| 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 |
2 |
23 |
1 |
4 |
19 |
248 |
| ALIGNEDRANKS: Stata module to perform a two-sample aligned rank-sum (Hodges-Lehmann) test with exact statistics for small samples |
0 |
0 |
3 |
54 |
4 |
5 |
34 |
563 |
| ALIGNEDSETS: Stata module to perform aligned ranks test for matched sets (Hodges-Lehmann) |
0 |
0 |
1 |
12 |
0 |
1 |
17 |
151 |
| ALPHAPLOT: Stata module to plot Cronbach's alpha for increasing subsets of a variable list |
0 |
0 |
0 |
0 |
2 |
8 |
32 |
32 |
| ARIMA_FORECAST: Stata module to compute ARIMA forecast standard errors and generate dynamic forecasts |
0 |
1 |
4 |
4 |
1 |
5 |
27 |
27 |
| ASCVD: Stata module to compute ACC/AHA 10-year risk for an initial hard atherosclerotic cardiovascular disease (ASCVD) event |
0 |
0 |
15 |
110 |
2 |
9 |
92 |
388 |
| AUTO_FACTOR: Stata module to automate data and method checks for factor analysis |
0 |
0 |
2 |
2 |
2 |
6 |
38 |
38 |
| BETARK: Stata module for computing Beta regression with autoregressive-corrected errors for proportion outcomes, by joint conditional maximum likelihood |
0 |
0 |
0 |
0 |
0 |
3 |
3 |
3 |
| BHAPKAR: Stata module to compute Bhapkar's test of marginal homogeneity between two raters for categorical observations |
0 |
0 |
0 |
0 |
0 |
0 |
14 |
62 |
| BINOMCI: Stata module to compute confidence intervals for binomial proportions using 12 methods |
0 |
0 |
2 |
2 |
1 |
3 |
20 |
20 |
| BLOOD_GLUCOSE: Stata module for converting between HbA1c and blood glucose values |
0 |
0 |
0 |
0 |
0 |
0 |
15 |
22 |
| BMI: Stata module to compute Body Mass Index |
0 |
1 |
2 |
313 |
2 |
5 |
36 |
2,642 |
| BMTEST: Stata module for computing the independent two-sample Brunner-Munzel test |
0 |
0 |
6 |
24 |
0 |
3 |
29 |
193 |
| CENTILE2: Stata module to enhance centile command and provide additional definitions for computing sample quantiles |
0 |
0 |
1 |
2 |
0 |
0 |
14 |
47 |
| CIFUNCTION: Stata module for computing and graphically displaying all possible confidence intervals around a point estimate |
0 |
0 |
1 |
20 |
0 |
0 |
12 |
333 |
| CLASSTAB: Stata module or computing diagnostic accuracy statistics and classification table |
0 |
0 |
1 |
105 |
24 |
27 |
45 |
1,061 |
| COVBAL: Stata module for producing covariate balance statistics |
1 |
2 |
7 |
535 |
1 |
10 |
78 |
3,068 |
| CSUM: Stata module to compute cumulative sum (CUSUM) charts for monitoring clinical performance |
0 |
0 |
3 |
7 |
2 |
2 |
22 |
75 |
| CSUMCHART: Stata module to compute cumulative sum (CUSUM) charts for monitoring clinical performance |
0 |
0 |
0 |
4 |
1 |
1 |
26 |
58 |
| CTA: Stata module for conducting Classification Tree Analysis |
0 |
0 |
2 |
153 |
1 |
2 |
29 |
926 |
| CVEQUAL: Stata module to compute the equality of coefficients of variation (CV) from k populations |
0 |
0 |
3 |
9 |
0 |
2 |
15 |
60 |
| CVMTEST: Stata module to perform a k-sample Cramer-von Mises equality-of-distributions test |
0 |
0 |
1 |
1 |
0 |
1 |
26 |
26 |
| DIAGSAMPSI: Stata module for computing sample size for a single diagnostic test with a binary outcome |
0 |
0 |
3 |
267 |
2 |
5 |
82 |
1,713 |
| DISTILL: Stata module to assess heterogeneous treatment effects in randomized controlled trials |
0 |
0 |
0 |
4 |
0 |
0 |
10 |
58 |
| DISTPROBMAT: Stata module to compute distance/similarity measures between two probability density matrices |
0 |
0 |
0 |
0 |
0 |
0 |
11 |
13 |
| DRMMWS: Stata module to perform doubly-robust marginal mean weighting through stratification |
0 |
0 |
0 |
