Bioestadistica - Software
     
BIOESTADÍSTICA
Departamento de Estadística e I.O.
Facultad de Medicina
 

 

Software_________


2 x 2 Tables

Programs for the two binomial case
Proportions p1 and p2

Program
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 SMP
2.1
A. Silva Mato
A. Martín Andrés

SMP provides the exact unconditional p-value for comparing two independent binomial proportions (methods of Barnard, Fisher-Boschloo and other). Null hypothesis: H: p2=p1


EXE file 
 SG

3.0
I. Herranz Tejedor
A. Martín Andrés

SG provides the one-tailed exact unconditional p-value for contrasting the null hypothesis:
H: p2-p1 = delta

 


EXE file
 PEG
2.0
I. Herranz Tejedor
A. Martín Andrés

PEG provides the two-tailed exact unconditional p-value for contrasting the null hypothesis:
H: p2-p1 delta_1 or p2-p1 delta_2

   


EXE file

 SDG
3.1
I. Herranz Tejedor
A. Martín Andrés

SDG provides the two-tailed exact unconditional p-value for contrasting the null hypothesis
H:delta_1 p2-p1 delta_2

   
 Z_EQUIV
1.4
I. Herranz Tejedor
A. Martín Andrés
Z_EQUIV provides the unconditional approximate p-value for the SG, SDG and PEG tests described above.   

EXE file
 Z_LINEAR
1.1
I. Herranz Tejedor
A. Martín Andrés
Z_LINEAR provides the one or two-tailed unconditional approximate p-value for contrasting the null hypothesis
H: p2= alfa + beta p1

EXE file
Programs for the multinomial case
Proportions pi = p_i1 / (p_i1 + p_i2 )
Program
Version and Author(s)

Description

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 TMP
2.0
J.M. Tapia García
A. Martín Andrés
TMP provides the one or two tailed exact unconditional p-value for testing the independence in a 2x2 table. Null hyoithesis:
H: p1=p2

EXE file
 SG_ASO

2.1
J.M. Tapia García
A. Martín Andrés
M.J. del Moral Ávila

SG_ASO provides the one-tailed exact and asymptotical unconditional p-value for contrasting the null hypothesis:
H: p2-p1 = delta

EXE file
 EQUIV_ASO

1.0
J.M. Tapia García
A. Martín Andrés
M.J. del Moral Ávila

EQUIV_ASO provides the two-tailed exact and asymptotical unconditional p-value for contrasting the nulls hypothesis:
H: p2-p1 delta_1 or p2-p1 delta_2
H: delta_1 p2-p1 delta_2


EXE file
Tables of critical regions
Table
Version and Author(s)
Description
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 CRBIND
 1.0
J.M. Tapia García
A. Martín Andrés
CRBIND provides tables of critical regions for testing the independence in a 2x2 table (multinomial case)  by means of the exact unconditional Barnard's test.
 CRB2P
 1.0
A. Silva Mato
A. Martín Andrés
CRB2P provides critical region tables for comparing two independent binomial proportions by means of the unconditional Barnard's test.

 CRFISHER

CRFISHER provides tables of critical regions for testing the independence in a 2x2 table (hypergeometric case) by means of the Fisher´s exact test.
Programs for the chi squared test and validity conditions for the three models
Program
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Z_INDEP
Z_INDEP provides the asymptotic chi-squared test (and its validity condition) for testing the independence in a 2x2 table for the model I (no fixed marginals) , II (one marginal fixed) and III (two marginal fixed)

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2 x k Tables
Programs for a linear combination of K binomial proportions (p1 to pk)
Program
Version and Author(s)
Description
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Z_LINEAR_K

Z_LINEAR_K provides the asymptotical inferences (tests and confidence intervals) for the parameters L=Beta1*p1+…+BetaK*pK (a linear function of K independent proportions) or R=p2/p1 (the relative risk), by means of the optimal procedures and the score procedure.

Additionally, the program also determines the contrast
{ bi0 } ( S bi0 = 0) that makes the maximum of the score statistic (which provides a homogeneity test for 2xK tables alternative to the classical Pearson chi-squared).


EXE
file

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Programs for the multivariate hypergeometric distribution
and 2 x c contingency tables
Program
Version and Author(s)
Description
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MHD2xc
MHD2xc provides a maximum probability point (mode) of the multivariate hypergeometric distribution (and the probability of this point) and a maximum probability 2xc contingency table with fixed marginal sums and row and column independence.

EXE
file

 MHD2xc_s

MHD2xc_s provides all maximum probability points (modes) of the multivariate hypergeometric distribution (and the probability of this points) and all maximum probability 2xc contingency tables with fixed marginal sums and row and column independence.
FET2xc
FET2xc implements Fisher's Exact Test in 2xc contingency tables, and it provides both the probability of the observed 2xc table and the exact p-value of the test.
FET2xc_e
FET2xc_e implements Fisher's Exact Test in 2xc contingency tables, and it provides both the probability of the observed 2xc table and the exact p-value of the test.
FET2xc_i
FET2xc_i implements Fisher's Exact Test in 2xc contingency tables, with both the computing time and the amount of memory required being controlled by the requested number of exact figures in the p-value of the test.
FET2xc_ie
FET2xc_ie implements Fisher's Exact Test in 2xc contingency tables, with both the computing time and the amount of memory required being controlled by the requested number of exact figures in the p-value of the test.

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r x c Tables
Programs for r x c contingency tables
Program
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PD_T_rxc PD_T_rxc provides the probability distribution of the rxc tables with fixed marginal sums and row and column independence. It provides several output options (see additional information)
Int_MPT_rxc

Int_MPT_rxc is an interactive program to obtain maximum probability rxc contingency tables under row and column independence.

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Programs for Other Purposes

 

Program
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Description

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 DELTA
4.1.1
P. Femia Marzo
A. Martín Andrés

DELTA provides the “Delta” and “Kappa” measures of the agreement between two raters (categorical data).


EXE file

Comparison of Predictive Values-Two-Binary-Tests
J.A. Roldán Nofuentes
J.D. Luna del Castillo
M.A. Montero Alonso

Routine written in Wolfram Mathematica 7 to compare the positive and negative predictive values of two binary diagnostic tests

 
SCPVTBT
J.A. Roldán Nofuentes
J.D. Luna del Castillo
M.A. Montero Alonso
Program written in R to perform the simultaneous comparison of predictive values of two binary diagnostic tests.  
ewkcccs
J.A. Roldán Nofuentes Estimation of the Weighted Kappa Coefficient subject to a Case Control Study  

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