ocmath_surviv_weibull_simple

1 Description
2 Syntax
3 Parameters
4 Return
5 Examples
6 Remark
7 See Also
8 header to Include
9 Reference

Description

Survival Analysis function used to compute the parameter estimates and other statistics that are associated with the Weibull model without covariates. The main engine is nag_estim_weibull.

Syntax

int ocmath_surviv_weibull_simple( const double * pTime, uint nTime, const double * pCensor, uint nCensor, const double * pCensored, uint nCensoredVal, const double dConfLevel, double * pCriterion, SASummary * psSASummary, SAParaEstim * psSAParaEstim, uint nSizeParaEstim )

Parameters

pTime: [input] pointer to time values
nTime: [input] size of time values.
pCensor: [input] pointer to censor values
nCensor: [input] size of censor values
pCensored: [input] pointer to Censored value. Please make sure that value of pCensored are all in pCensor and value are unduplicated.
nCensoredVal: [input] size of censored values, which needs to be less than 20
dConfLevel: [input] confidence level of LCI and UCL of parameter estimate
pCriterion: [Output] pointer to the maximum log-likelihood.
psSASummary: [output] pointer to structure containing summary of event and censored values.
psSAParaEstim: [output] pointer to structure containing parameter estimates.
nSizeParaEstim: [input] Number of structure psSAParaEstim, should always be 4.

Return

Returns STATS_NO_ERROR on successful exit or an STATS error code on failure.

Examples

EX1

#include <ocStats.h>
void weibull_test()
{    
    vector vTime={1.1,1.4,1.3,1.7,1.9,1.8,1.6,2.2,1.7,2.7,4.1,1.8,1.5,1.2,1.4,3,1.7,2.3,1.6,2};
    vector vCensor={5,0,1,0,0,3,4,0,0,2,0,0,0,0,0,0,0,0,0,0};
    vector vCensored={1,2,3,4};
    
    int nTime=vTime.GetSize();
    int nCensor=vCensor.GetSize();
    int nCensored=vCensored.GetSize();
    SASummary psSASummary;    
    SAParaEstim psSAParaEstim[4];
    double dConfLevel=0.95;    
    double dCriterion;
    int nSizeParaEstim=4;
      
    ocmath_surviv_weibull_simple(vTime,
                                 nTime,
                                 vCensor,
                                 nCensor, 
                                 vCensored, 
                                 nCensored, 
                                 dConfLevel,
                                 &dCriterion,
                                 &psSASummary,
                                 psSAParaEstim,
                                 nSizeParaEstim);
}