70 |
0 |
1 |
18 |
395 |
| ELIX22: Stata module to compute Elixhauser comorbidity measures (version 2022.1) |
0 |
0 |
23 |
105 |
2 |
8 |
103 |
425 |
| ESIZEREG: Stata module for calculating effect size based on a k-level linear regression coefficient |
1 |
3 |
14 |
299 |
2 |
12 |
125 |
2,558 |
| EVALUE: Stata module for conducting sensitivity analyses for unmeasured confounding in observational studies |
0 |
5 |
19 |
701 |
7 |
40 |
222 |
3,959 |
| EVALUE_ESTAT: Stata module for conducting postestimation sensitivity analyses of unmeasured confounding in observational studies |
2 |
2 |
7 |
31 |
5 |
10 |
42 |
291 |
| FINN: Stata module to compute Finn's coefficient of reliability |
0 |
0 |
0 |
14 |
2 |
2 |
13 |
111 |
| FRAGILITY: Stata module to compute the fragility index and quotient |
0 |
1 |
3 |
36 |
0 |
1 |
13 |
280 |
| FRAMINGHAM: Stata module for calculating the Framingham 10-year Cardiovascular Disease Risk Prediction |
0 |
0 |
3 |
818 |
2 |
3 |
31 |
2,291 |
| FUNNELINST: Stata module to generate funnel plots for comparing institutional performance |
0 |
1 |
4 |
21 |
1 |
4 |
39 |
143 |
| GENIDSEQ: Stata module for generating a numeric sequence to represent long identifiers |
0 |
0 |
0 |
6 |
0 |
0 |
13 |
80 |
| GETREGSTATS: Stata module for computing all values in a regression table when only the coefficient and one other statistic is available |
0 |
0 |
0 |
13 |
0 |
0 |
8 |
110 |
| HALFNORM_DIST: Stata module for computing half-normal distribution functions |
0 |
0 |
1 |
3 |
0 |
0 |
19 |
48 |
| IOTA: Stata module to compute the iota coefficient of interrater agreement for interval or nominal multivariate observations |
0 |
0 |
1 |
6 |
0 |
1 |
14 |
60 |
| ITSA: Stata module to perform interrupted time series analysis for single and multiple groups |
2 |
10 |
56 |
3,088 |
20 |
53 |
336 |
13,228 |
| ITSADGP: Stata module to generate artificial data for interrupted time-series analysis |
0 |
0 |
2 |
7 |
1 |
2 |
22 |
61 |
| ITSAMATCH: Stata module to perform matching in multiple group interrupted time-series analysis |
0 |
0 |
6 |
309 |
1 |
7 |
66 |
1,361 |
| ITSAPERM: Stata module to perform permutation tests for matched multiple group interrupted time series analysis |
0 |
0 |
3 |
39 |
2 |
3 |
26 |
296 |
| ITSARAND: Stata module for conducting randomization tests for single-case and multiple-baseline AB phase designs |
0 |
0 |
2 |
39 |
0 |
0 |
18 |
196 |
| KFOLDCLASS: Stata module for generating classification statistics of k-fold cross-validation for binary outcomes |
0 |
0 |
2 |
165 |
0 |
0 |
22 |
1,148 |
| KUIPERTEST: Stata module to perform a two-sample Kuiper test for equality of distributions |
0 |
0 |
1 |
1 |
1 |
2 |
17 |
17 |
| LOASAMPSI: Stata module to compute power and sample size for limits of agreement (LOA) analysis |
1 |
1 |
3 |
48 |
2 |
3 |
16 |
305 |
| LOGLOSS: Stata module for computing the log loss metric for binary outcome models |
0 |
1 |
3 |
3 |
1 |
2 |
30 |
59 |
| LOOCLASS: Stata module for generating classification statistics of Leave-One-Out cross-validation for binary outcomes |
0 |
0 |
0 |
73 |
0 |
0 |
13 |
584 |
| MARKOVCI: Stata module for computing nonparametric bootstrapped confidence intervals for discrete time Markov chains |
0 |
0 |
0 |
0 |
0 |
0 |
7 |
17 |
| MARKOVFIRSTORDER: Stata module for assessing whether a sequence follows an independent state model or a first-order Markov chain model |
0 |
0 |
0 |
0 |
1 |
1 |
13 |
20 |
| MARKOVFUTUREPROB: Stata module to compute the probability distribution for future periods of a Markov chain |
