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    "sim_BinPlack",
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    "sim_ClaytonOakesLam",
    "sim_ClaytonOakesWei",
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    "twinsim",
    "twostage",
    "twostageMLE",
    "twostageREC",
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    "WA_reg"
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      "name": "ttpd",
      "title": "ttpd discrete survival data on interval form",
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      "name": "twinbmi",
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    {
      "name": "twinstut",
      "title": "Stutter data set",
      "object": "twinstut",
      "file": "twinstut.txt.xz",
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  ],
  "_help": [
    {
      "page": "aalenMets",
      "title": "Fast Additive Hazards Model with Robust Standard Errors",
      "topics": [
        "aalenMets"
      ]
    },
    {
      "page": "ACTG175",
      "title": "ACTG175, block randomized study from speff2trial package",
      "topics": [
        "ACTG175"
      ]
    },
    {
      "page": "bicomprisk",
      "title": "Estimation of Concordance in Bivariate Competing Risks Data",
      "topics": [
        "bicomprisk",
        "bicompriskData"
      ]
    },
    {
      "page": "binomial_twostage",
      "title": "Fits Clayton-Oakes or bivariate Plackett (OR) models for binary data using marginals that are on logistic form. If clusters contain more than two times, the algoritm uses a compososite likelihood based on all pairwise bivariate models.",
      "topics": [
        "binomial_twostage",
        "binomial_twostage_time"
      ]
    },
    {
      "page": "binreg",
      "title": "Binomial Regression for Censored Competing Risks Data",
      "topics": [
        "binreg",
        "binregt",
        "logitIPCW"
      ]
    },
    {
      "page": "binreg_IPTW",
      "title": "IPTW logistic regression, Inverse Probabibilty of Treatment Weighted binreg",
      "topics": [
        "binreg_IPTW"
      ]
    },
    {
      "page": "binregATE",
      "title": "Average Treatment Effect for Censored Competing Risks Data using Binomial Regression",
      "topics": [
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        "logitATE",
        "logitIPCWATE",
        "normalATE"
      ]
    },
    {
      "page": "binregCasewise",
      "title": "Estimate Casewise Concordance Using Binomial Regression",
      "topics": [
        "binregCasewise"
      ]
    },
    {
      "page": "binregG",
      "title": "G-Estimator for Binomial Regression Model (Standardized Estimates)",
      "topics": [
        "binregG"
      ]
    },
    {
      "page": "binregRatio",
      "title": "Percentage of Years Lost Due to a Cause Regression",
      "topics": [
        "binregRatio",
        "rmtlRatio"
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    },
    {
      "page": "binregTSR",
      "title": "Two-Stage Randomization for Survival or Competing Risks Data",
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    {
      "page": "biprobit",
      "title": "Bivariate Probit model",
      "topics": [
        "biprobit",
        "biprobit.time",
        "biprobit.vector"
      ]
    },
    {
      "page": "blocksample",
      "title": "Block sampling",
      "topics": [
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        "dsample"
      ]
    },
    {
      "page": "bmt",
      "title": "The Bone Marrow Transplant Data",
      "topics": [
        "bmt"
      ]
    },
    {
      "page": "bptwin",
      "title": "Liability model for twin data",
      "topics": [
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        "bptwin.time",
        "twinlm.time"
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    },
    {
      "page": "calgb8923",
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      "topics": [
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    },
    {
      "page": "casewise",
      "title": "Estimate Casewise Concordance from prodlim Objects",
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    },
    {
      "page": "casewise_bin",
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      "page": "cif",
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        "cif"
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    {
      "page": "cif_yearslost",
      "title": "Restricted Mean Time Lost for Competing Risks",
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    },
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      "page": "cifreg",
      "title": "Cumulative Incidence Function (CIF) Regression",
      "topics": [
        "cifreg",
        "diffstrata",
        "FGprediid",
        "gofFG",
        "indexstratarightR",
        "vecAllStrata"
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    },
    {
      "page": "cifregFG",
      "title": "Fine-Gray Cumulative Incidence Function Regression",
      "topics": [
        "cifregFG"
      ]
    },
    {
      "page": "ClaytonOakes",
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      "topics": [
        "ClaytonOakes"
      ]
    },
    {
      "page": "cluster_index",
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      "topics": [
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        "cluster_index",
        "countID",
        "mystrata",
        "mystrata2index",
        "pairRisk"
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    },
    {
      "page": "coarse_clust",
      "title": "Coarsen Cluster Identifiers",
      "topics": [
        "coarse_clust"
      ]
    },
    {
      "page": "concordanceCor",
      "title": "Concordance Computes concordance and casewise concordance",
      "topics": [
        "concordance.cor",
        "concordanceCor"
      ]
    },
    {
      "page": "cor_cif",
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      "topics": [
