Software Item |
File Downloads |
Abstract Views |
Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
ASCII: Stata module to display the ASCII character set |
0 |
0 |
0 |
232 |
0 |
1 |
8 |
1,567 |
BATPLOT: Stata module to produce Bland-Altman plots accounting for trend |
1 |
7 |
24 |
2,262 |
6 |
23 |
119 |
10,492 |
BETAPRIOR: Stata module to calculate the parameters of a Beta distribution given the mean and variance |
0 |
0 |
2 |
103 |
0 |
3 |
15 |
830 |
BLIST: Stata module to list values of variables in as small a space as possible |
0 |
0 |
0 |
89 |
0 |
0 |
7 |
925 |
BUGSDAT: Stata module to convert a Stata datafile into the S-plus format used in Winbugs |
0 |
0 |
1 |
100 |
0 |
0 |
5 |
545 |
CDFPLOT: Stata module to plot a cumulative distribution function |
0 |
5 |
35 |
3,339 |
8 |
42 |
203 |
18,923 |
CEDESIGN: Stata module to find the optimal flexible two stage single-arm binary outcome design |
0 |
0 |
0 |
14 |
0 |
1 |
3 |
129 |
CLUMP: Stata module to compute permutation test approach to assessing genetic associations with case/control status |
0 |
0 |
2 |
146 |
1 |
1 |
4 |
936 |
CONTOUR: Stata module to draw contour plots |
1 |
2 |
2 |
505 |
2 |
3 |
7 |
2,665 |
CRM: Stata module to implement the continual reassessment model |
0 |
0 |
6 |
67 |
0 |
5 |
23 |
400 |
DOPTIMAL: Stata module to find the D-optimal Design for Dose Ranging studies |
0 |
1 |
10 |
49 |
1 |
3 |
19 |
189 |
DRAREA: Stata module to overlap two range area plots |
0 |
0 |
1 |
461 |
0 |
1 |
29 |
3,185 |
GIPF: Stata module to graphically display a log-linear model |
0 |
1 |
1 |
155 |
1 |
2 |
3 |
1,105 |
GRAPHBINARY: Stata module to plot explanatory variables vs binary outcome |
0 |
0 |
0 |
202 |
0 |
0 |
2 |
1,494 |
HAPBLOCK: Stata module to perform haplotype analysis to identify the edges of haplotype blocks |
0 |
0 |
2 |
229 |
1 |
2 |
18 |
1,216 |
HAPIPF: Stata module to perform haplotype analysis |
0 |
0 |
0 |
421 |
3 |
5 |
7 |
1,654 |
HOTDECK: Stata module to impute missing values using the hotdeck method |
3 |
5 |
29 |
2,459 |
14 |
41 |
166 |
11,721 |
INTEGRATE: Stata module to perform one-dimensional integration |
0 |
0 |
2 |
411 |
1 |
2 |
9 |
2,640 |
INTEGRATE_AQ: Stata module to do adaptive quadrature for integrals |
1 |
2 |
7 |
38 |
1 |
3 |
14 |
176 |
IPF: Stata module to perform log-linear modelling using Iterative Proportional Fitting |
0 |
0 |
3 |
505 |
0 |
0 |
9 |
1,934 |
LARS: Stata module to perform least angle regression |
0 |
1 |
6 |
1,743 |
6 |
11 |
56 |
8,488 |
MAKEHLP: Stata module to automatically create a help file |
1 |
2 |
8 |
161 |
1 |
5 |
29 |
931 |
MATPWCORR: Stata module to takes the output from pwcorr and creates the corresponding matrices |
0 |
0 |
21 |
1,512 |
11 |
19 |
127 |
6,390 |
METAGRAPH: Stata module to draw Forrest plot after meta command |
0 |
0 |
2 |
868 |
0 |
1 |
4 |
4,007 |
MMODES: Stata module to calculate the mode for a numeric varlist |
0 |
0 |
7 |
1,476 |
8 |
14 |
84 |
10,976 |
MTPI: Stata module for the modified Toxicity Probability Interval design |
0 |
1 |
3 |
17 |
0 |
4 |
11 |
134 |