0 |
0 |
0 |
0 |
1 |
1 |
15 |
18 |
| MARKOVMEANRECURRENCE: Stata module to compute the mean recurrence time for an ergodic Markov chain |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
9 |
| MARKOVMFPT: Stata module to compute mean first passage time for ergodic Markov chains |
0 |
0 |
0 |
1 |
0 |
0 |
8 |
18 |
| MARKOVPREDICT: Stata module for predicting the next state of a Markov chain model given specified past states |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
8 |
| MARKOVSTEADYSTATE: Stata module to compute steady state probabilities for Markov chains |
0 |
0 |
0 |
0 |
0 |
0 |
16 |
22 |
| MARKOVTHEOTRANS: Stata module to test whether a discrete time Markov chain is consistent with a theoretical transition matrix |
0 |
0 |
0 |
3 |
1 |
2 |
12 |
22 |
| MATCHI2: Stata module for calculating Pearson's chi-squared from a two-way matrix of frequency counts |
0 |
0 |
0 |
2 |
3 |
4 |
15 |
32 |
| MAXSUM: Stata module to compute the maximum value of a rolling sum |
0 |
0 |
0 |
3 |
1 |
3 |
9 |
62 |
| MAXWELL: Stata module for computing Maxwell's random error (RE) coefficient of agreement between 2 raters for binary data |
0 |
0 |
0 |
5 |
0 |
0 |
26 |
67 |
| MENGER: Stata module to compute the Menger curvature |
0 |
0 |
2 |
2 |
0 |
2 |
25 |
25 |
| METAFRAG: Stata module to compute the fragility index for meta-analysis |
0 |
0 |
1 |
26 |
1 |
2 |
14 |
252 |
| METAPRED: Stata module producing outlier and influence diagnostics for meta-analysis |
1 |
1 |
3 |
45 |
1 |
2 |
23 |
308 |
| METASTRONG: Stata module for estimating the proportion of true effect sizes above or below a threshold in random-effects meta-analysis |
0 |
0 |
1 |
9 |
1 |
1 |
9 |
99 |
| MLM_GOF: Stata module for computing the goodness-of-fit test after mixed-effects logistic regression |
1 |
2 |
5 |
5 |
2 |
3 |
17 |
17 |
| MMWS: Stata module to perform marginal mean weighting through stratification |
0 |
0 |
5 |
323 |
1 |
11 |
72 |
2,020 |
| MODE: Stata module to display and store the mode of a variable |
0 |
1 |
2 |
2 |
0 |
1 |
36 |
44 |
| MOUNTAINPLOT: Stata module to produce folded empirical distribution function curves (mountain plots) |
0 |
0 |
0 |
18 |
2 |
6 |
27 |
107 |
| MPR: Stata module for computing the Medication Possession Ratio |
0 |
0 |
2 |
62 |
2 |
6 |
41 |
325 |
| NORM_DIST: Stata module providing normal and inverse normal distribution functions with added mean and standard deviation |
0 |
0 |
1 |
10 |
0 |
0 |
29 |
154 |
| OCSB: Stata module to compute the Osborn-Chui-Smith-Birchenhall (OCSB) test for seasonal unit roots |
2 |
3 |
3 |
3 |
2 |
7 |
17 |
17 |
| ODA: Stata module for conducting Optimal Discriminant Analysis (Windows only) |
0 |
0 |
2 |
72 |
0 |
1 |
14 |
437 |
| ORDCATSAMPSI: Stata module to compute power and sample size for ordered categorical outcomes |
0 |
0 |
0 |
47 |
1 |
2 |
20 |
263 |
| PACE: Stata module to convert between minutes per mile and miles per hour |
0 |
0 |
0 |
0 |
0 |
0 |
11 |
18 |
| PDC: Stata module for computing the Proportion of Days Covered (of a medication) |
0 |
1 |
5 |
127 |
0 |
3 |
43 |
595 |
| POISSARK: Stata module to perform Poisson regression with integer-valued autoregressive-corrected standard errors |
0 |
0 |
0 |
0 |
1 |
8 |
8 |
8 |
| POWER_ABK: Stata module to perform power analysis for a balanced (AB)^k design with multiple cases |
0 |
0 |
3 |
3 |
1 |
1 |
20 |
20 |
| POWER_ARIMA_ITSA: Stata module to compute power for an interrupted time series intervention evaluated using ARIMA with AR(1) errors |
