Predict the course of clinical trial with a time-to-event endpoint for both two-arm and single-arm design. Each of the four primary study design parameters (the expected number of observed events, the number of subjects enrolled, the observation time, and the censoring parameter) can be derived analytically given the other three parameters. And the simulation datasets can be generated based on the design settings.

Are you spending too much time fetching and managing clinical trial data? Struggling with complex queries and bulk data extraction? What if you could simplify this process with just a few lines of code? Introducing 'clintrialx' - Fetch clinical trial data from sources like 'ClinicalTrials.gov' <https://clinicaltrials.gov/> and the 'Clinical Trials Transformation Initiative - Access to Aggregate Content of ClinicalTrials.gov' database <https://aact.ctti-clinicaltrials.org/>, supporting pagination and bulk downloads. Also, you can generate HTML reports based on the data obtained from the sources!

Utility functions to facilitate the import, 
 the reporting and analysis of clinical data.
 Example datasets in 'SDTM' and 'ADaM' format, containing a subset of patients/domains
 from the 'CDISC Pilot 01 study' are also available as R datasets to demonstrate
 the package functionalities.

Collection of indices and tools relating to clinical research that aid epidemiological cohort or retrospective chart review with big data. All indices and tools take commonly used lab values, patient demographics, and clinical measurements to compute various risk and predictive values for survival or further classification/stratification. References to original literature and validation contained in each function documentation. Includes all commonly available calculators available online.

A fast and general implementation of the Elston-Stewart algorithm
 that can calculate the likelihoods of large and complex pedigrees. 
 References for the Elston-Stewart algorithm are
 Elston & Stewart (1971) <doi:10.1159/000152448>,
 Lange & Elston (1975) <doi:10.1159/000152714> and
 Cannings et al. (1978) <doi:10.2307/1426718>.