| Software Item |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| ALIGNEDPAIRS: Stata module to perform the aligned ranks test for matched pairs (Hodges-Lehmann) |
0 |
0 |
1 |
21 |
2 |
4 |
11 |
233 |
| ALIGNEDRANKS: Stata module to perform a two-sample aligned rank-sum (Hodges-Lehmann) test with exact statistics for small samples |
1 |
1 |
2 |
52 |
5 |
7 |
22 |
536 |
| ALIGNEDSETS: Stata module to perform aligned ranks test for matched sets (Hodges-Lehmann) |
0 |
1 |
2 |
12 |
2 |
4 |
8 |
138 |
| ALPHAPLOT: Stata module to plot Cronbach's alpha for increasing subsets of a variable list |
0 |
0 |
0 |
0 |
1 |
5 |
5 |
5 |
| ASCVD: Stata module to compute ACC/AHA 10-year risk for an initial hard atherosclerotic cardiovascular disease (ASCVD) event |
2 |
5 |
34 |
100 |
6 |
25 |
111 |
321 |
| AUTO_FACTOR: Stata module to automate data and method checks for factor analysis |
1 |
2 |
2 |
2 |
4 |
16 |
16 |
16 |
| BHAPKAR: Stata module to compute Bhapkar's test of marginal homogeneity between two raters for categorical observations |
0 |
0 |
0 |
0 |
3 |
5 |
14 |
53 |
| BLOOD_GLUCOSE: Stata module for converting between HbA1c and blood glucose values |
0 |
0 |
0 |
0 |
1 |
5 |
12 |
12 |
| BMI: Stata module to compute Body Mass Index |
1 |
1 |
9 |
312 |
3 |
12 |
63 |
2,618 |
| BMTEST: Stata module for computing the independent two-sample Brunner-Munzel test |
0 |
1 |
9 |
19 |
0 |
9 |
111 |
173 |
| CENTILE2: Stata module to enhance centile command and provide additional definitions for computing sample quantiles |
0 |
0 |
0 |
1 |
1 |
3 |
6 |
36 |
| CIFUNCTION: Stata module for computing and graphically displaying all possible confidence intervals around a point estimate |
0 |
0 |
2 |
19 |
2 |
4 |
13 |
325 |
| CLASSTAB: Stata module or computing diagnostic accuracy statistics and classification table |
0 |
1 |
3 |
105 |
1 |
3 |
15 |
1,019 |
| COVBAL: Stata module for producing covariate balance statistics |
1 |
2 |
18 |
530 |
14 |
33 |
112 |
3,023 |
| CSUM: Stata module to compute cumulative sum (CUSUM) charts for monitoring clinical performance |
0 |
1 |
2 |
5 |
1 |
7 |
39 |
60 |
| CSUMCHART: Stata module to compute cumulative sum (CUSUM) charts for monitoring clinical performance |
0 |
0 |
3 |
4 |
4 |
8 |
23 |
40 |
| CTA: Stata module for conducting Classification Tree Analysis |
0 |
0 |
9 |
151 |
3 |
7 |
72 |
904 |
| CVEQUAL: Stata module to compute the equality of coefficients of variation (CV) from k populations |
0 |
2 |
3 |
8 |
0 |
3 |
11 |
48 |
| DIAGSAMPSI: Stata module for computing sample size for a single diagnostic test with a binary outcome |
2 |
2 |
19 |
266 |
10 |
21 |
130 |
1,652 |
| DISTILL: Stata module to assess heterogeneous treatment effects in randomized controlled trials |
0 |
0 |
1 |
4 |
1 |
3 |
9 |
51 |
| DISTPROBMAT: Stata module to compute distance/similarity measures between two probability density matrices |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
| DRMMWS: Stata module to perform doubly-robust marginal mean weighting through stratification |
0 |
0 |
0 |
70 |
3 |
8 |
19 |
385 |
| ELIX22: Stata module to compute Elixhauser comorbidity measures (version 2022.1) |
3 |
10 |
30 |
92 |
14 |
38 |
144 |
360 |
| ESIZEREG: Stata module for computing the effect size based on a linear regression coefficient |
2 |
6 |
25 |
291 |
22 |
54 |
179 |
2,487 |
| EVALUE: Stata module for conducting sensitivity analyses for unmeasured confounding in observational studies |
0 |
5 |
44 |
687 |
21 |
51 |
271 |
3,788 |
| EVALUE_ESTAT: Stata module for conducting postestimation sensitivity analyses of unmeasured confounding in observational studies |
1 |
3 |
7 |
27 |
4 |
14 |
33 |
263 |
