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Crate survival

Crate survival

Modules§

simd_ops

Structs§

AalenJohansenExtendedConfig
AalenJohansenExtendedResult
AaregOptions
AccrualResult
AeqSurvResult: Result of adjusting near ties in survival times
AggregateSurvfitResult: Result of aggregating survival curves
AllChangepointsResult
AnovaCoxphResult
AnovaRow
BayesianCoxResult
BayesianParametricResult
BootstrapConformalResult
BootstrapResult
BootstrapSurvShapResult
BrierCalibrationResult
CIndexDecompositionResult
CQRConformalResult
CVPlusCalibrationResult
CVPlusConformalResult
CVResult
CalibrationPlotData
CalibrationResult
CauseResult
CauseSpecificCoxConfig
CauseSpecificCoxResult
Changepoint
ChangepointConfig
ChangepointInfo
ChangepointResult
ClogitDataSet
ClusterResult: Result of cluster identification
CohortData
CompetingRisksCIF
ConcordanceComparisonResult
CondenseResult: Result of condensing survival data
ConditionalLogisticRegression
ConditionalSurvivalResult
ConformalCalibrationPlot
ConformalCalibrationResult
ConformalDiagnostics
ConformalPredictionResult
ConformalSurvivalDistribution
ConformalWidthAnalysis
ContrastiveSurv
ContrastiveSurvConfig
ContrastiveSurvResult
CovariateShiftConformalResult
CoverageSelectionResult
CoxCountOutput
CoxPHModel
CoxphDetail
CoxphDetailRow
CumulativeDynamicAUCResult
CumulativeIncidenceResult
DCalibrationResult
DeepHit
DeepHitConfig
DeepSurv
DeepSurvConfig
DoublyRobustConformalResult
DynamicDeepHit
DynamicDeepHitConfig
DynamicPredictionResult
ElasticNetCoxPath
ElasticNetCoxResult
ExcessHazardModelResult
ExpectedSurvivalResult
FastCoxConfig
FastCoxPath
FastCoxResult
FeatureGroup
FeatureImportance
FeatureViewAnalysis
FineGrayOutput
FineGrayResult
GALEE
GALEEConfig
GALEEResult
GComputationResult
GapTimeResult
GonenHellerResult
GradientBoostSurvival
GradientBoostSurvivalConfig
HazardRatioResult
IPCWResult
IntervalCensoredResult
IntervalResult: Result of converting from timeline to interval format
JointCompetingRisksConfig
JointCompetingRisksResult
JointFrailtyResult
JointModelResult
KaplanMeierConfig
LandmarkResult
LifeTableResult
LinkFunctionParams
LocalGlobalConfig
LocalGlobalResult
LocalGlobalSummary
LogRankResult
MSMResult
MarginalModelResult
MedianSurvivalResult
MixtureCureResult
MondrianCalibrationResult
MondrianConformalResult
MondrianDiagnostics
MultiTimeCalibrationResult
MultipleImputationResult
NNTResult
NaturalSplineKnot: Natural spline with knot heights as basis coefficients.
NearDateResult: Result of nearest date matching
NelsonAalenResult
NetSurvivalResult
OneCalibrationResult
PSpline
PatternMixtureResult
PermutationImportanceResult
PredictionResult
PromotionTimeCureResult
ProportionalityTest
PseudoResult: Result of pseudo-value computation
PyearsCell
PyearsSummary
QALYResult
QTWISTResult
RCLLResult
RMSTComparisonResult
RMSTOptimalThresholdResult
RMSTResult
RateDimension: A dimension in the rate table
RateTable: Population mortality rate table.
RatetableDateResult
RelativeSurvivalResult
ReliabilityResult
RidgePenalty: Configuration for ridge regression penalty
RidgeResult: Result of ridge regression estimation
RiskStratificationResult
RoystonResult: Result of Royston’s D statistic calculation
RttrightResult: Result of redistribute-to-the-right weight calculation
SampleSizeResult
ShapInteractionResult
SmoothedCalibrationCurve
SpatialFrailtyResult
SplineBasisResult: Result of computing spline basis
SplitResult
StateFigData: Data for drawing a state space figure.
StrataResult
StratifiedKMResult
Subject
Surv2DataResult: Result of converting timecourse data to interval format
SurvCheckResult: Result of survival data validation
SurvDiffResult
SurvExpResult: Result of expected survival calculation
SurvFitAJ
SurvFitKMOutput
SurvObrienResult: Result of O’Brien’s test for survival association
SurvShapConfig
SurvShapExplanation
SurvShapResult
SurvTrace
SurvTraceConfig
SurvfitKMOptions
SurvfitMatrixResult
SurvfitResiduals
SurvivalAtTimeResult
SurvivalFit
SurvivalForest
SurvivalForestConfig
SurvregConfig
SurvregPrediction
SurvregQuantilePrediction
SurvregResiduals
TargetTrialResult
TcutResult: Result of time cutting for person-years calculations
TdAUCResult
TestResult
TimeDepAUCResult
TimeVaryingAnalysis
TimeVaryingTestConfig
TimeVaryingTestResult
TimelineResult: Result of converting to timeline (wide) format
Tracer
TracerConfig
TransitionMatrix
TrendTestResult
TurnbullResult
TwoSidedCalibrationResult
TwoSidedConformalResult
UnoCIndexResult
VariableGroupingConfig
VariableGroupingResult
WeightDiagnostics
YatesPairwiseResult: Result of pairwise comparisons
YatesResult: Result of Yates population prediction