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        "or.cif",
        "rr.cif"
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    },
    {
      "page": "count_history",
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    },
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      "page": "CPH_HPN_CRBSI",
      "title": "Rates for HPN program for patients of Copenhagen Cohort",
      "topics": [
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    },
    {
      "page": "cumoddsreg",
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        "cumoddsreg"
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      "page": "daggregate",
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      "topics": [
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      "page": "Dbvn",
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      "topics": [
        "Dbvn"
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    },
    {
      "page": "dby",
      "title": "Calculate summary statistics grouped by",
      "topics": [
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        "dby2",
        "dby2<-",
        "dby<-",
        "dbyr"
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    {
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        "deval2",
        "dmean",
        "dmeansd",
        "dquantile",
        "dscalar",
        "dsd",
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        "dsubset",
        "dsum",
        "dsummary"
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      "page": "dcut",
      "title": "Cutting, sorting, rm (removing), rename for data frames",
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        "dcut<-",
        "ddrop",
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        "dkeep",
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        "dnames",
        "dnames<-",
        "drename",
        "drename<-",
        "drm",
        "drm<-",
        "dunique"
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    },
    {
      "page": "dermalridges",
      "title": "Dermal ridges data (families)",
      "topics": [
        "dermalridges"
      ]
    },
    {
      "page": "dermalridgesMZ",
      "title": "Dermal ridges data (monozygotic twins)",
      "topics": [
        "dermalridgesMZ"
      ]
    },
    {
      "page": "diabetes",
      "title": "The Diabetic Retinopathy Data",
      "topics": [
        "diabetes"
      ]
    },
    {
      "page": "divide_conquer",
      "title": "Split a data set and run function",
      "topics": [
        "divide_conquer"
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    },
    {
      "page": "dlag",
      "title": "Lag operator",
      "topics": [
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        "dlag<-"
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    {
      "page": "dprint",
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        "dprint",
        "dtail"
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      "page": "dreg",
      "title": "Regression for data frames with dutility call",
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      "page": "drelevel",
      "title": "relev levels for data frames",
      "topics": [
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        "dfactor<-",
        "dlev",
        "dlev<-",
        "dlevel",
        "dlevel<-",
        "dlevels",
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        "drelev",
        "drelev<-",
        "drelevel",
        "drelevel<-"
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    },
    {
      "page": "drop.specials",
      "title": "Remove Special Terms from a Formula",
      "topics": [
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    {
      "page": "dsort",
      "title": "Sort data frame",
      "topics": [
        "dsort",
        "dsort2",
        "dsort<-"
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    },
    {
      "page": "dspline",
      "title": "Simple linear spline",
      "topics": [
        "dspline",
        "dspline<-"
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    {
      "page": "dtable",
      "title": "tables for data frames",
      "topics": [
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    {
      "page": "dtransform",
      "title": "Transform that allows condition",
      "topics": [
        "dtrans",
        "dtrans<-",
        "dtransform",
        "dtransform<-"
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    },
    {
      "page": "Event",
      "title": "Event history object",
      "topics": [
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        "as.matrix.Event",
        "Event",
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        "print.Event",
        "rbind.Event",
        "summary.Event",
        "[.Event"
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    {
      "page": "event_split",
      "title": "event_split (SurvSplit).",
      "topics": [
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    },
    {
      "page": "event_split2",
      "title": "Event split with two time-scales, time and gaptime",
      "topics": [
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    },
    {
      "page": "eventpois",
      "title": "Extract survival estimates from lifetable analysis",
      "topics": [
        "eventpois",
        "pcif"
      ]
    },
    {
      "page": "extendCums",
      "title": "Extend Cumulative Hazard Functions to Common Time Range",
      "topics": [
        "extendCums"
      ]
    },
    {
      "page": "familycluster_index",
      "title": "Finds all pairs within a cluster (family)",
      "topics": [
        "familycluster_index"
      ]
    },
    {
      "page": "familyclusterWithProbands_index",
      "title": "Finds all pairs within a cluster (famly) with the proband (case/control)",
      "topics": [
        "familyclusterWithProbands_index"
