondering how to create 3 groups based on "scores" and draw KM plot. Codes: ...
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1answer
132 views

Should we freeze the number of people coming in to the study for Kaplan-Meier test

I'm conducting a Kaplan Meier study to determine user retention for a website. I'm planning to limit my timeline to 6 months and see how many users are dropping within that time period. And if a user ...
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29 views

Standard error of conditional survival probability using delta method

I need to estimate the standard error of the conditional survival probability using the delta method. I fitted a kaplan meier curve for these probabilities.I know how the delta method works, I just ...
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48 views

Kaplan Meier Diagnostic Utility

I'm trying to understand a paper that claims to have identified a gene expression signature that can distinguish primary from metastatic tumors. The authors stratify their data into patients with and ...
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1answer
57 views

Kaplan-Meier method or estimator?

This is a really basic question. I say Kaplan-Meier estimator and always tell people to say estimator and not method or methodology. However, I've seen a few places where statisticians also say Kaplan-...
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1answer
39 views

How to interpret the survival analysis results based on summary results?

I have a gene CFAP97 with expression values and clinical information like FollowupDays and patient_vitalstatus. Using the gene expression data first I classified ...
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1answer
38 views

Survfit function with regression

I'm having trouble understanding what estimator the survfit function produces. For example, if I call ...
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1answer
875 views

Why median is NA for some of the group outcomes in survival analysis?

I'm trying to do survival analysis using the Followup information, patient_vital_status and the expression of gene. I'm using like below: ...
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75 views

Relation between hazard function and Kaplan-Meier survival curves

Could someone please explain intuitively and mathematically the relation between hazard function and Kaplan-Meier survival curves? If there is a relation, please give and example of deriving one from ...
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2answers
54 views

How to properly do a Survival analysis - Question about start times

I have a monthly report that lists transactional errors made by facilities all over the country. Each row is a single error and the columns represent descriptive information about each error (ID, ...
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2answers
288 views

Schoenfled Residua test shows proportionality hazard assumptions holds but Kaplan-Meier plots intersect

"If Kaplan-Meier plots cross each other then proportional hazard assumption does not hold". The issue I am facing is that I got the Kaplam-Meier plot(bleow). We can clearly see that it is overlapping. ...
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Survival analysis of two dependent variables (hatching time and total life duration)

I strive to find the best approach to analyse survival data from an experiment where random samples of fish eggs (sample size 30) were put into 3 different solutions of 8 heavy metals (total 24 ...
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134 views

Log-rank test for survival data in counting process form in R?

Background: at half-year follow up times for 4y, patients may switch to a different medication group. To account for this, I've converted survival data into counting process form. I want to compare ...
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85 views

Multi State Models to analyze/plot disease progression and probability of being misdiagnosed

Let's say that I have the following dataset containing information for 100 patients that have been followed up for a certain number of years to check if they develop a certain disease. We know up-...
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2answers
66 views

Interpreting this KM Curve

I would like someone experienced to look at my KM curve. I have categorized a continuous clinical variable into 2 groups based on its median. The Log rank test is significant (p=0.0052). I have then ...
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32 views

How to statistically split a set of numbers into two groups for Kaplan-Meier plot?

I want to perform a survival analysis for the cohort of breast cancer patients. For each patient, I know whether he was right-censored or not and what was his survival time (or the end-of-study time ...
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103 views

Survival Analysis: Number of Censored Events in Life Table [closed]

I want to construct a life table for some event of interest. See below for an example: I'm trying to do this with survival R package: https://cran.r-project.org/...
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1answer
290 views

Continuous vs Categorical covariate of interest in Cox Regression

I will use aliases throughout to explain my results in brief and a few questions that have propped up in the process. Suppose I'm interested in the association of baseline measurement of blood ...
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60 views

Fitting Probability Distribution to Failure Data with discrete, right censored stress

I'm a bit unfamiliar with survival analysis and I'm struggling to find examples of the particular problem I wish to tackle (which I don't think is particularly unique actually). Imagine I'm doing a ...
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55 views

How can we analyze a dataset with a pseudoreplication problem?

I am trying to analyse a data set with a pseudoreplication problem and would be grateful if someone could give me some guidelines on the best way to deal with it. We have a set of subjects exposed to ...
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1answer
55 views

5-year EFS > 5-year OS

I had a data of 24 cancer patients; their 5-year overall survival (i.e. event as death) was around 57%, however, when I calculated 5-year event-free survival for the same cohort, defining the event as ...
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1answer
25 views

Equivalent of Kaplan Meier for an unbounded number of sets

I have used Kaplan-Meier method several times before when I compared how group $A$ survived compared to group $B$ through a period of (say) 5 years. Now I face a somewhat different scenario: I have ...
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1answer
49 views

Equivalence of Kaplan-Meier estimator and EM algorithm

For right-censored failure time data, in a non-parametric setting, is there an equivalence between using the EM algorithm (i.e. calculating the expected log-likelihood and maximizing) and the Kaplan-...
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1answer
25 views

km curve sample size at t=0 with censoring and events at t =0

How do I calculate the $n_t$ (subjects at risk) at each time t when i am dealing with a dataset that contains both events and censored data at time t=0. Assuming I have 248 subjects in a study to ...
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0answers
110 views

Number at risk for adjusted analysis

I need to plot cumulative incidence curves, which correspond to 1 - Kaplan-Meier-values. Doing so for a factor x with four groups gives me the following curves: But in fact, I have many variables ...
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1answer
169 views

How to do a survival curve adjusted to age in SPSS? [closed]

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 ...
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Interpretation of beta Coefficients if Transformed in a Multivariate Cox Regression [duplicate]

I had to transform some of my primary variables of interest (log transform). Others were left untransformed as they were normally distributed in the sample (Pfat, etc.). To allow for comparisons of ...