| FINN: Stata module to compute Finn's coefficient of reliability |
0 |
0 |
1 |
14 |
0 |
3 |
16 |
101 |
| FRAGILITY: Stata module to compute the fragility index and quotient |
1 |
1 |
5 |
34 |
1 |
4 |
16 |
271 |
| FRAMINGHAM: Stata module for calculating the Framingham 10-year Cardiovascular Disease Risk Prediction |
2 |
3 |
25 |
818 |
5 |
12 |
91 |
2,272 |
| FUNNELINST: Stata module to generate funnel plots for comparing institutional performance |
0 |
1 |
7 |
18 |
3 |
9 |
36 |
113 |
| GENIDSEQ: Stata module for generating a numeric sequence to represent long identifiers |
0 |
0 |
0 |
6 |
1 |
1 |
4 |
68 |
| GETREGSTATS: Stata module for computing all values in a regression table when only the coefficient and one other statistic is available |
0 |
0 |
1 |
13 |
1 |
2 |
5 |
104 |
| HALFNORM_DIST: Stata module for computing half-normal distribution functions |
0 |
1 |
2 |
3 |
2 |
4 |
24 |
33 |
| IOTA: Stata module to compute the iota coefficient of interrater agreement for interval or nominal multivariate observations |
0 |
0 |
3 |
5 |
0 |
3 |
9 |
49 |
| ITSA: Stata module to perform interrupted time series analysis for single and multiple groups |
5 |
22 |
96 |
3,054 |
25 |
93 |
402 |
12,985 |
| ITSADGP: Stata module to generate artificial data for interrupted time-series analysis |
1 |
2 |
7 |
7 |
3 |
6 |
45 |
45 |
| ITSAMATCH: Stata module to perform matching in multiple group interrupted time-series analysis |
0 |
3 |
17 |
306 |
2 |
17 |
75 |
1,312 |
| ITSAPERM: Stata module to perform permutation tests for matched multiple group interrupted time series analysis |
1 |
2 |
4 |
38 |
3 |
5 |
35 |
275 |
| ITSARAND: Stata module for conducting randomization tests for single-case and multiple-baseline AB phase designs |
0 |
1 |
9 |
38 |
6 |
9 |
48 |
187 |
| KFOLDCLASS: Stata module for generating classification statistics of k-fold cross-validation for binary outcomes |
0 |
1 |
4 |
164 |
4 |
9 |
27 |
1,135 |
| LOASAMPSI: Stata module to compute power and sample size for limits of agreement (LOA) analysis |
0 |
0 |
2 |
45 |
2 |
5 |
20 |
294 |
| LOGLOSS: Stata module for computing the log loss metric for binary outcome models |
0 |
1 |
1 |
1 |
3 |
9 |
38 |
38 |
| LOOCLASS: Stata module for generating classification statistics of Leave-One-Out cross-validation for binary outcomes |
0 |
0 |
3 |
73 |
2 |
4 |
16 |
575 |
| MARKOVCI: Stata module for computing nonparametric bootstrapped confidence intervals for discrete time Markov chains |
0 |
0 |
0 |
0 |
0 |
1 |
11 |
11 |
| MARKOVFIRSTORDER: Stata module for assessing whether a sequence follows an independent state model or a first-order Markov chain model |
0 |
0 |
0 |
0 |
3 |
5 |
12 |
12 |
| MARKOVFUTUREPROB: Stata module to compute the probability distribution for future periods of a Markov chain |
0 |
0 |
0 |
0 |
0 |
3 |
6 |
6 |
| MARKOVMEANRECURRENCE: Stata module to compute the mean recurrence time for an ergodic Markov chain |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
2 |
| MARKOVMFPT: Stata module to compute mean first passage time for ergodic Markov chains |
0 |
0 |
1 |
1 |
0 |
1 |
11 |
11 |
| MARKOVPREDICT: Stata module for predicting the next state of a Markov chain model given specified past states |
0 |
0 |
0 |
0 |
0 |
3 |
3 |
3 |
| MARKOVSTEADYSTATE: Stata module to compute steady state probabilities for Markov chains |
0 |
0 |
0 |
0 |
1 |
2 |
8 |
8 |
| MARKOVTHEOTRANS: Stata module to test whether a discrete time Markov chain is consistent with a theoretical transition matrix |
0 |
0 |
3 |
3 |
1 |
3 |
13 |
13 |
| MATCHI2: Stata module for calculating Pearson's chi-squared from a two-way matrix of frequency counts |
0 |
0 |
2 |
2 |
0 |
1 |
18 |