Enums§

Constants§

Functions§

aareg
aeq_surv: Adjudicate near ties in survival times.
agexact
aggregate_survfit: Aggregate (average) multiple survival curves.
aggregate_survfit_by_group: Average survival curves by group
aggregate_survshap
agmart
agsurv4
agsurv5
analyze_local_global
analyze_missing_pattern
andersen_gill
anova_coxph
anova_coxph_single
basehaz
bayesian_cox
bayesian_cox_predict_survival
bayesian_parametric
bayesian_parametric_predict
bootstrap_conformal_survival
bootstrap_cox_ci: Compute bootstrap confidence intervals for Cox regression coefficients.
bootstrap_survreg_ci
brier
brier_calibration
c_index_decomposition
calibration
calibration_plot
cause_specific_cox
cause_specific_cox_all
cipoisson
cipoisson_anscombe
cipoisson_exact
cluster: Identify clusters for robust variance estimation.
cluster_str: Identify clusters from string identifiers
collapse
compare_uno_c_indices
competing_risks_cif
compute_brier
compute_concordance: Compute concordance statistics for survival predictions.
compute_expected_survival
compute_ipcw_weights
compute_longitudinal_iptw
compute_rcll
compute_rcll_single_time
compute_rmst
compute_shap_interactions
compute_spatial_smoothed_rates
compute_survfitkm
concordance1
conditional_reliability
conditional_survival
conformal_calibrate
conformal_calibration_plot
conformal_coverage_cv
conformal_coverage_test
conformal_predict
conformal_survival_from_predictions
conformal_survival_parallel
conformal_width_analysis
conformalized_survival_distribution
contrastive_surv
covariate_shift_conformal_survival
cox_score_residuals
coxcount1
coxcount2
coxmart
coxph_detail
cqr_conformal_survival
create_simple_ratetable: Create a simple rate table for testing/demonstration
crude_probability_of_death
cumulative_dynamic_auc
cumulative_dynamic_auc_core
cumulative_incidence
cv_cox_concordance
cv_survreg_loglik
cvplus_conformal_calibrate
cvplus_conformal_survival
d_calibration
days_to_date
deep_surv
deephit
detect_changepoints
detect_changepoints_single_series
detect_time_varying_features
dfbeta_survreg
doubly_robust_conformal_calibrate
doubly_robust_conformal_survival
dynamic_auc
dynamic_brier_score
dynamic_deephit
dynamic_prediction
elastic_net_cox
elastic_net_cox_cv
elastic_net_cox_path
excess_hazard_regression
expected_events
failure_probability
fast_cox
fast_cox_cv
fast_cox_path
finegray
finegray_regression
fleming_harrington_test
from_timeline: Convert timeline (wide) format to interval (long) format
g_computation
g_computation_survival_curves
galee
gap_time_model
gonen_heller_concordance
gradient_boost_survival
group_variables
hazard_ratio: Compute hazard ratio between two groups.
hazard_to_reliability
incremental_cost_effectiveness
integrated_brier
interval_censored_regression
ipcw_kaplan_meier
ipcw_treatment_effect
is_ratetable
joint_competing_risks
joint_frailty_model
joint_model
landmark_analysis
landmark_analysis_batch
landmarking_analysis
life_table
logrank_test: Perform log-rank test comparing survival between groups.
logrank_trend
lrt_test
marginal_recurrent_model
marginal_structural_model
mean_residual_life
mixture_cure_model
mondrian_conformal_calibrate
mondrian_conformal_predict
mondrian_conformal_survival
moran_i_test
multi_time_calibration
multiple_imputation_survival
neardate: Find the closest matching date/value in a reference set.
neardate_str: Find nearest date using string IDs
nelson_aalen
nelson_aalen_estimator: Compute Nelson-Aalen cumulative hazard estimate.
net_survival
norisk
npmle_interval