      ]
    },
    {
      "page": "fast.approx",
      "title": "Fast approximation",
      "topics": [
        "cpred",
        "fast.approx",
        "indexstrata",
        "predictCumhaz"
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    },
    {
      "page": "fast.cluster",
      "title": "Fast Cluster Index Conversion",
      "topics": [
        "fast.cluster"
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    },
    {
      "page": "fast.pattern",
      "title": "Fast pattern",
      "topics": [
        "fast.pattern"
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    },
    {
      "page": "fast.reshape",
      "title": "Fast reshape",
      "topics": [
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        "fast.reshape"
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    },
    {
      "page": "faster.reshape",
      "title": "Fast Reshape from Long to Wide Format",
      "topics": [
        "faster.reshape"
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    },
    {
      "page": "folds",
      "title": "Generate Random Fold Indices for Cross-Validation",
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        "folds"
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    },
    {
      "page": "force.same.cens",
      "title": "Force Same Censoring Within Clusters",
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        "force_same_cens"
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    },
    {
      "page": "gof.phreg",
      "title": "Goodness-of-Fit for Cox PH Regression (Proportionality)",
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        "gof.phreg"
      ]
    },
    {
      "page": "gofM_phreg",
      "title": "Goodness-of-Fit for Cox Covariates (Model Matrix)",
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        "gofM_phreg"
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    },
    {
      "page": "gofZ_phreg",
      "title": "Goodness-of-Fit for Cox Covariates (Linearity)",
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        "gofZ_phreg"
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    },
    {
      "page": "Grandom_cif",
      "title": "Additive Random effects model for competing risks data for polygenetic modelling",
      "topics": [
        "Grandom_cif"
      ]
    },
    {
      "page": "grouptable",
      "title": "Create Group Contingency Table from Clustered Data",
      "topics": [
        "grouptable"
      ]
    },
    {
      "page": "haplo",
      "title": "haplo fun data",
      "topics": [
        "haplo"
      ]
    },
    {
      "page": "haplo_surv_discrete",
      "title": "Discrete Time-to-Event Haplotype Analysis",
      "topics": [
        "haplo_surv_discrete"
      ]
    },
    {
      "page": "hfactioncpx12",
      "title": "hfaction, subset of block randomized study HF-ACtion from WA package",
      "topics": [
        "hfactioncpx12"
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      "page": "IC.binreg",
      "title": "Influence curve components for binomial regression ATE",
      "topics": [
        "IC.binreg"
      ]
    },
    {
      "page": "IC.phreg",
      "title": "Influence Functions for phreg objects",
      "topics": [
        "IC.phreg"
      ]
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    {
      "page": "iidBaseline",
      "title": "Influence Functions or IID Decomposition of Baseline",
      "topics": [
        "iidBaseline"
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    },
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      "page": "ilap",
      "title": "Inverse Laplace Transform Helper",
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        "ilap"
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      "page": "interval_logitsurv_discrete",
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        "predictlogitSurvd",
        "predictSurvd"
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    {
      "page": "ipw",
      "title": "Inverse Probability of Censoring Weights",
      "topics": [
        "ipw"
      ]
    },
    {
      "page": "ipw2",
      "title": "Inverse Probability of Censoring Weights",
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        "ipw2"
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    {
      "page": "jumptimes",
      "title": "Extract Event (Jump) Times",
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        "jumptimes"
      ]
    },
    {
      "page": "km",
      "title": "Kaplan-Meier with Robust Standard Errors",
      "topics": [
        "km"
      ]
    },
    {
      "page": "lifecourse",
      "title": "Life-course plot",
      "topics": [
        "lifecourse"
      ]
    },
    {
      "page": "lifetable.matrix",
      "title": "Life table",
      "topics": [
        "lifetable",
        "lifetable.formula",
        "lifetable.matrix"
      ]
    },
    {
      "page": "LinSpline",
      "title": "Simple linear spline",
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        "LinSpline"
      ]
    },
    {
      "page": "logitSurv",
      "title": "Proportional Odds Survival Model",
      "topics": [
        "logitSurv"
      ]
    },
    {
      "page": "mediatorSurv",
      "title": "Mediation analysis in survival context",
      "topics": [
        "BootmediatorSurv",
        "mediatorSurv"
      ]
    },
    {
      "page": "medweight",
      "title": "Computes mediation weights",
      "topics": [
        "medweight"
      ]
    },
    {
      "page": "melanoma",
      "title": "The Melanoma Survival Data",
      "topics": [
        "melanoma"
      ]
    },
    {
      "page": "mena",
      "title": "Menarche data set",
      "topics": [
        "mena"
      ]
    },
    {
      "page": "mets.options",
      "title": "Set global options for 'mets'",
      "topics": [
        "mets.options"
      ]
    },
    {
      "page": "migr",
      "title": "Migraine data",
      "topics": [