18 |
| MAXSUM: Stata module to compute the maximum value of a rolling sum |
0 |
0 |
1 |
3 |
0 |
0 |
3 |
53 |
| MAXWELL: Stata module for computing Maxwell's random error (RE) coefficient of agreement between 2 raters for binary data |
0 |
0 |
1 |
5 |
1 |
6 |
12 |
47 |
| MENGER: Stata module to compute the Menger curvature |
2 |
2 |
2 |
2 |
3 |
10 |
10 |
10 |
| METAFRAG: Stata module to compute the fragility index for meta-analysis |
0 |
0 |
2 |
25 |
0 |
0 |
13 |
238 |
| METAPRED: Stata module producing outlier and influence diagnostics for meta-analysis |
0 |
1 |
3 |
43 |
1 |
3 |
21 |
288 |
| METASTRONG: Stata module for estimating the proportion of true effect sizes above or below a threshold in random-effects meta-analysis |
0 |
0 |
0 |
8 |
2 |
3 |
8 |
93 |
| MMWS: Stata module to perform marginal mean weighting through stratification |
3 |
4 |
10 |
322 |
13 |
23 |
86 |
1,971 |
| MODE: Stata module to display and store the mode of a variable |
0 |
0 |
0 |
0 |
4 |
13 |
21 |
21 |
| MOUNTAINPLOT: Stata module to produce folded empirical distribution function curves (mountain plots) |
0 |
0 |
0 |
18 |
1 |
1 |
9 |
81 |
| MPR: Stata module for computing the Medication Possession Ratio |
0 |
2 |
2 |
62 |
4 |
11 |
15 |
295 |
| NORM_DIST: Stata module providing normal and inverse normal distribution functions with added mean and standard deviation |
0 |
0 |
1 |
9 |
1 |
6 |
31 |
131 |
| ODA: Stata module for conducting Optimal Discriminant Analysis (Windows only) |
0 |
0 |
6 |
70 |
2 |
5 |
26 |
428 |
| ORDCATSAMPSI: Stata module to compute power and sample size for ordered categorical outcomes |
0 |
0 |
4 |
47 |
0 |
6 |
28 |
249 |
| PACE: Stata module to convert between minutes per mile and miles per hour |
0 |
0 |
0 |
0 |
1 |
1 |
8 |
8 |
| PDC: Stata module for computing the Proportion of Days Covered (of a medication) |
1 |
2 |
12 |
124 |
3 |
17 |
50 |
569 |
| POWER_ARIMA_ITSA: Stata module to compute power for an interrupted time series intervention evaluated using ARIMA with AR(1) errors |
1 |
1 |
1 |
1 |
2 |
10 |
10 |
10 |
| POWER_CONCORD: Stata module to compute power and sample size for Lin's concordance correlation coefficient |
0 |
1 |
5 |
14 |
2 |
10 |
30 |
106 |
| POWER_DIAGNOSTIC: Stata module to compute power and sample size for sensitivity and specificity of a diagnostic test |
1 |
2 |
5 |
29 |
3 |
11 |
75 |
317 |
| POWER_ICC: Stata module to compute power and sample size for one-way random-effects intraclass correlation |
0 |
2 |
5 |
8 |
0 |
6 |
26 |
90 |
| POWER_ITSA: Stata module to compute power for single and multiple-group interrupted time series analysis |
0 |
0 |
3 |
3 |
6 |
16 |
46 |
46 |
| POWER_KAPPA: Stata module to compute power and sample size for the two-rater kappa statistic with two or more categories |
0 |
0 |
5 |
16 |
2 |
8 |
45 |
94 |
| POWER_LOA: Stata module to compute power and sample size for limits of agreement (LOA) analysis |
0 |
1 |
7 |
20 |
1 |
11 |
39 |
104 |
| POWER_ONEROC: Stata module to compute power and sample size for a one-sample ROC test |
0 |
2 |
7 |
38 |
1 |
4 |
39 |
335 |
| POWER_ROC: Stata module to compute power and sample-size analysis for receiver operating characteristic (ROC) analysis |
0 |
3 |
16 |
72 |
11 |
35 |
184 |
770 |
| POWER_STEP: Stata module to compute power for a step intervention with AR(1) Error |
0 |
0 |
0 |
0 |
1 |
3 |
18 |
18 |
| POWER_TWOROC: Stata module to compute power and sample size for a two-sample (independent or paired) ROC test |
0 |
0 |
1 |
9 |
4 |
8 |
15 |
60 |
| PREVENT: Stata module for computing AHA 10-year and 30-year risk of cardiovascular disease--atherosclerotic and heart failure |
0 |
7 |
29 |
42 |
9 |
34 |
