Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [lifelines]

Use when discussing the library's statistical outputs. For questions about "how do I....", questions should be asked on StackOverflow instead.

a survival analysis library in Python.

22 questions
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How does lifelines calculate baseline hazard in CoxPHFitter?

I have learnt that the baseline hazard function in the Cox PH Model is unspecified. Does it mean that I can specify it as any functions and select the best one during experiments? I also see that the CoxPHFitter function in the lifelines does not…
Munichong
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1 answer

Python Astronomy Censored Data in Lifelines

I am trying to find a correlation between a given data set containing redshifts and turnover frequencies (I have a list of 320 galaxies, and the redshift and turnover frequency (a turnover frequency is the frequency of the peak in the radio…
Matt Majic
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3
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2 answers

Predictions using CoxTimeVaryingFitter for survival analysis in Python

For a customer churn analysis , i am building a time varying cox model in Python (available under lifelines package) to predict survival probabilities. The model object CoxTimeVaryingFitter() currently does not support or include functions to…
swat
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2
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1 answer

I cannot match the results of KaplanMeier and Nelson Aalen by hand

I have fitted both models by using lifelines python library. The results of .event_table from both models are identically matched. However, when I try to recalculate .cumulative_density_ from KaplanMeierFitter() and .cumulative_hazard_ from…
Sasiwut Chaiyadecha
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1 answer

Should the data be balanced for Kaplan-Meier survival curve?

I have a dataset that contains some categorical info about my users (like gender and country), whether they have churned or not and what's the time from their subscription to churn. I want to use survival analysis and estimate the time between…
Kimia Gharib
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2
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2 answers

complex survey in python

I have been using the excellent R survey package for survival analysis of complex survey data. I have the necessity to migrate to python, and have found that the Python package lifelines gives the possibility to define sampling weights and clusters…
giotto
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2
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1 answer

Difference between KaplanMeierFitter plots() in Lifelines

I have been using Lifelines library for survival analysis. I observed a difference in the plots using the Kaplan Meieir Fitter estimator on my data. The above plot of the data, provides a step function using the KMF estimator. While calling…
keshr3106
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How lifelines calculates p-values in CoxPHFitter summary?

I would like to understand how term-specific p-values are calculated in the lifelines package ('p' in the summary table below). The documentation says they are calculated using stats.chi2.sf(U, 1), but I don't understand how exactly this works. Is…
vimegace
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1
vote
1 answer

Interpreting output of predict_survival_function

I am attempting to model individuals in the Rossi dataset. Looking at this we see that the output of the predict_survival_function gives us a a dataframe with the index being the time point and the column is the individuals survival probability. If…
Kevin
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1
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1 answer

Convergence Error Using lifelines.CoxTimeVaryingFitter Python

I want to evaluate my Cox model using the lifelines package for a time varying covariate problem. However, when I use the lifelines.CoxTimeVaryingFitter I get a convergence error. I have already transformed my dataset into long_format, moreover…
Josh
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1 answer

Transform Survival function of Cox Proportional Hazards Model to single risk score

I am working on a churn prediction in Python using lifelines based on the Telco Dataset. I managed to create survival functions of the subject within the dataset (see screenshot). However, I want to compare my subjects to each other based on a…
Michiel Voortman
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1 answer

Survival Regression using Stratification vs Partial Effects in Lifelines

I have been using the Lifelines survival estimation package: https://lifelines.readthedocs.io/en/latest/ I am interested in the effect that a specific variable (number of pain sites) has on the survival model (using the CoxPH model). I tried…
Gustopher
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1 answer

Testing the validity of a Cox Time-Varying regression model in Python Lifelines

Using the lifelines library for python, I've fitted a Cox Time-varying regression to some customer data, to see which coefficients have an effect on customer churn. The dataset is a combination of time-independent and time-dependent variables. The…
Hossing_Kommune
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1 answer

Survival model predictors with shorter observation time

Can you help me understand how to deal with survival model feature selection: I am trying to predict median for lifetime for consumers, based on panel data (i.e. regular answers from a representative sample answering if they are still using the…
Ema Nymton
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1 answer

what is the output of predict_survival_function method in lifelines package?

I'm using predict_survival_function method in lifelines package and I want to have the conditional survival function of each individual in my dataset. The dataset includes some users feature, the weeks from signup to churn and whether they churn or…
Kimia Gharib
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