        "migr"
      ]
    },
    {
      "page": "mlogit",
      "title": "Multinomial Regression Based on phreg",
      "topics": [
        "mlogit",
        "predict"
      ]
    },
    {
      "page": "multcif",
      "title": "Multivariate Cumulative Incidence Function example data set",
      "topics": [
        "multcif"
      ]
    },
    {
      "page": "np",
      "title": "np data set",
      "topics": [
        "np"
      ]
    },
    {
      "page": "twin-design",
      "title": "Concordance Probability from Twostage Model",
      "topics": [
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        "ascertained_pairs",
        "concordanceTwinACE",
        "concordanceTwostage",
        "kendall.ClaytonOakes.twin.ace",
        "kendall_ClaytonOakes_twin_ace",
        "kendall_normal_twin_ace",
        "make_pairwise_design",
        "p11.binomial.twostage.RV",
        "p11_binomial_twostage_RV",
        "twin-design",
        "twin.polygen.design",
        "twin_polygen_design"
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    },
    {
      "page": "phreg",
      "title": "Fast Cox Proportional Hazards Regression",
      "topics": [
        "phreg",
        "robust_phreg"
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    },
    {
      "page": "phreg_IPTW",
      "title": "IPTW Cox Regression (Inverse Probability of Treatment Weighted)",
      "topics": [
        "phreg_IPTW"
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    },
    {
      "page": "phreg_rct",
      "title": "Lu-Tsiatis More Efficient Log-Rank for Randomized Studies with Baseline Covariates",
      "topics": [
        "phreg_rct"
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    },
    {
      "page": "phreg_weibull",
      "title": "Weibull-Cox regression",
      "topics": [
        "phreg.par",
        "phreg_weibull"
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    },
    {
      "page": "plack_cif",
      "title": "plack Computes concordance for or.cif based model, that is Plackett random effects model",
      "topics": [
        "plack.cif2",
        "plack_cif"
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    },
    {
      "page": "plot_twin",
      "title": "Scatter plot function",
      "topics": [
        "plot_twin"
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    },
    {
      "page": "plot.phreg",
      "title": "Plotting the baselines of stratified Cox",
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        "bplot",
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        "plotConfRegion",
        "plotConfregion",
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        "plotstrata"
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    {
      "page": "pmvn",
      "title": "Multivariate normal distribution function",
      "topics": [
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      "title": "Predictions from Multinomial Regression",
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    {
      "page": "predict.phreg",
      "title": "Predictions from Proportional Hazards Model",
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    {
      "page": "print.casewise",
      "title": "prints Concordance test",
      "topics": [
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    {
      "page": "prob_exceed_recurrent",
      "title": "Estimate the probability of exceeding k recurrent events by time t",
      "topics": [
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      "page": "prt",
      "title": "Prostate data set",
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      "page": "random_cif",
      "title": "Random effects model for competing risks data",
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    {
      "page": "ratioATE",
      "title": "Ratio of Average Treatment Effects",
      "topics": [
        "ratioATE"
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    },
    {
      "page": "rchaz",
      "title": "Simulation of Piecewise Constant Hazard Model (Cox)",
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        "lin_approx",
        "rchaz",
        "sim_rchaz"
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    {
      "page": "rchazl",
      "title": "Multiple Cause Piecewise Constant Hazard Simulation",
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      "page": "rcrisk",
      "title": "Simulation of Piecewise constant hazard models with two causes (Cox).",
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    {
      "page": "recreg",
      "title": "Recurrent Events Regression with Terminal Event",
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        "IIDrecreg",
        "marks",
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      "page": "recregIPCW",
      "title": "IPCW Estimator for Recurrent Events",
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    {
      "page": "recurrent_marginal",
      "title": "Marginal mean estimation for recurrent events with a terminal event",
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      "page": "resmean_phreg",
      "title": "Restricted Mean for Stratified Kaplan-Meier or Cox Model",
      "topics": [
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        "rmst_phreg"
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    {
      "page": "resmeanATE",
      "title": "Average Treatment Effect for Restricted Mean Time",
      "topics": [
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        "rmstATE"
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    },
    {
      "page": "resmeanIPCW",
      "title": "Restricted IPCW Mean for Censored Survival Data",
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        "rmstIPCW"
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    {
      "page": "phreg-helpers",
      "title": "Robust Baseline Hazard Standard Errors",
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        "conftype",