127 |
186 |
| PSTRATA: Stata module for optimal propensity score stratification |
0 |
1 |
6 |
131 |
2 |
6 |
29 |
761 |
| QQPLOT3: Stata module to plot the unweighted and weighted quantiles of one variable against the corresponding quantiles of another |
0 |
1 |
3 |
70 |
0 |
2 |
16 |
793 |
| R2_NAKAGAWA: Stata module for computing Nakagawa's R-squared statistic for multilevel mixed-effects linear regression |
1 |
3 |
10 |
16 |
2 |
22 |
78 |
123 |
| RANDMARKOVSEQ: Stata module to compute a random sequence of values from an underlying discrete time Markov chain |
0 |
0 |
4 |
4 |
2 |
3 |
10 |
10 |
| RANDTREATSEQ: Stata module for generating treatments in a random sequence for each individual in the sample |
0 |
0 |
2 |
7 |
1 |
4 |
6 |
85 |
| REPEATABILITY: Stata module to compute the repeatability coefficient |
0 |
0 |
1 |
9 |
1 |
5 |
26 |
126 |
| RETRODESIGN: Stata module to compute type-S (Sign) and type-M (Magnitude) errors |
0 |
0 |
6 |
48 |
0 |
2 |
18 |
245 |
| RMCLASS: Stata module to compute classification statistics for data with repeated measures |
0 |
0 |
0 |
3 |
0 |
1 |
9 |
33 |
| RMCORR: Stata module to compute a correlation for data with repeated measures |
1 |
1 |
14 |
178 |
9 |
22 |
102 |
1,243 |
| RMLOA: Stata module to compute limits of agreement for data with repeated measures |
0 |
0 |
2 |
44 |
0 |
5 |
31 |
389 |
| ROBINSON: Stata module to compute Robinson's coefficient of agreement |
0 |
0 |
0 |
1 |
1 |
3 |
8 |
61 |
| ROCTABI: Stata module for performing nonparametric ROC analysis using summarized data |
0 |
0 |
2 |
97 |
1 |
2 |
16 |
580 |
| ROSNER: Stata module implementing Rosner's generalized extreme studentized deviate (ESD) procedure to detect multiple outliers |
1 |
3 |
8 |
10 |
2 |
6 |
20 |
56 |
| ROTATESORT: Stata module to sort factors in descending order of loadings after rotate |
0 |
0 |
0 |
0 |
1 |
6 |
6 |
6 |
| RTMCI: Stata module to estimate regression to the mean effects with confidence intervals |
0 |
0 |
1 |
255 |
0 |
2 |
9 |
1,210 |
| RWRMED: Stata module for performing causal mediation analysis using regression-with-residuals |
0 |
1 |
8 |
134 |
4 |
9 |
59 |
768 |
| R_TO_D: Stata module for converting Pearson's r to Cohen's d |
0 |
0 |
0 |
12 |
0 |
1 |
5 |
150 |
| SCHEME_SCIENTIFIC: Stata module to provide a graphic scheme favored by many scientific journals |
1 |
1 |
2 |
132 |
2 |
7 |
23 |
751 |
| SEQFIND: Stata module to find the sequence of a numeric character within a variable list |
0 |
0 |
1 |
11 |
0 |
1 |
5 |
82 |
| SEQUENCES: Stata module for generating versatile numeric sequences |
0 |
0 |
0 |
86 |
1 |
4 |
11 |
1,674 |
| SPLITHALF: Stata module to compute split-half reliability |
0 |
0 |
0 |
0 |
5 |
7 |
7 |
7 |
| STBRIER: Stata module to compute Brier score for censored time-to-event (survival) data |
1 |
4 |
15 |
177 |
4 |
25 |
79 |
1,082 |
| SVALUE: Stata module for computing and graphically displaying S-values against their respective P-values |
0 |
0 |
0 |
33 |
0 |
3 |
12 |
936 |
| SVYSAMPSI: Stata module to calculate sample size for a simple random survey with a dichotomous outcome |
0 |
0 |
4 |
297 |
2 |
8 |
42 |
2,443 |
| USOS: Stata module for computing the unweighted sum of squares test for global goodness of fit after logistic model |
0 |
0 |
1 |
3 |
1 |
1 |
6 |
35 |
| WSCV: Stata module to compute the within-subject coefficient of variation |
0 |
0 |
1 |
11 |
4 |
6 |
28 |
120 |
| XTITSA: Stata module for performing interrupted time-series analysis for panel data |
7 |
16 |
72 |
472 |
35 |
90 |
349 |
2,678 |
| Total Software Items |
44 |
142 |
709 |
10,652 |
355 |
1,078 |
4,447 |
61,554 |
LogEc is hosted by the
Örebro University School of Business.