Question

Predict probability from Cox PH model

score 17.1k · Answer 1 · 2025-01-05 19:54:38

17.1k

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Predict probability from Cox PH model

Published on 05 January 2025 at 19:54

score 415 · Answer 2 · 2025-01-01 18:36:17

415

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R session aborted when trying to run coxph

Published on 01 January 2025 at 18:36

score 4.9k · Answer 3 · 2025-01-06 20:34:51

4.9k

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How to deal with violation of proportional hazards assumption in Cox PH, R 3.1.3 survfit

Published on 06 January 2025 at 20:34

score 444 · Answer 4 · 2025-01-05 16:08:46

444

Views

Is possible to define a random limit for a loop in JAGS?

Published on 05 January 2025 at 16:08

score 155 · Answer 5 · 2025-01-01 18:39:45

155

Views

Cox proportional model w/ multiple failures for same subjects

Published on 01 January 2025 at 18:39

score 1.2k · Answer 6 · 2025-01-05 16:09:24

1.2k

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R Creating a time-varying survival dataset from event data

Published on 05 January 2025 at 16:09

score 680 · Answer 7 · 2025-01-05 16:03:53

680

Views

Bayesian survival analysis

Published on 05 January 2025 at 16:03

score 567 · Answer 8 · 2025-01-05 16:10:32

567

Views

Stuck with package example code in R - simulating data to fit a model

Published on 05 January 2025 at 16:10

score 5.1k · Answer 9 · 2025-01-05 16:05:08

5.1k

Views

R- Error "survfit" formula, survival package

Published on 05 January 2025 at 16:05

score 2.7k · Answer 10 · 2025-01-01 18:41:10

2.7k

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Data Formatting for Time Varying Covariate Cox Proportional Hazards Modeling in R

Published on 01 January 2025 at 18:41

score 95 · Answer 11 · 2025-01-05 16:06:40

95

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survival analysis with two levels of censoring

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score 1.9k · Answer 12 · 2025-01-05 16:03:47

1.9k

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Survival analysis using R

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score 9.4k · Answer 13 · 2025-01-01 18:36:44

9.4k

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Survival Analysis for Telecom Churn using R

Published on 01 January 2025 at 18:36

score 115 · Answer 14 · 2025-01-06 18:35:15

115

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Phreg coefficients

Published on 06 January 2025 at 18:35

score 1.4k · Answer 15 · 2025-01-05 16:10:57

1.4k

Views

Graphing hazard using SAS when a time-dependent covariate is included

Published on 05 January 2025 at 16:10

score 2.9k · Answer 16 · 2025-01-05 16:10:31

2.9k

Views

Mice pool() function and coxph(): in mice.df (...) : large sample assumed?

Published on 05 January 2025 at 16:10

score 1.4k · Answer 17 · 2025-01-05 16:09:04

1.4k

Views

Obtain Kaplan-Meier survival risk per individual instance

Published on 05 January 2025 at 16:09

score 889 · Answer 18 · 2025-01-01 18:42:01

889

Views

Parameter estimates and variance for stratified variables in Cox regression (strata / survival package)

Published on 01 January 2025 at 18:42

score 274 · Answer 19 · 2025-01-05 16:05:46

274

Views

Moving entries within unique ID, using loop

Published on 05 January 2025 at 16:05

score 1k · Answer 20 · 2025-01-05 16:10:30

1k

Views

AFTSurvivalRegression (spark ML) can someone explain this behavior?

Published on 05 January 2025 at 16:10

List Question

Predict probability from Cox PH model

R session aborted when trying to run coxph

How to deal with violation of proportional hazards assumption in Cox PH, R 3.1.3 survfit

Is possible to define a random limit for a loop in JAGS?

Cox proportional model w/ multiple failures for same subjects

R Creating a time-varying survival dataset from event data

Bayesian survival analysis

Stuck with package example code in R - simulating data to fit a model

R- Error "survfit" formula, survival package

Data Formatting for Time Varying Covariate Cox Proportional Hazards Modeling in R

survival analysis with two levels of censoring

Survival analysis using R

Survival Analysis for Telecom Churn using R

Phreg coefficients

Graphing hazard using SAS when a time-dependent covariate is included

Mice pool() function and coxph(): in mice.df (...) : large sample assumed?

Obtain Kaplan-Meier survival risk per individual instance

Parameter estimates and variance for stratified variables in Cox regression (strata / survival package)

Moving entries within unique ID, using loop

AFTSurvivalRegression (spark ML) can someone explain this behavior?

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