nsk: Create natural spline basis for given data.
number_needed_to_treat
one_calibration
pattern_mixture_model
perform_agscore3_calculation
perform_concordance1_calculation
perform_concordance3_calculation
perform_concordance_calculation
perform_cox_regression_frailty
perform_score_calculation
permutation_importance
ph_test
power_survival
predict_cox
predict_survreg
predict_survreg_quantile
promotion_time_cure_model
pseudo: Compute pseudo-values for survival analysis.
pseudo_fast: Compute pseudo-values using efficient IJ residuals
pwp_gap_time
pyears_by_cell
pyears_ci
qaly_calculation
qaly_comparison
qtwist_analysis
qtwist_comparison
qtwist_sensitivity
ratetable_date
rcll
rcll_single_time
relative_survival
reliability
reliability_inverse
residuals_survfit
residuals_survreg
ridge_cv: Select optimal ridge penalty using cross-validation
ridge_fit: Fit ridge regression for survival models.
risk_stratification
rmst: Compute Restricted Mean Survival Time (RMST).
rmst_comparison: Compare RMST between two groups.
rmst_optimal_threshold: Compute optimal RMST threshold using reduced piecewise exponential model.
royston: Compute Royston’s D statistic for a Cox model.
royston_from_model: Compute Royston’s D from model coefficients and data.
rttright: Compute redistribute-to-the-right weights for censored data.
rttright_stratified: Compute IPCW weights with stratification
sample_size_survival
sample_size_survival_freedman
schoenfeld_residuals
score_test
sensitivity_analysis
sequential_trial_emulation
smoothed_calibration
spatial_frailty_model
statefig: Generate data for a state space figure.
statefig_matplotlib_code: Generate matplotlib-compatible plot code for the state figure
statefig_transition_matrix: Create transition matrix from edge list
statefig_validate: Validate state transitions against allowed patterns
strata
strata_str
stratified_kaplan_meier
summary_pyears
surv2data: Convert timecourse data to counting process (time1, time2) format
survcheck: Check survival data for consistency.
survcheck_simple: Simplified check for standard (non-multi-state) survival data
survcondense: Condense a survival dataset by merging adjacent censored intervals
survdiff2
survexp: Compute expected survival based on population mortality.
survexp_individual: Compute individual expected survival for each subject
survexp_mn
survexp_us
survexp_usr
survfit_from_cumhaz
survfit_from_hazard
survfit_from_matrix
survfit_multistate
survfitaj
survfitaj_extended
survfitkm: Compute Kaplan-Meier survival curve estimates.
survfitkm_with_options
survival_at_times
survival_forest
survival_quantile
survobrien: O’Brien’s Test for Association with Survival
survreg: Fit a parametric survival regression model.
survshap
survshap_bootstrap
survshap_from_model
survsplit
survtrace
target_trial_emulation
tcut: Create factor for person-years calculations with time-dependent cutpoints.
tcut_expand: Split time intervals for person-years analysis.
td_auc
time_dependent_auc
time_dependent_auc_core
tipping_point_analysis
tmerge
tmerge2
tmerge3
to_timeline: Convert interval data to timeline (wide) format
tracer
turnbull_estimator
two_sided_conformal_calibrate
two_sided_conformal_predict
two_sided_conformal_survival
uno_c_index
wald_test
wei_lin_weissfeld
weighted_logrank_test
yates: Compute population marginal means (Yates-style adjustment).
yates_contrast: Compute population marginal means with model-based predictions.
yates_pairwise: Compute pairwise contrasts between factor levels
z_score_for_confidence