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        "summarybase.phreg"
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    {
      "page": "cif-nonpar",
      "title": "Non-parametric Cumulative Incidence Functions",
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        "or_cif",
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        "predictPairPlack",
        "random.cif",
        "rr_cif"
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    },
    {
      "page": "rweibullcox",
      "title": "Simulate observations from a Weibull distribution",
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    },
    {
      "page": "sim_cif",
      "title": "Simulation of Output from Cumulative Incidence Regression Model",
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        "sim_cif",
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        "subdist"
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    },
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      "page": "sim_ClaytonOakes",
      "title": "Simulate from the Clayton-Oakes frailty model",
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    {
      "page": "sim_ClaytonOakesWei",
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      "page": "sim_GLcox",
      "title": "Simulation of Two-Stage Recurrent Events Data",
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      "page": "sim_multistate",
      "title": "Simulation of Illness-Death Model",
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    {
      "page": "sim_multistateII",
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      "page": "sim_phreg",
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      "page": "sim_phregs",
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      "page": "sim_recurrent",
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      "page": "sim_recurrent_ts",
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    {
      "page": "sim_recurrentII",
      "title": "Simulate recurrent events with two event types and a terminal event",
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      "page": "strata-numeric",
      "title": "Stratified Cumulative and Summary Operations",
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        "mdi",
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        "strata-numeric",
        "sumstrata"
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      "page": "summary.cor",
      "title": "Summary for dependence models for competing risks",
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        "summary.cor"
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      "page": "summaryGLM",
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        "summaryGLM"
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      "page": "summaryTimeobject",
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    {
      "page": "surv_boxarea",
      "title": "Bivariate Survival Data on Rectangular Regions",
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        "surv_boxarea"
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    },
    {
      "page": "survival_twostage",
      "title": "Twostage Survival Model for Multivariate Survival Data",
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        "randomDes",
        "readmargsurv",
        "survival_twostage",
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        "twostage_coxph",
        "twostage_phreg"
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      "page": "survival-helpers",
      "title": "Survival Twostage Helpers",
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        "alpha2spear",
        "matplot.mets.twostage",
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        "survival-helpers",
        "survival.twostage"
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      "page": "survivalG",
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        "survivalGtime"
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    {
      "page": "test_casewise",
      "title": "Test for Independence Using Casewise Concordance",
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    {
      "page": "test_conc",
      "title": "Compare Two Concordance Estimates",
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    {
      "page": "test_logrankRecurrent",
      "title": "Logrank-type test for comparing recurrent event marginal means between groups",
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        "logrankRecurrentBase",
        "test_logrankRecurrent"
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      "page": "test_marginalMean",
      "title": "Pepe-Mori Test for Marginal Mean Comparison",
      "topics": [
        "test_marginalMean"
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    {
      "page": "tetrachoric",
      "title": "Estimate parameters from odds-ratio",
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        "tetrachoric"
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      "page": "tie_breaker",
      "title": "Break ties in event times for recurrent event data",
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      "page": "TRACE",
      "title": "The TRACE study group of myocardial infarction",
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        "TRACE",
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      "page": "twinbmi",
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    {
      "page": "twostageREC",
      "title": "Fitting of Two-Stage Recurrent Events Random Effects Model",
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        "twostageREC"
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    {
      "page": "WA_recurrent",
      "title": "While-Alive Estimands for Recurrent Events",
      "topics": [
        "WA_recurrent"
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