Accurate and effective statistical analysis techniques and software applications can dramatically improve the efficiency of the cancer clinical trial process, ultimately leading to improvements in the health and life expectency of cancer patients. Two software applications that offer real and proven benefits to the statistical analysis of cancer research data are

nQuery Advisor

cancer research softwarenQuery Advisor is the worlds leading sample size and power calculation software. It is used by thousands of clinical oncology researchers worldwide to accurately calculate appropriate sample sizes for oncology studies.

nQuery Advisor easily calculates sample sizes for a wide variety of analyses. This short example shows how to use nQuery Advisor to calculate sample size for a survival analysis study in a cancer research setting.

Sample Size for survival analysis

The following short (4 minute) video shows how nQuery Advisor can be used to calculate sample size for a survival analysis study in an oncology setting.

Discover much more about nQuery Advisor.
Visit our main nQuery Advisor pages.
Take a free trial of nQuery Advisor to try the software for yourself.
Find pricing information.

 
BMDP for Survival Analysis

Survival Analysis SoftwareBMDP is recognized by leading clinical oncologists as one of the best statistical software packages for Survival Analysis. For many years, BMDP has been trusted by ASCO members to provide clear and acurate statistical analysis of cancer research data.
 

BMDP’s Survival Analysis programs, 1L &2L, are renowned for their ability to easily handle complex patient data and to accurrately calculate and test survivor functions, Cox proportional hazards model and the log-linear (accelerated failure time) model.

BMDP Survival Analysis program 1L carries out two major functions:

  1. It provides estimates of the survival functions
  2. It compares survival functions across different subgroups

Major Features include

  • Life Table and Kaplan-Meier estimates of survival distribution
  • Survival curves for all or subsets of patients
  • Tests for equality of survival curves between groups, including Mantel-Cox, Tarone-Ware, Breslow and Peto-Prentice tests.
  • Plots of cumulative survival function, hazard function
  • Stratified Analysis
  • Brookmeyer-Crowley confidence interval for median survival time
  • Special features to handle more unusual analyses types.

BMDP Survival Analysis Program 2L analyzes survival data for which the time-to-response is influenced by other measured variables. BMDP 2L provides 2 methods of analysis:

  1. Cox Proportional Hazards Model
  2. Accelerated Failure Time also known as the “Log-Linear” Model

Major Features Include:

  • Cox proportional hazard models with built-in risk functions
  • Accelerated failure time models (exponential, Weibull, log-logistic, log normal distributions)
  • Optional stepwise variable selections based on two methods
  • Competing risk analysis
  • User specified time-dependent covariates
  • Plots of cumulative survival function, log cumulative hazard function
  • Stratified Analysis
  • Hypothesis tests for joint significance of subsets of regression co-efficients
  • Diagnostic plots (Cox-Snell residuals, standardized residuals Vs. each covariate, log of survival function Vs. time

Discover much more about BMDP for Survival Analysis.
Visit our main BMDP Pages.
Take a free trial of BMDP to try the software for yourself.
Find pricing information.

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