MVTNORM: Stata module to work with the multivariate normal and multivariate t distributions, with and without variable truncation |
0 |
0 |
3 |
180 |
2 |
8 |
45 |
1,550 |
OVERLAY: Stata module to overlay multiple x vs y graphs |
0 |
1 |
6 |
1,820 |
5 |
19 |
64 |
12,211 |
PALETTE_ALL: Stata module to display all the named colours in Stata |
1 |
1 |
1 |
103 |
1 |
3 |
10 |
837 |
PIPE: Stata module to perform a curve-free dual-agent dose-escalation design |
0 |
0 |
0 |
6 |
0 |
0 |
2 |
34 |
PLOTBETA: Stata module to plot linear combinations of coefficients |
3 |
4 |
28 |
700 |
6 |
23 |
142 |
3,579 |
PLOTMATRIX: Stata module to plot values of a matrix as different coloured blocks |
0 |
2 |
10 |
687 |
1 |
7 |
50 |
4,604 |
PLSSAS: Stata module to execute SAS partial least squares procedure (Windows only) |
4 |
4 |
5 |
792 |
7 |
10 |
21 |
3,575 |
PROFHAP: Stata module to construct profile likelihood confidence intervals for haplotype analysis |
0 |
0 |
1 |
100 |
0 |
0 |
3 |
648 |
QHAPIPF: Stata module to perform analysis of quantitative traits using regression and log-linear modelling when PHASE is unknown |
0 |
0 |
0 |
194 |
0 |
0 |
3 |
835 |
RADAR: Stata module to draw radar (spider) plots |
0 |
1 |
23 |
1,749 |
5 |
17 |
114 |
7,443 |
REPORT: Stata module to produce tables for XML |
2 |
2 |
2 |
38 |
3 |
3 |
3 |
182 |
SAMPLESIZE: Stata module to execute sampsi multiple times and produce a graph |
0 |
0 |
5 |
370 |
1 |
5 |
20 |
1,835 |
SAMPSI_FLEMING: Stata module to compute exact sample size calculation for single-stage designs |
0 |
1 |
2 |
112 |
0 |
3 |
11 |
710 |
SAMPSI_GEHAN: Stata module to give the parameters of the single stage Gehan design |
0 |
0 |
0 |
8 |
0 |
0 |
2 |
59 |
SAMPSI_MCC: Stata module to calculate Sample Size or Power for Matched Case-Control Studies |
0 |
0 |
3 |
1,166 |
3 |
5 |
29 |
5,436 |
SAMPSI_REG: Stata module to calculate the sample size/power for linear regression |
0 |
0 |
4 |
836 |
3 |
6 |
18 |
4,494 |
SAMPSI_RHO: Stata module to compute sample size for a Pearson correlation |
0 |
0 |
0 |
439 |
0 |
0 |
5 |
2,712 |
SIMON2STAGE: Stata module to to compute the design parameters for a Simon two-stage design |
1 |
2 |
10 |
281 |
2 |
7 |
32 |
1,611 |
SIMPUTE: Stata module to evaluate the effect of missing data on a published clinical trial |
0 |
0 |
0 |
7 |
1 |
1 |
4 |
173 |
SURFACE: Stata module to draw a 3D wireform surface plot |
1 |
3 |
15 |
1,960 |
10 |
21 |
83 |
11,464 |
SWBLOCK: Stata module to perform parsimonious model selection in haplotype analysis |
0 |
0 |
0 |
116 |
0 |
1 |
4 |
1,018 |
TACTS: Stata module to provide a clinical trial simulator |
0 |
2 |
6 |
10 |
2 |
6 |
25 |
86 |
TRELLIS: Stata module to create a trellis graph |
0 |
0 |
0 |
264 |
3 |
5 |
15 |
2,074 |
WCLOGIT: Stata module to perform conditional logistic regression with within-group varying weights |
0 |
3 |
6 |
361 |
1 |
8 |
25 |
3,050 |
WHOTDECK: Stata module to perform multiple imputation using the Approximate Bayesian Bootstrap with weights |
0 |
0 |
1 |
547 |
0 |
0 |
6 |
2,346 |
Total Software Items |
19 |
53 |
305 |
30,410 |
121 |
350 |
1,717 |
166,218 |