Examine Privacy Preserving Data Analysis Methods in Simulated Distributed Data Network

Analyze | Analyze all analyses using data collected from data centers. |

AnalyzeSiteDataset | Analyze individual-level data collected from data centers. |

AnalyzeSiteDatasetBin | Analyze individual-level binary data collected from data... |

AnalyzeSiteDatasetSurv | Analyze individual-level survival data collected from data... |

AnalyzeSiteRegression | Meta-analyze regression results collected from data centers. |

AnalyzeSiteRegressionHelper | Meta-analyze based on coefficient and variance vector |

AnalyzeSiteRisksets | Analyze risk set-level data collected from data centers. |

AnalyzeSiteSummary | Analyze summary-level data collected from data centers. |

AnalyzeSiteSummaryBin | Analyze summary-level binary data collected from data... |

AnalyzeSiteSummarySurv | Analyze summary-level survival data collected from data... |

AnalyzeSiteTruth | Analyze individual-level data collected from data centers... |

AnalyzeSiteTruthBin | Analyze individual-level binary data collected from data... |

AnalyzeSiteTruthSurv | Analyze individual-level survival data collected from data... |

AssignCovariatesNormBin | Create indepedent covariates given mean, sd, and prevalence |

AssignCovariatesNormBinDefault | Create independent covariates by default method |

AssignOutcomeBin | Assign binary outcome based on covariates and treatment |

AssignOutcomeSurv | Assign survival time outcome |

AssignTreatment | Assign treatment based on true propensity score model |

CaseCenteredLogistic | Conduct case-centered analysis |

CaseCenteredLogisticWeightedBreslow | Conduct case-centered analysis for weighted risk sets... |

CaseCenteredLogisticWeightedEfron | Conduct case-centered analysis for weighted risk sets (Efron) |

CaseCenteredLogisticWeightedSas | Conduct case-centered analysis for weighted risk sets via SAS |

ConstructAssignCovariatesNormBin | Construct independent covariate generator |

CreateIpw | Create IPW |

CreateMatches | Match across status |

CreateNaDf | Generate a desired NA data frame |

CreateStrata | Create strata |

distributed-package | Simulation suite for privacy preserving data analysis methods |

EstimateScoreBin | Estimate summary confounder scores (binary logistic model) |

EstimateScoreSurv | Estimate disease risk score (Cox model) |

ExtremeTwoPointSample | Generate a two point distribution sample with only one point... |

GenerateDataForAllScenarios | Generate R iterations for each scenario |

GenerateDistResNet | Generate a distributed research network. |

GenerateDistResNetRtimesAndSave | Generate R distributed research network iterations for a... |

GenerateOneCenter | Generate one data center |

GenerateOneCenterTable | Generate one data center and its table |

GenerateSasProcPhreg | Generate a SAS script to run PROC PHREG |

GenerateScenarioDistResNet | Generate ScenarioDistResNet object containing parameters for... |

GenerateScenarios | Generate Scenarios object containing multiple DRN scenarios. |

is.error | Tests for objects of type 'try-error' |

print.DistResNet | print method for a DistResNet class object |

print.ParamsTableOne | print method for the ParamsTableOne object |

print.ResSite | print method for a ResSite class object |

print.ScenarioDistResNet | print method for a ScenarioDistResNet class object |

print.Scenarios | print method for a Scenarios class object |

RequestSiteDataPreparation | Request sites perform within-site data preparation. |

RequestSiteDataset | Request sites provide site-specific individual-level data. |

RequestSiteRegression | Request sites provide site-specific regression results |

RequestSiteRisksets | Request sites provide site-specific risk set data. |

RequestSiteSummary | Request sites provide site-specific summary data. |

RequestSiteTruth | Request sites provide site-specific individual-level data... |

RisksetsToIpd | Expand weighted risk set data with variance to long format. |

RisksetsToIpdSkewed | Expand weighted risk set data with variance to long format... |

SeqGsub | Sequentially replace strings |

SiteDataset | Run site-specific individual-level data extraction |

SitePrepareHelperVariables | Prepare PS- and DRS-related helper variables |

SiteRegression | Run site-specific regression analyses |

SiteRegressionBin | Run site-specific logistic regression |

SiteRegressionSurv | Run site-specific Cox regression |

SiteRisksets | Run site-specific risk set data creation |

SiteRisksetsBin | Obtain site-specific risk sets for binary outcome |

SiteRisksetsByStrata | Construct risk set data stratifying on a variable |

SiteRisksetsHelper | Construct risk set data |

SiteRisksetsSurv | Obtain site-specific risk sets for survival outcome |

SiteSummary | Run site-specific summary data creation |

SiteSummaryBin | Obtain site-specific summaries for binary outcome |

SiteSummarySurv | Obtain site-specific summaries for survival outcome |

SiteTruth | Run site-specific individual-level data extraction... |

SkewedTwoPointSample | Create a sample with skewed two or three point distribution |

SummarizeEventsPtBy | Summarize event counts and total person-time by groups. |

SummarizeEventsTotalsBy | Summarize event counts and trial counts by groups. |

SummarizeStratumEventsPtBy | Summarize stratum-specific event counts and total person-time... |

SummarizeStratumEventsTotalsBy | Summarize stratum-specific event counts and trial counts by... |

summary.DistResNet | summary method for a DistResNet class object |

summary.ResSite | summary method for a ResSite class object |

try_w | Enhanced try that can treat some warnings as errors |

ValidateDf | Validate data frame for variability in exposure and outcome |

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