0 |
0 |
4 |
4 |
0 |
2 |
35 |
35 |
| POWER_CONCORD: Stata module to compute power and sample size for Lin's concordance correlation coefficient |
0 |
0 |
1 |
14 |
0 |
6 |
26 |
122 |
| POWER_DIAGNOSTIC: Stata module to compute power and sample size for sensitivity and specificity of a diagnostic test |
0 |
0 |
5 |
32 |
0 |
5 |
40 |
346 |
| POWER_ICC: Stata module to compute power and sample size for one-way random-effects intraclass correlation |
0 |
0 |
2 |
8 |
1 |
5 |
63 |
147 |
| POWER_ITSA: Stata module to compute power for single and multiple-group interrupted time series analysis |
0 |
1 |
2 |
5 |
1 |
6 |
57 |
87 |
| POWER_KAPPA: Stata module to compute power and sample size for the two-rater kappa statistic with two or more categories |
0 |
0 |
0 |
16 |
0 |
3 |
16 |
102 |
| POWER_LOA: Stata module to compute power and sample size for limits of agreement (LOA) analysis |
1 |
2 |
6 |
25 |
1 |
3 |
26 |
119 |
| POWER_ONEMEAN_RTM: Stata module to compute power for a regression to the mean-adjusted one-sample mean test |
0 |
0 |
0 |
0 |
6 |
6 |
6 |
6 |
| POWER_ONEROC: Stata module to compute power and sample size for a one-sample ROC test |
0 |
0 |
3 |
39 |
0 |
2 |
27 |
358 |
| POWER_ROC: Stata module to compute power and sample-size analysis for receiver operating characteristic (ROC) analysis |
0 |
0 |
7 |
76 |
3 |
13 |
117 |
852 |
| POWER_STEP: Stata module to compute power for a step intervention with AR(1) Error |
0 |
0 |
0 |
0 |
0 |
0 |
11 |
26 |
| POWER_TWOROC: Stata module to compute power and sample size for a two-sample (independent or paired) ROC test |
0 |
0 |
1 |
10 |
0 |
0 |
21 |
73 |
| PRAISK: Stata module to perform Iterated Prais-Winsten regression with AR(k) errors |
0 |
0 |
0 |
0 |
1 |
6 |
20 |
20 |
| PREVENT: Stata module for computing AHA 10-year and 30-year risk of cardiovascular disease--atherosclerotic and heart failure |
4 |
6 |
20 |
55 |
12 |
22 |
103 |
255 |
| PSTRATA: Stata module for optimal propensity score stratification |
0 |
0 |
3 |
133 |
0 |
1 |
26 |
781 |
| QQPLOT3: Stata module to plot the unweighted and weighted quantiles of one variable against the corresponding quantiles of another |
0 |
0 |
1 |
70 |
0 |
0 |
15 |
806 |
| R2_NAKAGAWA: Stata module for computing Nakagawa's R-squared statistic for multilevel mixed-effects linear regression |
0 |
1 |
5 |
18 |
7 |
22 |
99 |
200 |
| RANDMARKOVSEQ: Stata module to compute a random sequence of values from an underlying discrete time Markov chain |
0 |
0 |
0 |
4 |
1 |
1 |
12 |
19 |
| RANDTREATSEQ: Stata module for generating treatments in a random sequence for each individual in the sample |
0 |
1 |
1 |
8 |
0 |
1 |
14 |
95 |
| REPEATABILITY: Stata module to compute the repeatability coefficient |
0 |
0 |
0 |
9 |
0 |
3 |
23 |
144 |
| RETRODESIGN: Stata module to compute type-S (Sign) and type-M (Magnitude) errors |
0 |
0 |
3 |
51 |
1 |
3 |
22 |
265 |
| RMCLASS: Stata module to compute classification statistics for data with repeated measures |
0 |
0 |
1 |
4 |
0 |
0 |
12 |
44 |
| RMCORR: Stata module to compute a correlation for data with repeated measures |
0 |
1 |
6 |
183 |
4 |
12 |
89 |
1,310 |
| RMLOA: Stata module to compute limits of agreement for data with repeated measures |
0 |
0 |
0 |
44 |
1 |
2 |
20 |
404 |
| ROBINSON: Stata module to compute Robinson's coefficient of agreement |
0 |
0 |
0 |
1 |
0 |
0 |
9 |
67 |
| ROCTABI: Stata module for performing nonparametric ROC analysis using summarized data |
0 |
0 |
1 |
98 |
0 |
3 |
23 |
601 |
| ROSNER: Stata module implementing Rosner's generalized extreme studentized deviate (ESD) procedure to detect multiple outliers |
0 |
0 |
3 |
10 |
1 |
3 |
44 |
94 |
| ROTATESORT: Stata module to sort factors in descending order of loadings after rotate |
0 |
0 |
0 |
0 |
0 |
1 |
19 |
19 |
| RTMCI: Stata module for estimating regression to the mean effects with confidence intervals |
0 |
0 |
2 |
257 |
1 |
2 |
16 |
1,224 |
| RWRMED: Stata module for performing causal mediation analysis using regression-with-residuals |
0 |
0 |
1 |
134 |
1 |
3 |
47 |
806 |
| R_TO_D: Stata module for converting Pearson's r to Cohen's d |
0 |
0 |
1 |
13 |
1 |
2 |
8 |
157 |
| SCHEME_SCIENTIFIC: Stata module to provide a graphic scheme favored by many scientific journals |
0 |
0 |
4 |
135 |
0 |
1 |
27 |
771 |
| SEQFIND: Stata module to find the sequence of a numeric character within a variable list |
0 |
0 |
0 |
11 |
0 |
0 |
7 |
88 |
| SEQUENCES: Stata module for generating versatile numeric sequences |
0 |
0 |
0 |
86 |
2 |
3 |
9 |
1,679 |
| SES_FORECAST: Stata module to compute simple exponential smoothing forecasts with confidence intervals |
1 |
1 |
1 |
1 |
1 |
1 |
17 |
17 |
| SHWINTERS_FORECAST: Stata module to compute Holt-Winters seasonal forecasts with confidence intervals |
0 |
0 |
0 |
0 |
1 |
3 |
8 |
8 |
| SPLITHALF: Stata module to compute split-half reliability |
0 |
1 |
1 |
1 |
0 |
5 |
28 |
28 |
| SRH_TEST: Stata module for computing the Scheirer-Ray-Hare nonparametric two-way analysis of variance test |
0 |
1 |
3 |
3 |
2 |
7 |
19 |
19 |
| STBRIER: Stata module to compute Brier score for censored time-to-event (survival) data |
1 |
1 |
7 |
180 |
5 |
9 |
73 |
1,130 |
| SVALUE: Stata module for computing and graphically displaying S-values against their respective P-values |
0 |
0 |
0 |
33 |
0 |
1 |
13 |
946 |
| SVYSAMPSI: Stata module to calculate sample size for a simple random survey with a dichotomous outcome |
0 |
0 |
4 |
301 |
0 |
1 |
34 |
2,469 |
| TAU2CI: Stata module to compute standard error and confidence interval for the tau-squared statistic in random-effects meta-analysis |
0 |
0 |
0 |
0 |
2 |
3 |
17 |
17 |
| USOS: Stata module for computing the unweighted sum of squares test for global goodness of fit after logistic model |
0 |
0 |
0 |
3 |
3 |
3 |
14 |
48 |
| VARATIO: Stata module for calculating the k-group omnibus variance-ratio balance diagnostic |
0 |
0 |
0 |
0 |
5 |
5 |
5 |
5 |
| WASSTEST: Stata module to perform a k-sample Wasserstein distance equality-of-distributions test |
0 |
0 |
3 |
3 |
5 |
11 |
41 |
41 |
| WKSMIRNOV: Stata module to perform a weighted two-sample Kolmogorov-Smirnov equality-of-distributions test |
0 |
0 |
0 |
0 |
0 |
4 |
4 |
4 |
| WSCV: Stata module to compute the within-subject coefficient of variation |
0 |
0 |
2 |
13 |
1 |
4 |
28 |
142 |
| XTBETARK: Stata module for computing beta regression with AR(k) errors for proportion/rate outcomes, by joint conditional maximum likelihood, with panel-corrected standard errors |
0 |
0 |
0 |
0 |
1 |
2 |
2 |
2 |
| XTITSA: Stata module for performing interrupted time-series analysis for panel data |
4 |
9 |
49 |
505 |
16 |
36 |
252 |
2,840 |
| XTPRAISK: Stata module to perform Prais-Winsten regression with AR(k) errors and panel-corrected standard errors |
0 |
0 |
0 |
0 |
1 |
9 |
9 |
9 |
| Total Software Items |
22 |
61 |
400 |
10,910 |
205 |
569 |
4,208 |
64,684 |
LogEc is hosted by the
Örebro University School of Business.